Properties Of Objects Research Articles

Blockchain and outsourcing for specialised banking communities

This article explores the potential benefits of implementing blockchain technology and outsourcing contracts in the new market participants called specialised banking communities, formed as part of the banking sector reform in Russia. The authors compare this experience to the European model of banks' unions in institutional protection schemes (IPS), highlighting similarities and differences. They emphasize the objective properties of banking communities as subjects of production cooperation in the financial sector. The article also discusses the parameters for implementing a private blockchain network, specifically focusing on the priorities of PoS (Proof of Stake) and DPoS (Delegated Proof of Stake) consensus algorithms. To optimize operational resources, the authors recommend the use of outsourcing contracts for the better distribution of digital production capacities within these communities. Overall, this article highlights the potential of blockchain technology and outsourcing contracts in improving the efficiency and effectiveness of specialised banking communities in Russia.

Analisis Pola Harga Saham dengan Modifikasi Metode Eksponen Hurst dan Box Counting

A stock chart is a graphical representation of a stock's past performance. The dynamic pattern of stock prices is important to know because an investor wants to invest, expecting high returns with low risk. The dynamic pattern of stock prices can be known by fractal dimension analysis because the stock price graph is self-affine, which is one of the properties of fractal objects. In this study, a modification of the Hurst exponent method and box counting are used to analyze the fractal dimension. The calculated results are classified into three types, namely random, persistent and anti-persistent. Two data intervals are observed, namely January 2018-December 2021 stock prices (48 data) and January 2018-June 2022 stock prices (54 data). The resulting Hurst exponents of the two intervals are 0.043 and 0.003. Based on the resulting Hurst exponent value, the data is anti-persistent because the value 0<H<0.5. Then, the fractal dimension value obtained by applying the box-counting method is 1.547 and 1.562, meaning that Bank Rakyat Indonesia's price pattern is anti-persistent. The meaning of anti-persistent is that in certain months the stock has a high price and in the following months the stock has a low price to be traded.

The Physical Vacuum Models with Intrinsic Angular Momentum: From Vorticity of Maxwell’s Luminiferous Ether to Pseudomagnetism

In this work, the main milestones of the development of physical vacuum model with intrinsic angular momentum were considered. J. C. Maxwell was the first researcher who introduced this property in the physical vacuum for the mathematical description of electromagnetic oscillations and results of Faraday’s experiments with magnetic fields. The milestones of the development of Maxwell’s model are the following: the introduction by Planck, Einstein and Stern of atomic oscillators with so-called zero-point energy; the introduction by Feynman of virtual particles created by quantum objects; the introduction of pseudomagnetic interaction between spins by Abragam et al. The enriching of our knowledge about the physical vacuum characterized by intrinsic angular momentum lets us to explain the wave and inertial properties of quantum objects, to create a theory alternative to Special Relativity, to determine the conditions of generation of a process having superluminal speed (spin supercurrent), to determine the conditions of obtaining energy from the spin system of physical vacuum. In some cases, without taking into account this energy (based only on Newton’s laws) the violation of the principles of energy conservation takes place.

TERMS FOR MANAGEMENT OF OCCUPATIONAL RISKS IN THE DRAFT LAW OF UKRAINE "ON SAFETY AND HEALTH OF EMPLOYEES AT WORK"

Consider the requirements of international regulatory acts regarding the management of occupational risks in occupational health and safety systems (hereinafter referred to as OHSS) and determine their compliance with the draft Law on "Safety and Health of Workers at Work". To achieve this goal, the comparative legal method was used, which is the basis of the unification and harmonization of law through international treaties, as well as the method of interdisciplinary synthesis, which made it possible to reveal data on the structural properties of objects of different terms. The requirements of the main documents on risk management in the field of PPE for the draft Law on "Safety and Health of Employees at Work" were analyzed. It was determined that the guiding principles of occupational safety and health management systems - ILO-OSH 2001 (ILO-OSH 2001) have the greatest influence on the development of the draft law. The second edition, 2009, which led to the use of outdated terms, since a significant proportion of Ukrainian enterprises are certified for compliance with the requirements of the ISO 45001:2018 standard or work in accordance with its requirements and, accordingly, use the terms, definitions and methods of occupational risk management set out in this standard . It is proposed to replace the terms and phrases related to the management of occupational risks in the draft Law on "Safety and Health of Workers at Work" based on the requirements of international and domestic regulatory acts in the field of occupational safety and occupational health. In particular, use the words effectiveness instead of efficiency, elimination of danger instead of elimination of risk, prevention of incident instead of prevention of risk. The scientific novelty consists in the substantiation of the terminology related to the provision of risk management, namely, the author's definition of the terms precautionary measures and acceptable risk is provided. Recommendations have been developed for the replacement of terms, phrases and expressions in the text of the draft Law on "Safety and Health of Workers at Work". In particular, "minimization of occupational hazards" to "reduction of the number of occupational hazards, dangerous occupational factors and harmful occupational factors."

Towards Unsupervised Referring Expression Comprehension with Visual Semantic Parsing

Referring Expression Comprehension (REC) is a task that involves grounding a specific object in an image based on a given referring query in the form of bounding boxes. Existing fully-supervised or weakly-supervised REC methods rely on either manually annotated regional coordinates or query texts. In this paper, we propose an unsupervised training paradigm for the REC task that does not require any manual annotated data. Specifically, we introduce a Visual-Semantic-Parsing-based Unsupervised Referring Expression Comprehension framework (VUREC), which leverages a Visual Semantic Parser (VSP) as its core module to recognize the rich semantic information in images and construct pseudo-region-query pairs as the training supervision for REC. The VSP comprises a Scene Graph Parser (SGP) and a Visual Concept Detector (VCD) that can detect the locations, categories, attributes of objects, and visual relationships among them in images. Furthermore, we present a Referring Expression Reasoning (RER) model that utilizes a Multi-Modal Cascade Attention Decoder (MCAD) for fine-grained multi-modality fusion and regresses the four coordinates of the referential object directly. The experimental results on three benchmark datasets of Refcoco, Refcoco+ and Refcocog demonstrate the effectiveness of our proposed method.

Leveraging tensor kernels to reduce objective function mismatch in deep clustering

Objective Function Mismatch (OFM) occurs when the optimization of one objective has a negative impact on the optimization of another objective. In this work we study OFM in deep clustering, and find that the popular autoencoder-based approach to deep clustering can lead to both reduced clustering performance, and a significant amount of OFM between the reconstruction and clustering objectives. To reduce the mismatch, while maintaining the structure-preserving property of an auxiliary objective, we propose a set of new auxiliary objectives for deep clustering, referred to as the Unsupervised Companion Objectives (UCOs). The UCOs rely on a kernel function to formulate a clustering objective on intermediate representations in the network. Generally, intermediate representations can include other dimensions, for instance spatial or temporal, in addition to the feature dimension. We therefore argue that the naïve approach of vectorizing and applying a vector kernel is suboptimal for such representations, as it ignores the information contained in the other dimensions. To address this drawback, we equip the UCOs with structure-exploiting tensor kernels, designed for tensors of arbitrary rank. The UCOs can thus be adapted to a broad class of network architectures. We also propose a novel, regression-based measure of OFM, allowing us to accurately quantify the amount of OFM observed during training. Our experiments show that the OFM between the UCOs and the main clustering objective is lower, compared to a similar autoencoder-based model. Further, we illustrate that the UCOs improve the clustering performance of the model, in contrast to the autoencoder-based approach. The code for our experiments is available at https://github.com/danieltrosten/tk-uco.

Improving the process of investigating industrial accidents using the focal object method

One of the important tasks of implementing the state policy in the field of labor protection is to ensure prompt and objective investigation of industrial accidents. The purpose of the study is to improve the quality of legal support for the investigation process and the objectivity of accident investigation. The article deals with the issues of improving the process of investigation of industrial accidents using heuristic methods, in particular, the method of focal objects. The process of applying the focal object method is investigated, indicating all the main stages and key properties of random objects. A brief review of the authors' publications on improving the process of investigating industrial accidents is made. The author considers the issues of interrelation between the processes of special investigation and investigation within criminal proceedings. The author analyzes the works of researchers on the possibility of using heuristic methods to obtain new modifications of methods and processes by applying the focal object method. As a result of the analysis of modern research methods, the author substantiates the possibility and effectiveness of applying the focal object method not only to objects, but also to processes, in particular, to the process of accident investigation. The article proposes a set of tools for obtaining, forming and evaluating ideas through free associations that arise in the process of combining various properties of focal objects. An approach to the formation of individual elements and the structure of the composition of key properties of random objects is proposed. The results of research based on the obtained ideas are presented in the form of specific useful solutions. The author indicates the ways of synchronizing the processes of special investigation carried out by the accident investigation commission and the investigation carried out within the framework of criminal proceedings by pre-trial investigation bodies. The author also considers the issues of developing strategies and measures aimed at improving the process of legal support for the investigation of industrial accidents

Determining quality indicators for projects of information protection of information activity objects

The design and analysis of the effectiveness of modern integrated information protection systems (IIPS) is complicated by the influence of the designer's subjective decisions regarding methods and means of protection, the need to determine the quality criteria for the functioning of the designed objects. The work is aimed at improving the technology of automated design of IIPS by determining the quality of projects. When creating a database (DB) of objects with such "qualitative" performance indicators of information protection systems, it is possible to compare existing and new protection objects and to adjust the protection projects of existing objects. Moreover, the ontological properties of active and threat-resistant objects are taken into account. To illustrate the use of the methodology for determining and comparing the quality of projects, an example of comparing the quality of projects obtained in different ways is given. One way currently operating involves the use of expert evaluation of the quality of protection projects for existing facilities. The second way is intended for objects defined as objects of protection of the general structure (OPGS) and involves a principally objective assessment of design quality using known quality diagrams and control of Ishikawa and Pareto design consequences. As a result of the given example, it was determined that the quality of projects according to quality diagrams and control of design consequences should increase by more than two times. The proposed method of comparing the quality of information protection projects for different objects or different protection projects of one object allows to improve the process of creating information protection projects. At the same time, it is possible to exclude the human controller from the process of determining the reliability of object protection. It also allows you to automate the design process, reduce the time and cost of design costs

A REVIEW ON BENZANTHRONE LUMINOPHORES FOR RAPID AND HIGH-RESOLUTION IMAGING OF PARASITES BY CONFOCAL LASER SCANNING MICROSCOPY

Nowadays, is growing interest in investigation of parasites and their anatomic structure. Most common tools are linked with usage of luminophores and luminescent microscopy techniques. In recent years, a variety of fluorescent probes have been developed and widely used to realize the visualization of certain structures [1]. The benzanthrone compounds captivated a lot of interest as fluorescent probes for biomedical technologies because of remarkable spectral properties and negligible fluorescence in the aqueous phase [2]. Notably, the spectral characteristics of benzanthrone dyes meet the criteria for an ideal bio-imaging agent, featuring a high extinction coefficient, bright fluorescence, photo-, thermo- and chemical stability, and reduced background signal [3]. Fluorescent molecular dyes, currently used to study cell membranes, make lipid structures visible through optical techniques [4] and act as potential fluorescent probes for biomolecules [5]. There are studies in the literature where the benzanthron phosphors have confirmed their application for visualization of biological objects [6-8]. Despite high activity in this field, still it`s huge request for specific fluorescent probes for biological objects. The confocal laser scanning microscope (CLSM) is a powerful tool for providing high-resolution optical sections. CLSM can be used to analyse images of morphological structures and to place organ or organ systems of interest in their anatomical context. Luminescence imaging techniques are increasingly utilized for exploring the structure and properties of biological objects. Laser-induced fluorescence stands out as a sensitive method, capable of detecting even a single-molecule under specific conditions [9], which makes it a powerful bioanalytical tool for life sciences [10 12]. Benzanthrone derivates are used for CLSM imaging as fluorescence probe for various biological objects because benzanthrones render the specimen fluorescent to examine the stained samples by optical sectioning [13,14]. This review provides inputs in utilisation of different benzanthrone luminophores for examination of the parasites.

Spontaneous Hierotopia in Modern Myth-Making: The Case of Arkaim

The phenomenon of spontaneous hierotopia is considered as a process of spontaneous sacralization of places, which, according to the participants of this activity, have supernatural properties. Its development is conditioned, on the one hand, by the effect of the image of the sacred rooted in the cultural consciousness, on the other hand, by modern socio-cultural problems, in relation to which spontaneous hierotopia acts as a compensating factor. This phenomenon has insufficiently reflected positive potential embodied in a set of vital functions. Therefore, the aim of this paper is to analyze the peculiarities of spontaneous hierotopia, which expresses the real needs of the subjects involved in this activity, who act outside the institutional systems, including confessional ones. Therefore, their cultural creation is characterized by eclecticism and bricolage way of creating sacred artefacts, which is typical for spontaneous myth — making in general.The autonomy and uncontrollability of this phenomenon to the generally accepted institutional systems generates a sharply critical reaction from secular (scientific) and religious (traditional-confessional) authorities. The analysis shows the lack of objectivity of such criticism: claims to the unscientific nature of spontaneous hierotopia are unfounded due to the fact that it is based on mythological imagination; the inconsistency with canonical attitudes is an irreversible consequence of personal and creative situational construction of sacred objects.Concretization of the peculiarities of spontaneous hierotopia, made on the example of the archeological monument Arkaim, allowed to reveal the main regularities of the process of spontaneous sacralization and to establish the urgency of the problems reflected in it. Specific features of the formation of sacralized loci are analyzed. The special atmosphere of tolerance, peacefulness and positive interaction inherent in such places due to the totality of their subjective and objective properties is characterized.

Temporal Electroencephalography Traits Dissociating Tactile Information and Cross-Modal Congruence Effects.

To explore whether temporal electroencephalography (EEG) traits can dissociate the physical properties of touching objects and the congruence effects of cross-modal stimuli, we applied a machine learning approach to two major temporal domain EEG traits, event-related potential (ERP) and somatosensory evoked potential (SEP), for each anatomical brain region. During a task in which participants had to identify one of two material surfaces as a tactile stimulus, a photo image that matched ('congruent') or mismatched ('incongruent') the material they were touching was given as a visual stimulus. Electrical stimulation was applied to the median nerve of the right wrist to evoke SEP while the participants touched the material. The classification accuracies using ERP extracted in reference to the tactile/visual stimulus onsets were significantly higher than chance levels in several regions in both congruent and incongruent conditions, whereas SEP extracted in reference to the electrical stimulus onsets resulted in no significant classification accuracies. Further analysis based on current source signals estimated using EEG revealed brain regions showing significant accuracy across conditions, suggesting that tactile-based object recognition information is encoded in the temporal domain EEG trait and broader brain regions, including the premotor, parietal, and somatosensory areas.

Dielectric cylinder discrimination with ANN using phase information of synthesized time-domain response

The application of the three-component stacked artificial neural network (ANN) for discrimination of dielectric cylinders of different diameters using phase information of synthesized time-domain response is considered. The network consists of two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. In contrast to well-known results, information about the phase of the time-domain signal, which is synthesized from multi-frequency data, is used for discrimination. For ANN training, phase images for cylinders with the radius of 15 to 35 mm are obtained using the method of auxiliary sources (MAS) The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 0 dB.

Performance of myotonometer in the assessment of skin involvement in systemic sclerosis.

A clinically practical tool to assess skin biomechanical properties rapidly and accurately is still lacking. Our aim was to examine the intra- and inter-observer reproducibility of a myotonometer for objective skin property assessment in systemic sclerosis (SSc), comparing it with the modified Rodnan skin score (mRSS), and distinguishing patients from healthy controls. Thirty-four patients (21 limited and 13 diffuse SSc), and 31 age and gender-matched healthy controls were enrolled. Skin tone and stiffness were measured at four different anatomical sites (the forearm, hand, leg, and foot) using a myotonometer. The correlation between the mRSS and skin properties was assessed. Also, hand functionality was evaluated for possible correlations between the variables. The differences in skin properties between dcSSc and lcSSc patients, and healthy controls were assessed using variance analysis. Intra- and inter-examiner reproducibility were excellent (ICC = 0.70 to 0.98) for tone and stiffness except for non-dominant hand tone, which showed good reliability (ICC = 0.64 to 0.74). Stiffness and tone values of the hands, forearms, and feet significantly correlated with mRSS total score (r = 0.40 to 0.71, p < 0.05). Additionally, tone and stiffness of the hands and forearms moderately correlated with hand function (p < 0.05). Tone and stiffness values increased in patients with dcSSc compared to healthy controls, or patients with lcSSc, at the hands, forearms, and legs (p < 0.05). Our findings emphasize the potential utility of the myotonometer for assessing skin properties and differentiating SSc patients from controls, demonstrating its promise as a valuable clinical evaluation tool in this context. Key Points •The myotonometer displayed excellent intra- and inter-examiner reproducibility for assessing skin properties. •Skin tone and stiffness parameters well correlated with the mRSS scores. •The myotonometer can distinguish patients with diffuse cutaneous SSc from healthy controls.

Design of an image-based BRDF measurement method using a catadioptric multispectral capture and a real-time Lambert calibration.

By utilizing a catadioptric system and a calibration Lambertian sample, a compact measurement method of bidirectional reflectance distribution function (BRDF) has been proposed for rapid and accurate measurement. With the help of an ellipsoidal dome mirror, a hyperboloid mirror, and a high-resolution camera, spatial reflectance distributions from reflected directions with a large field of view (FOV) can be obtained. The built-in Lambertian standard allows for real-time calibration to account for fluctuations in the illumination spectrum, effectively reducing the measurement drift and achieving a high accuracy. Moreover, a multispectral camera captures images at 8 spectral bands for accurate spectral color reconstruction from different directions. To verify the method, a prototype capable of fast, high-resolution measurements with a large FOV has been developed for characterizing the scattering properties of objects. It achieves a measured angular range up to 160°. Multispectral BRDF data for each sample can be obtained within 5 minutes with an angular resolution of less than 0.6°. Eight ceramic samples with different colors were selected for the verification of measurement accuracy, and their mean relative bias of BRDF measurement was found to be as low as 2.5%.

Phasal transfer and anti-locality: Movement of objects in Japanese

In this paper, based on an analysis of the scope properties of objects in Japanese, I argue that&amp;nbsp;(i) an entire phase is transferred when a higher phase is completed, and (ii) the movement of&amp;nbsp;objects and adjuncts is constrained by anti-locality. I propose that in the potential construction,&amp;nbsp;the movement of accusative objects is more constrained than the movement of nominative&amp;nbsp;objects owing to the interaction between phasal transfer and anti-locality, which leads the&amp;nbsp;accusative and nominative objects to exhibit distinct scope behaviors. This analysis leads us to&amp;nbsp;conclude that negation in Japanese is an adjunct. Furthermore, the analysis correctly predicts&amp;nbsp;the movement of objects in simple transitive sentences and the non-movement of nominative&amp;nbsp;phrases in certain cases.

Is it possible to speak about the two-dimensional nature of the dielectric properties of layered perovskite-like compounds of the family of Aurivillius–Smolensky phases?

Two-dimensionality of the properties of a volumetric object may be defined by its anisotropy. Perovskite-like compounds of the family of Aurivillius–Smolensky phases (ASPs) have exactly this property. By studying perovskite-like compounds of the family of Aurivillius–Smolensky phases and the changes in the volume of the crystal lattice, occurring in them, namely the increase or decrease in the phase transition temperature (Curie temperature), the preferred direction of grain growth with an increase in the sintering temperature and, as a consequence, the increase in the relative permittivity, the main factor in all cases is the change in the linear parameters a and b, lying in the plane perpendicular to the c-axis.

Quality assurance thermophysical aspects of highly porous implants with cellular structure obtained by selective laser melting

Selective laser melting (SLM) is an additive manufacturing process that involves the layer-by-layer construction of a three-dimensional object by local melting of a powder layer based on a prepared CAD model. This technology makes it possible to manufacture products of complex configuration, including internal channels of complex geometry. Such products include personalized highly porous implants, which are subject to very strict requirements in the field of elastic and strength properties, ensuring their compliance with the properties of the biological objects being replaced. The quality of highly porous cellular products formed by the selective laser melting method based on metal powder compositions is determined by a significant number of factors, the combined influence of which is difficult to control. At the same time, the structure and mechanical properties of highly porous cellular materials (HPCM) obtained by laser synthesis are largely determined by the melt bath shape stability, which depends on the ability of local heat dissipation, which in turn is determined by the fused product geometry. Under these conditions, simulation of thermal processes, including the prediction of the part fusion temperature modes, is of paramount importance. This study focuses on the numerical analysis of the powder layer thermophysical parameters during the laser melting process, which is difficult to analyze by direct measurements, and a computational model based on COMSOL Multiphysics has been created to predict the melt bath temperature field. The numerical model made it possible to quantify the influence of the selective laser melting process parameters (laser power and scanning speed) in combination with the choice of material and topology of the part on the temperature fields formation to determine the process technological parameter and the features of creating geometry for additive manufacturing, which make it possible to obtain products of proper quality. Cellular implants based on Ti6Al4V powder have been grown by selective laser melting.

Correlative externalism about colour phenomenology

ABSTRACT Externalism about colour phenomenology claims that the phenomenal character of colour experiences is determined by mind-independent properties of perceptual objects. The structural mismatch argument shows that physical properties of perceived mind-independent things are not similar in ways that correlate with the ways in which the phenomenal character of colour experiences are similar. Structural mismatch has thus been perceived by some to demonstrate that correlative externalism (which takes mind-independent physical properties to correlate systematically with colour phenomenology) is false. This argument is defused if there are broad physical properties that can bear similarity relations that do correlate with those held by the phenomenal character of colour experiences. I defend the view that disjunctive properties can perform this role by showing that disjunctive properties can account for metamerism, the unique and binary hue distinction, and differences in perceived colours between subjects. Finally, I argue that correlative externalism is better placed than other views to explain why the physical properties identified by the physical sciences correlate with colour experiences with the particular phenomenal character they have.

For deep networks, the whole equals the sum of the parts.

Deep convolutional networks exceed humans in sensitivity to local image properties, but unlike biological vision systems, do not discover and encode abstract relations that capture important properties of objects and events in the world. Coupling network architectures with additional machinery for encoding abstract relations will make deep networks better models of human abilities and more versatile and capable artificial devices.

Optimizing the Effectiveness of Magnetic Lenses by utilizing the Electron Optical Design (EOD) Software

This paper introduces a computational analysis that discusses an approach for optimal synthesis in the design of magnetic lenses, specifically focusing on the analytical method. A widely employed approach for magnetic lens design involves utilizing an analysis optimization procedure, which makes use of the finite element method and is supported by Munro programs. In this study, this approach has been employed to explore magnetic lenses using the Electron Optical Design (EOD) software. The study offers insights into the role of the air gap in magnetic lens design, highlighting its importance in optimizing objective and projector properties. The analysis reveals that variations in the air gap (S) significantly influence the performance of magnetic lenses. Decreasing the air gap when it is set to (3) leads to substantial improvements in objective optical properties and focal length. Conversely, increasing the air gap when it is set to (12) enlarges the half-width of the axial magnetic field while reducing the maximum magnetic field value. These findings underscore the importance of carefully optimizing the air gap to achieve desired lens performance. The focal length is determined using this input data and coefficients of aberration (spherical and chromatic) of the objective. The study focuses on the influence of a crucial geometric parameter, specifically the air gap (S), on both objective and projector properties. Its importance stems from its capability to pinpoint the suitable geometry for magnetic lenses, thereby facilitating their efficient application.