Methods Of Multidimensional Analysis Research Articles

Improved MLP Energy Meter Fault Diagnosis Method Based on DBN

In order to effectively utilize the large amount of high-dimensionality historical data generated by energy meters during operation, this paper proposes a DBN-MLP fusion neural network method for multi-dimensional analysis and fault-type diagnosis of smart energy meter fault data. In this paper, we first use DBN to strengthen the feature extraction ability of the network and solve the problem of many kinds of feature data and high dimensionality of historical data. After that, the processed feature information is input into the MLP neural network, and the strong processing ability of MLP for nonlinear numbers is used to solve the problem of weak correlation among data in the historical data set and improve the accuracy rate of faults diagnosis. The final results show that the DBN-MLP method used in this paper can effectively reduce the number of training iterations to reduce the training time and improve the accuracy of diagnosis.

Multidimensional visualization of the dynamic evolution of Limetal via insitu/operando methods.

The growing demands for high-energy density electrical energy storage devices stimulate the coupling of conversion-type cathodes and lithium (Li) metal anodes. While promising, the use of these "Li-free" cathodes brings new challenges to the Li anode interface, as Li needs to be dissolved first during cell operation. In this study, we have achieved a direct visualization and comprehensive analysis of the dynamic evolution of the Li interface. The critical metrics of the interfacial resistance, Li growth, and solid electrolyte interface (SEI) distribution during the initial dissolution/deposition processes were systematically investigated by employing multidimensional analysis methods. They include three-electrode impedance tests,in situ atomic force microscopy, scanning electrochemical microscopy, and cryogenic scanning transmission electron microscopy. The high-resolution imaging and real-time observations show that a loose, diffuse, and unevenly distributed SEI is formed during the initial dissolution process. This leads to the dramatically fast growth of Li during the subsequent deposition, deviating from Fick's law, which exacerbates the interfacial impedance. The compactness of the interfacial structure and enrichment of electrolyte species at the surface during the initial deposition play critical roles in the long-term stability of Li anodes, as revealed by operando confocal Raman spectroscopic mapping. Our observations relate to ion transfer, morphological and structural evolution, and Li (de)solvation at Li interfaces, revealing the underlying pathways influenced by the initial dissolution process, which promotes a reconsideration of anode investigations and effective protection strategies.

The Inter/Transdisciplinary Framework for Urban Governance Intervention in the Egyptian Informal Settlements

There is a need to understand the complex nature of informal settlements to achieve Sustainable Development Goal 11: “Making cities and human settlements inclusive, safe, resilient, and sustainable”. Thus, addressing the urban governance of informal settlements requires an inter/trans-disciplinary scope to reach a cross-cutting agenda that combines social/behavioral, economics, and public health with the built environment disciplines. Respectively, this paper aims to establish an integrative framework based upon a blended inter/trans-disciplinary approach of urban governance for informal settlements in Egypt. The study adopts a theoretical analytic methodology to achieve its aim by reviewing the literature on informal settlement policies. It argues that the inter/trans-disciplinarity approach contributes to integrative urban governance agendas that enhance the quality of life of informal settlements. While exploring three bottom-up perspectives of understanding the formation of informal urban settings—socioeconomic, morphological, and sociophysical—an integrative model is developed to allow a contextual perspective for examining informal domains. The model is articulated to guide the purpose of the multidimensional analysis methods for investigating informal contexts. An integrative agenda with six analysis tasks, each involving interdisciplinary group of academics, experts, stakeholders, and authorized representatives, is outlined by the method originated in this paper. Ultimately, and concerning aspects of sustainable urban cities, the paper introduces an integrative agenda that enables overcoming gaps in current upgrading practices when examining the informal settlements of the Egyptian contexts.

On the 60th anniversary of CEMI RAS: about some works and people

The article describes the history of the creation of two computer systems – "MESOSAUR" and "SANI", developed at the CEMI at the end of the last century under the leadership of S. A. Aivazyan, as well as the role of S. A. Ayvazyan in the development and use of methods of multidimensional statistical analysis, and the approach he developed to assessing the quality of life.

IMPACT OF RUSSIAN MILITARY AGGRESSION ON THE DEVELOPMENT OF HUMAN CAPITAL IN THE REGIONS OF UKRAINE

The article examines the impact of Russian military aggression in 2014 on the development of human capital in the regions of Ukraine. The author’s understanding of the socio-economic category "human capital" is presented. In order to build an integral indicator of the level of development of human capital in the region, it is proposed to consider the following structural components and partial primary diagnostic indicators of this capital: economic-demographic component, educational-scientific component, medical-biological component, socio-cultural component. Due to the fact that before and after the full-scale invasion of Russian troops into Ukraine on February 24, 2022, the available statistical data on this capital in open sources are not the same, the research was carried out on the basis of annual data only for the years 2013-2020. The article examines this influence using an approach that consists in using the methods of multidimensional statistical analysis, in particular, the method of constructing an integral summarizing indicator, to perform calculations. The results of the study showed that the Russian military aggression in 2014 had a significant negative impact on the development of human capital in the regions of Ukraine.

БІЛІМ АЛУ ҮДЕРІСІНДЕГІ МЕДИАРЕСУРСТАРДЫҢ ЕРЕСЕКТЕРДІҢ КОГНИТИВТІ СФЕРАСЫНА ӘСЕРІ

The article uses a new method of multidimensional data analysis to study the mechanisms of influence on the development of the cognitive sphere of adults through media resources. This technique makes it possible to more accurately measure the cognitive abilities of adults and assess the effects associated with the use of media resources. The study identified new factors influencing the cognitive development of adults through the use of media resources. In particular, research can reveal which types of media resources have the greatest potential for improving adults' cognitive abilities, as well as how much of their use is most effective. The research may help to develop new teaching methods that allow more effective use of media resources for learning and developing the cognitive domain of adults. The results of the study can be used to develop new methods of self-education for adults based on the use of media resources. This will help reduce the cost of education and increase the availability of educational resources for adults, as well as improve the quality of education and increase the efficiency of the educational process.

Solving problems of agricultural production development by modeling using the cluster analysis method

The article outlines the need to apply a systematic approach to the analysis and solution of agricultural production development problems. The system approach implementation is carried out using a multidimensional data analysis method – the cluster analysis method. A system of indicators characterizing the conditions and results of agricultural enterprises in the regions of the Central and Volga Federal Districts of the Russian Federation has been built, a multidimensional grouping of regions has been carried out to identify problems and directions for their solution. The multidimensional approach to the study allowed an objective analysis and formulation of well-founded specific conclusions and recommendations for the regions of each cluster. As a result, two clusters of regions were identified according to the level of agricultural production development. Subclusters are also allocated within clusters to detail and concretize proposals. Recommendations on agricultural production development are made to the regions of each cluster. The directions for the formation of the strategy for the development of agriculture of the corresponding groups of regions and territories are outlined.

A Corpus-based Multi-dimensional Analysis on Chinese and US Corporate Responsibility Reports: A Case Study of HUAWEI and Apple

The discourse of Corporate Social Responsibility (CSR) report can predict the performance of CSR. Research on the CSR report of international well-known companies can provide reference and encouragement for others listed companies. Based on the multi-dimensional analysis method of Biber, this study investigates the linguistic features of the CSR report discourse of Huawei and Apple. This study makes a comparative analysis of the CSR discourse from the two firms, to explore the differences in discourse functional dimensions between Chinese and American corporate CSR reports. This study finds that, on the one hand, there are differences between Chinese and American CSR reports in dimensions of Involved versus Informational Production, Explicit versus Situation-dependent Reference, and Abstract versus Non-abstract Information. Compared with Apple’s CSR reports, Huawei’s CSR reports are more informative and explicit, but less interactive and abstract. On the other hand, there is no significant difference between Huawei’s and Apple’s CSR reports in Narrative versus Non-narrative Concerns and Overt Expression of Persuasion dimensions, indicating that CSR reports are less narrative and persuasive in both Chinese and American firms. This study has implications for improving the quality of Chinese enterprises’ CSR reports and enlightenment value for corporations to improve social responsibility performance.

Прогнозирование динамики пробега локомотивов с учетом влияния неисправностей и модернизаций узлов

Purpose: To improve planning system for depot and factory repairs and for locomotive up-grades in the conditions of new rolling stock delivery on the basis of life-cycle contract by the way of the development and application of mathematical model for prognosing average daily and linear runs given the impact on run of technical-technological, seasonal and random fac-tors as well as defects, limiting junctions, and their upgrading. Methods: To achieve the set goal realization, the impact assessment for non-productive downtime of new locomotives at repairs as a result of clearing of junction defects and an equipment and of downtime in wait-ing for planned repairs on dynamics of average daily and linear runs was carried out. Based on the method of multidimensional spectral singular analysis and the prognosis of time series Multi-Channel Singular Spectrum Analysis, the mathematical model on run prognosis which algorithm for, has been embodied in integrated programming environment Visual Studio (2019) on C++ programming codes. Results: Run determination method given junction and equipment possible defects and given being planned upgrading has been proposed. Practical importance: In the conditions of life-cycle contract application which frames in, the participa-tion of locomotives and their components manufacturers in the technical support of supplied products throughout their entire service-life is implied, the usage of the proposed model at re-pair program monthly, quarterly and annual planning, would reduce the downtime in waiting for putting into a repair position on account of more accurate forecast, rationally distributed repairs, materials, stock of linear equipment between service manufactures.

DIFFERENTIATION OF THE LEVEL OF SOCIO-ECONOMIC DEVELOPMENT OF RURAL AND SEMI-URBAN MUNICIPALITIES OF THE WIELKOPOLSKIE VOIVODESHIP IN 2004–2020

Aim: The study aims to identify the spatial diversity and possible concentrations of the 207 rural and semiurban municipalities of the Wielkopolskie voivodeship (Poland) regarding their level of socio-economic development. Methodology: Measuring the local development requires the use of several variables due to its multidimensional character. The Hellwig development measure was used, which is one of methods of multidimensional analysis. The LAU-2 administrative units were ranked according to the level of socio-economic development. The research period covers the years 2004–2020, i.e. from the year of Poland’s accession to the European Union until the end of the previous financial perspective. The variables used in the study concerned the main spheres of local development: demography, social activity, labour market, infrastructure, entrepreneurship, and local finance. Results: Rankings constructed for 3 periods – 2004, 2012 and 2020 – made it possible to observe the improvement in the level of development of municipalities surrounding the main city of the Wielkopolskie voivodeship, Poznań, whereas municipalities located peripherally in the eastern part of the voivodeship were characterised by a low or very low socio-economic development level. Conclusions:A positive impact of the city on the surrounding rural area can be noticed, complementing its functions by locating enterprises in areas with lower rents and taxes as well as settling people commuting to the city every day to work. On the other hand, peripheral municipalities were characterised by some undiscovered or unexploited development potential, including tourist attractions.

Analysis of the rate of socio-economic changes in rural areas between 2010 and 2020. Polish case

The article presents the results of research on the transformation process in the Polish country-side between 2010 and 2020, taking into account those rural communes where the State-Owned Farms (PGR) were located. The study aimed to identify the spatial diversity of post-PGR communes on the grounds of socio-economic situation and to assess the rate of change in this situation in the surveyed communes over 11 years, as well as to answer the question how the socio-economic situation was influenced by the location of a given commune relative to province capitals. In the analyses, selected methods of descriptive statistics and multidimensional comparative analysis were applied. The results confirmed that in many post-PGR communes, also these days, we can observe financial problems, and that people experience significant difficulties with entering the labour market. The research also showed that in most cases communes located close to these cities were characterized by a better socio-economic situation than the communes located further away.

Investigation of E-27 and Candidate Countries’ Lifelong Learning, R&D–Innovation Performances and Gross Domestic Product by Multidimensional Scaling Analysis

Vocational and technical education, which is offered in the quality required by the era, plays a major role in the growth of economies and the development of societies by raising entrepreneurs with R&D, P&D, and innovation awareness, as well as being a means of raising a productive workforce in a systematic and planned way. The lifelong learning journey also offers a great contribution to this process. The aim of this study is to evaluate the effects of these factors on the economies of countries by comparing the lifelong learning, entrepreneurship, and innovation performances of countries with their per capita gross domestic product within the scope of both the data in the Global Innovation Index (GII) report and the data in the European Innovation Index scoring table. Ideas produced by using information-intensive innovative technologies and the products that emerge with the realization of these ideas contribute to economic growth by strengthening the competitiveness and economic structure of countries, thus, increasing living standards and increasing welfare. In this respect, it is important to measure and evaluate the lifelong learning, R&D, and innovation performances of countries. A multidimensional scaling analysis method was used in the study. In the analysis of data and documents obtained, it has been found that the countries that construct and carry out their vocational education and training activities according to the realities and needs of today’s world, have high R&D, innovation, and lifelong learning performances. It has been seen that the value added created in this way is also high and that has a decisive effect on their economic growth.

혁신학교 정책에 대한 다차원적 IPA 분석

Purpose: The purpose of this study was to evaluate the Innovation School policy that has spread nationwide since 2009 through Cooper’s multidimensional policy analysis method. Based on this, the future direction of the Innovation School was discussed. Methods: A survey was conducted on elementary, middle, and high school teachers’ perceptions in area A, which has been operating the Innovation School since 2015. By applying a four-dimensional model as a tool for evaluating policy, the Innovation School policy was divided into normative-dimension, structural-dimension, constituentive-dimension, and technical-dimension domains. Based on this, the importance-performance analysis (IPA) was performed. Results: As a result of the study, democratic management was recognized as the most urgent and intensive factor to be supplemented. In addition, the importance and performance were rated the lowest for connection with the local community. In addition, the participation and role of staff and parents in the management of the Innovation School were found to be insignificant. And teachers’ perceptions pointed out the ambiguity of the roles of school supervisors and demanded that the meaningless evaluation be avoided. Conclusion: Teachers' perceptions can be perceived as a threat to the sustainability of the Innovation School. The local community and several school members were excluded from the Innovation School policy which was aimed at the broader school community. The question of democracy was also being raised, and this area can be evaluated as requiring another innovation.

Application of multidimensional analysis methods in studying the dynamics of planktonic cyanobacteria, diatoms and chlorophyta biomass in the southern part of Lake Peipus

The influence of hydrological and hydrochemical conditions on the long-term biomass dynamics is studied using three taxonomic groups of microalgae in Lake Peipus (Cyanobacteria, Chlorophyta and Diatoma). Cluster analysis based on long-term phytoplankton biomass dynamics in the lake showed that blue-green algae stood apart, while diatoms and green algae were quite similar to each other. The rationale for the application of principal components analysis is that this procedure allows reducing the data set and creating independent components, making it much easier to describe patterns in the systems. Before the analysis, data were checked for multicollinearity using correlation analysis. Analysis revealed five principal components which determined the patterns of change in phytoplankton biomass. It is shown that Cyanobacteria depend the most on the lake temperature regime and the content of dissolved mineral and organic compounds in the water, which is in full agreement with the data reported by other authors. Chlorophyta, compared with blue-green algae, are more sensitive to the acidbase balance of the water. As for diatoms, only the water level and the duration of the ice-covered period matter

Diagnostics оf Transparency оf Ukrainian Banking Institutions Using Multivariate Analysis Methods

Due to the imperfect state of transformations in the financial system of Ukraine and the banking sector, there is a steady tendency to increase the number of financially insolvent enterprises in various industries. This is especially true for the banking market, where considerable qualitative and quantitative changes have occurred recently. The purpose of this study is to investigate the problem of managing the of banking institutions by diagnosing the transparency level of their activities. The research methodology lies in forming a system of indicators to estimate the transparency level of business entities’ activities, assessing the level of direct impact on the level of transparency, and classifying business entities according to a two-level system of factors influencing transparency. The final stage of the methodology is the positioning of banks according to transparency level to formulate vectors for improving transparency management policies. The combination of multidimensional analysis methods, namely applied econometric methods, cluster and variance analysis, allows classifying business entities according to the transparency level, considering differentiation. The result of the differentiation is a matrix of positioning the transparency level of banking institutions according to a two-level system of factors. The proposed scientific and methodological approach to calculating the transparency level of a business entity, namely banking institutions, which, apart from the financial block, includes other criteria, enables a much broader study of the state of activity of the business entity. The use of this scientific and methodological approach helps reduce the level of information asymmetry, increase the flexibility of the business entity’s response to external shocks, which increases confidence in business entities, improves their business reputation and is certainly reflected in financial indicators. Positive improvements in the financial performance of individual business entities, increasing the flexibility and trust in them, will help increase the transparency of financial flows that move in the country.

Short Report: Outcomes for siblings associated with sub-groups of autistic children with intellectual disability identified by latent profile analysis

BackgroundRecent research suggests that having a brother or sister with autism may contribute to increased positive or negative emotional or psychological impact on siblings. AimsTo use a novel multidimensional data analysis method to further understand outcomes for siblings of autistic children. Methods and Procedures318 siblings of children with a recorded autism diagnosis and an intellectual disability were included for latent profile analysis. Five variables (DBC disruptive and anxiety; VABS II communication, daily living, and socialization skills) were used to identify sub-groups of autistic children. Primary carers reported on sibling relationship quality (items from the Sibling Relationship Questionnaire warmth/closeness and conflict scales), and siblings’ behavioral and emotional problems. Outcomes and resultsThe profile groups differed in their levels of ID coupled with disruptive behavior, emotional problems and adaptive skills. Profiles included a severe ID, low behavior and emotional problems and low adaptive skills group; a group with mild ID coupled with high adaptive skills and low emotional and behavioral problems; and a mild ID group with high emotional and behavioral problems. Conflict in the sibling relationship differed across the profile groups (F (4304) = 15.13, p < .001). Conclusions and implicationsSiblings of autistic children with the highest support needs were reported to have the lowest conflict in their relationships. Conversely, siblings of the autistic children with the highest levels of externalizing behaviors and anxiety were reported to have the highest levels of conflict in the sibling relationship.

Developing the methodology for health risk assessment within public management of sanitary-epidemiological welfare of the population

The article focuses on generalizing Russian scientific and methodical developments aimed at updating and supplementing the health risk assessment methodology. This methodology is a key component in tackling tasks related to providing sanitary-epidemiological welfare of the population. Russian approaches to risk assessment are shown to have a significant peculiarity, which is a wide use of methods of multidimensional statistical analysis, mathematical modeling, fuzzy logic, and their combinations. The most significant Russian scientific innovations include development of qualitative risk assessment, non-carcinogenic health risks included; severity of health disorders taken into account in risk assessment; methodical support for assessing integral risks under exposure to heterogeneous environmental factors. Russian experts suggested and developed an idea that it was possible to model evolution of risks and their growth under changing exposures. Approaches to assessing risks evolution under long-term exposure to variable factors made it possible to solve a whole set of applied hygienic tasks. In addition to establishing qualitative characteristics of non-carcinogenic risks under exposure to chemicals, methods for assessing risks under exposure to environmental noise, certain lifestyle factors and factors related to work process have also been substantiated and implemented. Progressive development of the health risk assessment methodology ensured operative, smooth and effective transitions of control and surveillance activities performed by Rospotrebnadzor onto a fundamentally new control platform that relies on the risk-based model. Obviously, analytical opportunities offered by the health risk assessment methodology are extensive. Development of methodical grounds in hygiene and epidemiology as well as design of applied algorithms and approaches to risk assessment and management based on the fundamental methodology should involve several trends. We should extend our knowledge on mechanisms of health disorders under exposure to heterogeneous environmental factors and work-related ones; hygienic standardization needs improvement; we should apply situational modeling and prediction of sanitary-epidemiological welfare under changing or preset conditions; we should provide substantiation for the strategic and tactical regulatory actions aimed at managing threats and risks. The experience accumulated in developing the health risk assessment methodology in variable spheres should be considered a starting point for creating new risk assessment and risk management technologies. They should give an opportunity to solve any tasks related to providing sanitary-epidemiological welfare of the population in the Russian Federation.

Развитие методологии анализа риска здоровью в задачах государственного управления санитарно-эпидемиологическим благополучием населения

The article focuses on generalizing Russian scientific and methodical developments aimed at updating and supplementing the health risk assessment methodology. This methodology is a key component in tackling tasks related to providing sanitary-epidemiological welfare of the population. Russian approaches to risk assessment are shown to have a significant peculiarity, which is a wide use of methods of multidimensional statistical analysis, mathematical modeling, fuzzy logic, and their combinations. The most significant Russian scientific innovations include development of qualitative risk assessment, non-carcinogenic health risks included; severity of health disorders taken into account in risk assessment; methodical support for assessing integral risks under exposure to heterogeneous environmental factors. Russian experts suggested and developed an idea that it was possible to model evolution of risks and their growth under changing exposures. Approaches to assessing risks evolution under long-term exposure to variable factors made it possible to solve a whole set of applied hygienic tasks. In addition to establishing qualitative characteristics of non-carcinogenic risks under exposure to chemicals, methods for assessing risks under exposure to environmental noise, certain lifestyle factors and factors related to work process have also been substantiated and implemented. Progressive development of the health risk assessment methodology ensured operative, smooth and effective transitions of control and surveillance activities performed by Rospotrebnadzor onto a fundamentally new control platform that relies on the risk-based model. Obviously, analytical opportunities offered by the health risk assessment methodology are extensive. Development of methodical grounds in hygiene and epidemiology as well as design of applied algorithms and approaches to risk assessment and management based on the fundamental methodology should involve several trends. We should extend our knowledge on mechanisms of health disorders under exposure to heterogeneous environmental factors and work-related ones; hygienic standardization needs improvement; we should apply situational modeling and prediction of sanitary-epidemiological welfare under changing or preset conditions; we should provide substantiation for the strategic and tactical regulatory actions aimed at managing threats and risks. The experience accumulated in developing the health risk assessment methodology in variable spheres should be considered a starting point for creating new risk assessment and risk management technologies. They should give an opportunity to solve any tasks related to providing sanitary-epidemiological welfare of the population in the Russian Federation.

Altered activity in functional brain networks involved in lexical decision making in bipolar disorder: An fMRI case-control study

BackgroundBrain networks involved in language, attentional and response processes are detectable by fMRI during lexical decision (LD). Here, we investigated possible abnormalities in the functional networks involved in LD in patients with bipolar disorder (BD). MethodsfMRI and behavioural data were compared between BD (n = 25) and control (n = 21), with groups matched for age and sex. The functional brain networks involved in LD were extracted by manipulating the “word-likeness” of LD stimuli and using a multidimensional analysis method. ResultsAttentional, response and language processes were captured in separate function-specific brain networks (default mode network, response network, linguistic processing network, respectively) in the BD and control groups, replicating the results of our previous study in an independent group of healthy adults. Behaviourally, the BD group showed higher performance than the control group in the LD task. Activity in the default mode network (DMN) and the linguistic processing network (LPN) did not differ between the groups, but the BD group had higher activation than the control group in the response network (RESP). LimitationsDue to the small sample, the study is underpowered, capable of only detecting large effects. ConclusionsThe results suggest that BD may be associated with sustained activity in the RESP network, which might contribute to psychomotor dysfunction in BD. Future studies should investigate the possible link between altered RESP activation and psychomotor disturbances in BD, as well as the basis for altered RESP activity in BD.

Methodology of application of methods of multidimensional and dynamic analysis when studying living standards of the population

The article presents fundamental approaches to the study of periods of development of socio-economic indicators and their mutual influence. The forms of influence of indicators on each other are investigated. The dynamic analysis of the standard of living of the population and the factors of social and economic spheres is completed with the tools of econometric modeling and canonical analysis. Birth rate, mortality, employment, unemployment, investments in fixed capital, GRP per capita, the account of resource production, the standard of living of the population and fixed assets according to the data of the Samara Region for the period 20062019, registered in the annual collections of state statistics bodies, are considered as indicators. The predicted values of the standard of living by various methods are calculated, confidence intervals for the studied indicators are constructed. By means of adaptive forecasting using the Brown model, forecast values are calculated and confidence intervals are constructed. Using the tools of canonical analysis, integral indicators are calculated and grouping by time factor is carried out. The spatial grouping of the time factor depending on the standard of living of the population and canonical integral factors is presented. According to the results of the analysis of autoregressive models, it was found that in terms of employment, unemployment, fertility, mortality, investment in fixed assets, GRP per capita, resource production and fixed assets, the impact of the indicator of the previous year is statistically significant, and in terms of the standard of living of the population statistically insignificant. In the second-order autoregression, it was found that all statistical indicators have an impact on the studied indicator, except for indicators of employment and the standard of living of the population. Thus, the forms of models of multiple linear regression, paired linear regression and autoregressive models allow us to assess the numerical impact of all indicators on the studied indicators, as well as their impact on the Standard of living of the population. Visualization of multidimensional data contributes to an in-depth analysis of indicators when grouping, for example, by the time factor.