bluuebunny/crossref_metadata_2025 huggingface dataset:
ПРОБЛЕМЫ ФОРМИРОВАНИЯ И УПРАВЛЕНИЯ ЗАЛОГОВЫМ ПОРТФЕЛЕМ КОММЕРЧЕСКОГО БАНКА
Authors: Maslova M. , Klishevich N.
Published: March 2021

В статье рассмотрены проблемы формирования и управления залоговым портфелем коммерческого банка, выделены основные этапы залоговой работы, проанализированы существующие группы залоговых рисков, причины их возникновения, а также приведены предложения по их минимизации.
ИГРА КАК СРЕДСТВО РАЗВИТИЯ ИМПРОВИЗАЦИОННЫХ СПОСОБНОСТЕЙ ДОШКОЛЬНИКОВ В КОЛЛЕКТИВЕ СПОРТИВНОГО БАЛЬНОГО ТАНЦА
Authors: Shankina S. , Shankin Y. , Zotova A.
Published: March 2021

Рассмотрена особая область дидактики – обучения детей дошкольного возраста средствами развития импровизационных способностей в коллективе спортивного бального танца. Наибольший интерес в этом плане представляет дошкольный возраст, так как именно в этом возрасте закладывается основа личности, происходит ориентация на развитие духовности, самореализации, самовыражения и формируются мироощущения, необходимые в последующей жизни.

Научно обосновано, что в формировании и развитии импровизационных способностей дошкольников в коллективе спортивного бального танца занимает игровая деятельность. Также модифицированы и опробованы на практике разнообразные музыкально-подвижные игры. Интерес в исследовании вызван применением педагогического подхода обучения детей дошкольного возраста средствами развития импровизационных способностей в коллективе спортивного бального танца через игру, которая предусматривает построение процесса обучения и воспитания, по спирали с усовершенствованием на каждом образовательном этапе.
Economic Relations between Pakistan and India: Impressions from the Past and Prospects for Future
Authors: Ashraf Tahir
Published: March 2021

Pakistan and India have failed to establish substantial and sustained economic relations between them. Despite being neighbours, they couldn't enjoy a good volume of bilateral trade in multiple sectors. This study traces the history of bilateral trade between Pakistan and India. While identifying patterns of trade between them, the study attempts to identify barriers in bilateral trade between them like trade regimes, non-tariff barriers and other discriminatory measures. The study also makes an attempt to address the question concerning how the impediments in bilateral trade can be removed to enhance bilateral trade and economic connections. On the basis of interviews of Key Informants (KIs), this study explores the potential of bilateral trade between Pakistan and India and finds possible sectors where bilateral trade can be augmented. Lastly, this study finds possible sectors where Pakistan and India can initiate joint ventures to seek win-win approach in bilateral economic relations.
Tethered spinal cord syndrome in adults in the MRI era: recognition, pathology, and long-term objective outcomes
Authors: Menezes Arnold H. , Seaman Scott C. , III Matthew A. Howard , Hitchon Patrick W. , Takacs Elizabeth B.
Published: March 2021

OBJECTIVE

Tethered cord syndrome (TCS) has been well described in pediatric patients. Many recent reports of TCS in adult patients have grouped retethering patients with newly diagnosed ones without separately analyzing each entity and outcome. The authors reviewed their experience of newly diagnosed adult TCS patients to identify and explore TCS misdiagnosis, recognition, subtype pathology, and individual objective outcomes.

METHODS

This study included 24 adult patients (20 female and 4 male) who fit the criteria of being newly diagnosed and aged 20 years and older (age range 20–77 years). Preexisting dermal sinus was present in 6 patients, hypertrichosis in 5, skin tag/cleft/dimple and fatty subcutaneous masses in 5, scoliosis in 2, and neurological abnormalities in 4 patients. The pathology consisted of TCS with taut filum in 8 patients, conus lipoma with TCS in 7, diastematomyelia in 7, and cervical cord tethering in 2 patients. Of the 24 study patients, nondermatomal low-back or perineal pain occurred in 19 patients, bladder dysfunction in 21, and motor, sensory, and reflex abnormalities in 21 patients. Aggravating factors were repeated stretching, multiple pregnancies, heavy lifting, and repeated bending. Urological evaluation included bladder capacity, emptying, postvoid residuals, detrusor function, pelvic floor electromyography (EMG), bladder sensitivity, and sphincter EMG, which were repeated at 6 months and 1 year postoperatively. The follow-up was 1 to 30 years. Detailed postoperative neurological findings and separate patient outcome evaluations were recorded. Four of the 24 patients did not have an operation.

RESULTS

Resolution of pain occurred in 16 of the 19 patients reporting low-back or perineal pain. Motor and sensory complaints resolved in 17 of 20 patients. Regarding bladder dysfunction, in the 20 patients with available data, bladder function returned to normal in 12 patients, improved in 3 patients, and was unchanged in 5 patients. If the symptom duration was less than 6–8 months, there was recovery of all parameters of pain, bladder dysfunction, and neurological deficit, and recovery from hyperreflexia matched that from neurological deficit. Fifteen patients were employed preoperatively and returned to work, and an additional 3 others who were unable to work preoperatively were able to do so postoperatively.

CONCLUSIONS

Most adults with newly diagnosed TCS have unrecognized neurocutaneous abnormalities and neurological deficits. The triad of nondermatomal sacral or perineal pain, bladder dysfunction, and neurological deficit should not be confused with hip or degenerative lumbosacral disease. Addressing the primary pathology often leads to successful results.
Harmonized outcome measures for use in degenerative lumbar spondylolisthesis patient registries and clinical practice
Authors: Harbaugh Robert E. , Devin Clinton , Leavy Michelle B. , Ghogawala Zoher , Archer Kristin R. , Bydon Mohamad , Goertz Christine , Dinstein Doron , Nerenz David R. , Eakin Guy S. , Lavelle William , Shaffer William O. , Arnold Paul M. , Washabaugh Charles H. , Gliklich Richard E.
Published: March 2021

OBJECTIVE

The development of new treatment approaches for degenerative lumbar spondylolisthesis (DLS) has introduced many questions about comparative effectiveness and long-term outcomes. Patient registries collect robust, longitudinal data that could be combined or aggregated to form a national and potentially international research data infrastructure to address these and other research questions. However, linking data across registries is challenging because registries typically define and capture different outcome measures. Variation in outcome measures occurs in clinical practice and other types of research studies as well, limiting the utility of existing data sources for addressing new research questions. The purpose of this project was to develop a minimum set of patient- and clinician-relevant standardized outcome measures that are feasible for collection in DLS registries and clinical practice.

METHODS

Nineteen DLS registries, observational studies, and quality improvement efforts were invited to participate and submit outcome measures. A stakeholder panel was organized that included representatives from medical specialty societies, health systems, government agencies, payers, industries, health information technology organizations, and patient advocacy groups. The panel categorized the measures using the Agency for Healthcare Research and Quality’s Outcome Measures Framework (OMF), identified a minimum set of outcome measures, and developed standardized definitions through a consensus-based process.

RESULTS

The panel identified and harmonized 57 outcome measures into a minimum set of 10 core outcome measure areas and 6 supplemental outcome measure areas. The measures are organized into the OMF categories of survival, clinical response, events of interest, patient-reported outcomes, and resource utilization.

CONCLUSIONS

This effort identified a minimum set of standardized measures that are relevant to patients and clinicians and appropriate for use in DLS registries, other research efforts, and clinical practice. Collection of these measures across registries and clinical practice is an important step for building research data infrastructure, creating learning healthcare systems, and improving patient management and outcomes in DLS.
Recommendation System for Determining Micro, Small and Medium Enterprise Business Locations
Authors: Setiawan Eko Budi , Setiyadi Angga , Prakoso Wildan Agung
Published: March 2021

From entreprenurship perspective, determining the right business location is, of course, will become a significant factor for the business's growth in the future. Therefore, a system to facilitate prospective and strategic business locations, for achieving the right selling targets is sure needed. Android mobile based system with GPS technology features can make it easier to determine business location. In our application, we try to tackle this problem by using Simple Additive Weighting (SAW). We took several criteria for strategic business location decision making in our SAW implementation, which comprehend of rental rates, accessibility, location crowd, target market, security, and the number of competitors. Then, by evaluating the finished application, we concluded that the development of an application for Micro, Small and Medium Enterprises (MSMEs) recommendations is to facilitate prospective entrepreneurs to determine a strategic business location to build an entrepreneur.
MeDict: Health Dictionary Application Using Damerau-Levenshtein Distance Algorithm
Authors: Clarissa Wiwi , Putri Farica Perdana
Published: March 2021

Typographical error often happens. It can occur due to mechanical errors or missed hands or fingers when typing. Someone's ignorance of how to spell correctly also can cause typographical errors. Dictionary application development has been carried out by various parties so that the searching process in the dictionary becomes more efficient. However, there is no word search optimization when the typographical error happens. Typographical errors in the searching process can result in the information sought cannot be found. The Damerau-Levenshtein Distance algorithm implemented to provide search suggestions when a typographical error occurs. This research aims to design and build a health dictionary application, MeDict, using the Damerau-Levenshtein Distance algorithm. Technology Acceptance Model (TAM) used to evaluate the application. The result is 86.2% stating strongly agree that the application can be useful and 86.9% stating strongly agree that the application can be used easily.
Application of the DEA method to assess the agricultural sector development
Authors: Kernasiuk Yurii
Published: March 2021

The purpose of the article is to study the efficiency of the agricultural sector of the economy in terms of assessing the optimal use of limited resources to ensure the maximum level of food security in the context of achieving sustainable development goals. Research methods. When carrying out the research, a set of general scientific methods and techniques were used: monographic - in the study of domestic and foreign publications on the above-mentioned problems; Data Envelopment Analysis - for a non-parametric assessment of the relative efficiency of the agricultural sector of the economy in terms of the optimal use of limited resources to ensure the maximum level of food security in the context of achieving sustainable development goals; a systematic approach based on the principles of systems analysis and synthesis - to substantiate the relationship between sustainable development and food security, as well as the efficiency of agricultural production; abstract logical - for theoretical generalization of research results; economic analysis - to study the efficiency of agricultural production. Research results. The dynamics of the use of the DEA method has been studied and analyzed. On the basis of a system analysis, the efficiency of the agricultural sector of the economy has been investigated in terms of assessing the optimal use of limited resources to ensure the maximum level of food security in the context of achieving sustainable development goals. It was found that for the period of data analysis from 2015 to 2019, none of the regions approached the border of the effective use of agricultural potential to ensure the maximum level of production of the main types of agricultural products per person. Scientific novelty. Based on a combination of the theory of socioeconomic and sustainable development, further study of theoretical and methodological approaches to assessing effective agricultural production using the DEA method was obtained. Practical significance. The research results will have practical use in the development and substantiation of regional and national strategies for the development of agro-industrial production, as well as in further scientific research. Tabl.: 3. Refs.: 19.
The structure of agro-industrial enterprises management in the context of the information technology development
Authors: Zghurska Oksana , Somkina Tetiana
Published: March 2021

The purpose of the article is to characterize the structure of agro-industrial enterprises management in the context of the information technology development in order to ensure the set strategic goals achievement, the management process effective organization and regulation agro-industrial enterprises development in the long run. Research methods. The methodical basis of the research were general and special methods, namely: systems theory and sys-tems analysis - for a comprehensive of the agro-industrial enterprises management processes; systematization and generalization – to substantiate the conceptual approach to the management structure elements formation of the agro-industrial enterprises in the information technology development; economic analysis, comprehensive analysis – for diagnosing the current state and trends of domestic agro-industrial enterprises innovative development graphical method - to visualize the research results. Research results. There was characterized the structure of agro-industrial enterprises management in the context of the information technology development, the features of which are ensuring the management process mobility and transparency at the enterprise through the formation of strategic information support departments as the optimal method of efficient production and guaranteed profit. Scientific novelty. It was proposed the agro-industrial enterprises management structure in the context of the information technology development, the key feature of which is observance innovation and uniqueness principles of entrepreneur activity in order to determine the enterprise mobility compliance with the information technology development needs and possible prospects for successful outcome achieving. Practical significance. In the research it has been improved the structure of agro-industrial enterprises management in the context of the information technology development, the implementation of which will ensure the agro-industrial enterprises gradual strategic formation in the context of innovative development, and also possibilities of definition and substantiation of optimum innovative decisions’ complex system concerning management of activity taking into account the factors of information society development. Tabl.: 1. Figs.: 6. Refs.: 25.
Strengthening state influence on ensuring sustainable development of entrepreneurship in agriculture
Authors: Ivanchenko Vitalii
Published: March 2021

The purpose of the article is to reveal the principal features of strengthening state influence on ensuring sustainable development of entrepreneurship in agriculture. Research methods. The research uses dialectical methods of scientific knowledge of the process of sustainable development of entrepreneurship in agriculture, primarily analysis and synthesis. Empirical methods of cognition, such as description, measurement and comparison, were also used to characterize the state's influence on the process of sustainable development of entrepreneurship in agriculture. Research results. It is established that the system of strengthening state influence on sustainable development of entrepre-neurship in agriculture should be comprehensive, and cover all agricultural producers, especially representatives of micro and small businesses, be aimed at the main producer and enshrined in law. Among the immediate tasks of the legal framework - to regulate the system of business support in agriculture through the introduction of subsidies, soft loans, preferential tax periods, etc. In addition, the strengthening of state influence should take place through the institutions of encouragement of producers, institutions of information exchange and innovation, institutions of cooperation and associations. Scientific novelty. The main problems arising at the level of sustainable development of entrepreneurship are characterized and the main organizational foundations for strengthening state influence on ensuring sustainable development of entrepreneurship in agriculture are revealed. Practical significance. The main organizational principles of strengthening state influence should be used as a basis for the development of a number of regulations, policies and strategies for agricultural development. Tabl.: 3. Figs.: 2. Refs.: 12.
Development of cooperation in the energy sphere of organizational and economic socialization of entrepreneurial management in the rural area
Authors: Kaletnik Grygorii , Diuk Anna
Published: March 2021

The purpose of the article is by theoretically and methodically, with empirical estimates, to characterize the foundations of the cooperation of development of organizational and economic socialization of entrepreneurial management in the rural energy sector. Research methods. Among the methods used: abstract-logical - to determine the nature and principles of organizational and economic socialization of entrepreneurial management, taking into account the factor of coordination in the agricultural sector; comparative analysis - to determine the organizational structure of business entities in the study area; prognostic - to assess the prospects for the development of energy cooperation in achieving energy well-being in rural development. Research results. Theoretical and methodological principles of organizational and economic socialization of entrepreneurial management in the rural areas are substantiated. The role of energy cooperatives in shaping the energy well-being of rural communities has been established. Scientific novelty. The methodical connection of organizational and economic socialization of entrepreneurship with cooperation as factors of balancing economic and social interests in the system of rural development is determined; priorities for improving relations in the system of social services; organizational conditions for intensifying the use of renewable energy sources in the formation of energy well-being in rural areas. Practical significance. The practical conditions and features of the development of cooperation in the energy sphere of organizational and economic socialization of entrepreneurial management in the rural areas are determined. Theoretical and methodological characteristics of the connection of energy cooperation with the formation of energy-efficient rural development, which practically involves the active participation of rural residents in the organization of self-sufficiency of energy resources through mechanisms of participation in creating and ensuring the functioning of energy cooperatives. It is proved that cooperation is an important structural mechanism for achieving energy efficiency. Tabl.: 1. Refs.: 24.
Scientific and economic support of investment in the agricultural sector and its economic efficiency
Authors: Sakhatskyi Mykola , Zapsha Halyna , Sakhatskyi Pavlo
Published: March 2021

The purpose of the article is to substantiate the theoretical and methodological provisions and develop applied recommendations for scientific and economic support of investment in the agricultural sector and increase its economic efficiency. Research methods. The study uses: dialectical method of scientific knowledge (in relation to socio-economic processes of investment in the agricultural sector and its economic effectiveness in their relationship and interdependence); analysis and synthesis (to study the state and dynamics of investment in the agricultural sector), the system method (to summarize the conclusions and justify the proposals); comparison (to compare the investment processes of agriculture and other sectors of the economy). Research results. The significant weight of capital investments of the agricultural sector in the national investment result has been established. It is determined that the investment attractiveness of agriculture is inferior to most sectors of the economic complex of the country. It is recommended to maintain state support of agriculture and agro-industrial complex to increase the economic efficiency of investment in the agricultural sector; to ensure the development of industrial, economic, social and market infrastructure in rural areas. Scientific novelty. Substantiation was further developed on the need for scientific and economic support for investment in the agricultural sector and increase its economic efficiency, improve the investment attractiveness of agriculture and the implementation of this set of economic, social and institutional measures. Practical significance. It consists in the development of recommendations for investment in the agricultural sector and increase its economic efficiency, which can be used by both public authorities and local governments, as well as businesses in the formation and implementation of investment programs and projects. Tabl.: 2. Refs.: 13.
The 10th IJCAR automated theorem proving system competition – CASC-J10
Authors: Sutcliffe Geoff
Published: March 2021

The CADE ATP System Competition (CASC) is the annual evaluation of fully automatic, classical logic Automated Theorem Proving (ATP) systems. CASC-J10 was the twenty-fifth competition in the CASC series. Twenty-four ATP systems and system variants competed in the various competition divisions. This paper presents an outline of the competition design, and a commentated summary of the results.
A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms
Authors: Romero-Rodriguez Wendoly J. Gpe. , Baltazar R. , Carpio Valadez Juan Martin , Puga Hector , Zamudio Victor , Mosiño J.F. , Sotelo-Figueroa Marco A.
Published: March 2021

Intelligent buildings are at the forefront due to its main objective of providing comfort to users and saving energy through intelligent control systems. Intelligent systems have been reported to offer comfort to a single user or averaging the comfort of multiple users without considering that their needs may be different from those of other users. This work defines a versatile model for a multi-user intelligent system that negotiates with the resources of the environment to offer visual comfort to multiple users with different profiles, activities and priorities using soft-computing algorithms. In addition, this model makes use of external lighting to provide the recommended amount of illumination for each user without having to totally depend on artificial lighting, inducing there will be an energy efficiency but without measuring it.
miR-744/eNOS/NO axis: A novel target to halt triple negative breast cancer progression
Authors: El Kilany Farah Hady , Youness Rana Ahmed , Assal Reem Amr , Gad Mohamed Zakaria
Published: March 2021

BACKGROUND: Nitric oxide (NO) may have a dual role in cancer. At low concentrations, endogenous NO promotes tumor growth and proliferation. However, at very high concentrations, it mediates cancer cell apoptosis and inhibits cancer growth. High levels of NO have been observed in blood of breast cancer (BC) patients, which increases tumor blood flow and promotes angiogenesis. To date, the regulation of NO-synthesizing enzyme, eNOS, by miRNAs has not been adequately investigated in BC. Therefore, the main aim of this study is to unravel the possible regulation of eNOS by miRNAs in BC and to examine their influence on NO production and BC progression. METHODS: Expression profile of eNOS in Egyptian BC patients and MDA-MB-231 cell lines was investigated using qRT-PCR. In-silico analysis was performed to predict a putative upstream regulator of eNOS. miR-744-5p was selected and its expression was quantified in BC tissues using qRT-PCR. MDA-MB-231 cells were cultured and transfected with miR-744-5p using lipofection method. NO levels were determined using Griess Reagent. Cellular viability and colony-forming ability were assessed using MTT and colony-forming assays; respectively. RESULTS: eNOS and miR-744-5p were significantly up-regulated in BC tissues compared to paired normal tissues. In-silico analysis revealed that miR-744-5p putatively binds to eNOS transcript with high binding scores. Transfection of MDA-MB-231 cells with miR-744-5p mimics resulted in a significant up-regulation of eNOS and consequently NO levels. In addition, miR-744-5p transfection led to an increase in cellular viability and colony-forming ability of the MDA-MB-231. CONCLUSION: miR-744-5p acts as an upstream positive regulator of the NO synthesizing enzyme, eNOS which in turn elevates NO levels. Furthermore, miR-744-5p is a novel oncogenic miRNA in BC. Thus, targeting miR-744/eNOS/NO axis may act as a therapeutic tool in TNBC.
Management and outcomes of phyllodes tumours – 10 year experience
Authors: Boland Patrick A. , Ali Beegan Azlena , Stokes Maurice , Kell Malcolm R. , Barry John M. , O’Brien Angela , Walsh Siun M.
Published: March 2021

INTRODUCTION: Phyllodes tumours represent 0.3–1% of breast tumours, typically presenting in women aged 35–55 years. They are classified into benign, borderline and malignant grades and exhibit a spectrum of features. There is significant debate surrounding the optimal management of phyllodes tumour, particularly regarding appropriate margins. METHODS: This is a retrospective review of a prospectively maintained database of patients who underwent surgical management for phyllodes tumours in a single tertiary referral centre from 2007–2017. Patient demographics, tumour characteristics, surgical treatment and follow-up data were analysed. Tumour margins were classified as positive (0 mm), close (≤2 mm) and clear (>2 mm). RESULTS: A total of 57 patients underwent surgical excision of a phyllodes tumour. The Mean age was 37.7 years (range: ages 14–91) with mean follow-up of 38.5 months (range: 0.5–133 months). There were 44 (77%) benign, 4 (7%) borderline and 9 (16%) malignant phyllodes cases. 54 patients had breast conserving surgery (BCS) and 3 underwent mastectomy. 30 (53%) patients underwent re-excision of margins. The final margin status was clear in 32 (56%), close in 13 (23%) and positive in 12 (21%). During follow-up, 4 patients were diagnosed with local recurrence (2 malignant, 1 borderline and 1 benign pathology on recurrence samples). CONCLUSION: There are no clear guidelines for the surgical management and follow-up of phyllodes tumours. This study suggests that patients with malignant phyllodes and positive margins are more likely to develop local recurrence. There is a need for large prospective studies to guide the development of future guidelines.
Synergistic Effect of Serum Homocysteine and Diabetes Mellitus on Brain Alterations
Authors: Byeon Gihwan ,   for the KBASE research group, Byun Min Soo , Yi Dahyun , Lee Jun Ho , Jeon So Yeon , Ko Kang , Jung Gijung , Lee Jun-Young , Kim Yu Kyeong , Lee Yun-Sang , Kang Koung Mi , Sohn Chul-Ho , Lee Dong Young
Published: March 2021

Background: Both elevated blood homocysteine and diabetes mellitus (DM) are related to cognitive impairments or dementia. A previous study also demonstrated that the association between homocysteine and cognitive decline was much stronger in individuals with DM than in those without DM. Objective: This study aimed to examine the interactive effect of blood homocysteine and DM on brain pathological changes including brain atrophy, amyloid-β and tau deposition, and small vessel disease (SVD) related to cognitive impairments. Methods: A total of 430 non-demented older adults underwent comprehensive clinical assessment, measurement of serum homocysteine level, [11C] Pittsburgh Compound B (PiB) PET, [18F] AV-1451 PET, and brain MRI. Results: The interactive effect of homocysteine with the presence of DM on brain atrophy, especially in aging-related brain regions, was significant. Higher homocysteine concentration was associated with more prominent brain atrophy in individuals with DM, but not in those without DM. In contrast, interaction effect of homocysteine and DM was found neither on Alzheimer’s disease (AD) pathologies, including amyloid-β and tau deposition, nor white matter hyperintensity volume as a measure of SVD. Conclusion: The present findings suggest that high blood homocysteine level and DM synergistically aggravate brain damage independently of AD and cerebrovascular disease. With regard to preventing dementia or cognitive decline in older adults, these results support the importance of strictly controlling blood glucose in individuals with hyperhomocysteinemia and lowering blood homocysteine level in those with DM.
A mathematical modelling and experimental study of annular-radial type magnetorheological damper
Authors: Maharani Elliza Tri , Ubaidillah Ubaidillah , Imaduddin Fitrian , Wibowo Wibowo , Utami Dewi , Mazlan Saiful Amri
Published: March 2021

An experimental study was undertaken to evaluate the mathematical modelling of the magnetorheological (MR) damper featuring annular radial gap on its valve. The experiment was conducted using a fatigue dynamic test machine under particular excitation frequency and amplitude to get force-velocity and force-displament characteristics. Meanwhile, the mathematical modelling was done using quasi-steady modelling approach. Simulation using adaptive neuro fuzzy inference (ANFIS) Algorithm (Gaussian and Generalized Bell) were also carried out to portray the damping force-displacement modelling that is used to compare with the experimental results. The experimental characteristics show that amplitudes excitation and current input affect the result damping force value. The comparison of the experimental and mathematical results presented in this paper shows a significant difference in damping force value and that the quasi-steady modelling could not significantly approach the damping force-velocity results. Moreover, the semi-active damper is compared to the passive damper. The results show that a semi-active damper performs better than a passive damper because it only requires a little power. Based on the damping force-displacement modelling, it can be seen that Gaussian has a higher accuracy rather than Generalized Bell. Discussion on the energy dissipation and equivalent damping coefficient were also accomodated in this paper. Having completed in mathematical modelling and simulation, the damper would be ready for further work in-vehicle application that is development of control system.
MPPT-based on Bat algorithm for photovoltaic systems working under partial shading conditions
Authors: Asim Mohammed , Agrawal Piyush , Tariq Mohd , Alamri Basem
Published: March 2021

Under partial shading conditions (PSC), most traditional maximum power point tracking (MPPT) techniques may not adopt GP (global peak). These strategies also often take a considerable amount of time to reach a full power point (MPP). Such obstacles can be eliminated by the use of metaheuristic strategies. This paper shows, in partial shading conditions, the MPPT technique for the photovoltaic system using the Bat Algorithm (BA). Simulations have been performed in the MATLAB®/Simulink setting to verify the efficacy of the proposed method. In MPPT applications, the results of the simulations emphasize the precision of the proposed technique. The algorithm is also simple and efficient, on a low-cost microcontroller, it could be implemented. Hardware in Loop (HIL) validation is performed, with a Typhoon HIL 402 setup.
Big data analysis and prediction method of multidimensional space-time features of energy internet based on fuzzy rough model
Authors: Wang Pin , Wang Peng , Fan En
Published: March 2021

Nowadays, energy has become a hot issue of concern to the whole society. With the unbalanced distribution of resources in the world and more severe climate change, the constraints of resource conditions and environmental status on global energy development are becoming stronger and stronger. The rapid development of the Internet, as well as the proposal of the energy Internet, has a better application in the analysis of energy demand, which can effectively alleviate the contradiction between energy and environment. Aiming at the big data of energy Internet and based on the advantages of fuzzy rough model, this paper studies a method of big data analysis and prediction of multidimensional space-time characteristics of energy Internet based on fuzzy rough model. Firstly, according to the spatio-temporal characteristics of energy Internet data, extract the multidimensional spatio-temporal characteristics of energy internet. Secondly, rough set and fuzzy set are two commonly used mathematical tools, and the combination of the two fuzzy rough models can more fully mine data information. In view of the shortcomings of the commonly used fuzzy rough set reduction algorithm, a reduction algorithm based on conditional entropy is proposed. Finally, taking multidimensional space-time characteristics as input, combining the advantages of fuzzy rough model and neural network, a prediction model is established to analyze and forecast energy demand. The simulation experiments show that the design method is feasible and superior, and can achieve the prediction of energy demand well, so as to make more rational use of energy.
Teaching practice of environmental art design specialty based on fuzzy algorithm
Authors: Xu Zuomei
Published: March 2021

This paper first introduces the relevant content of fuzzy theory system and expounds the relevant knowledge of fuzzy comprehensive evaluation in fuzzy theory. In this paper, an evaluation system for the teaching of environmental art design specialty based on the integration of production, teaching and research is established to provide scientific basis for the exploration and control of the teaching mode, and a fuzzy comprehensive evaluation model is established on the basis of the index system. Through the methods of literature retrieval, real data analysis and expert interview, 14 factors influencing the level of classroom teaching were collected, and questionnaires were distributed to teachers to collect the factor weight data, and these data were sorted out and calculated to obtain the weight indicators at all levels. Through the collection of online teaching evaluation data, the fuzzy evaluation matrix of each level index is calculated, and the matrix is combined with the corresponding weight vector to establish the fuzzy comprehensive evaluation model. Finally, the teaching evaluation results of the integrated mode of production, teaching and research are as follows: 74.8% are excellent, 12.6% are good, 7.1% are medium, and only 5.5% are poor. Through the above results, it can be concluded that the teaching effect of the integration mode of production, teaching and research is excellent.
Teaching practice of architectural decoration engineering technology specialty in higher vocational colleges based on the school-enterprise cooperation education model based on fuzzy algorithm
Authors: Chen Dai , Li Fei
Published: March 2021

Under the current situation, the school enterprise cooperation education mode implemented by higher vocational colleges conforms to the needs of social and economic development, conforms to the law of vocational education, and plays an important role in cultivating a large number of enterprises’ urgently needed high-quality skilled talents. Based on the above background, the purpose of this paper is to explore the teaching practice of Higher Vocational architectural decoration engineering technology specialty based on the school enterprise cooperation education mode from the perspective of fuzzy algorithm. This paper analyzes the background of the development of higher vocational education, studies the reform of personnel training mode, the construction of core curriculum system, the cooperation between school and enterprise under the framework of vocational education group, and the improvement of teachers’ professional ability, and puts forward the views and discussions of teaching reform. This paper also introduces the method of fuzzy algorithm model to evaluate the performance of teachers and tries to put forward an improvement scheme for the traditional performance evaluation system of teachers. Based on the actual evaluation cases, according to the principle of maximum membership, the maximum membership degree of comprehensive evaluation is 0.390, The evaluation level of the corresponding evaluation set is better, which proves the application prospect and methodological value of the model.
Fuzzy soft set theory: Application of classification rules in decision making during medical diagnosis*
Authors: Aziz Fehmi , Tahir Faheem , Midhat Sadia , Naz Shafaq , Qureshi Naveeda Akhtar
Published: March 2021

Present study is an interdisciplinary approach towards rapid and efficient medical diagnosis. The research articulated on data set of cross-sectional study of pregnant females dwelling rural area of Pakistan. The prognosis of gestational wellbeing followed through analyzing heterogenic medical information to develop a holistic picture of ongoing pregnancy. Therefore, for rapid medical diagnosis and precision in decision-making, Fuzzy Soft Set (denoted as FSS) theory selected to develop an algorithm. The algorithm constructed as single point, multipoint and cumulative diagnosis for predicting health status with respect of Hemoglobin, Body Mass Index and Random Glucose Concentration (Respectively denoted as Hb, BMI and RGC) of subjects under study. We successfully proposed novel approach for complex modeling and provision of algorithm for medical diagnosis. The algorithms successfully dealt with analyzing diversely attributed detailed medical tests/reports as input. The output of complex modeling effectively served efficient decision-making in predicting gestational wellbeing.
Online statistical hypothesis test for leak detection in water distribution networks
Authors: Fezai Radhia , Mansouri Majdi , Abodayeh Kamaleldin , Nounou Hazem , Nounou Mohamed , Puig Vicenç , Bouzrara Kais
Published: March 2021

This paper aims at improving the operation of the water distribution networks (WDN) by developing a leak monitoring framework. To do that, an online statistical hypothesis test based on leak detection is proposed. The developed technique, the so-called exponentially weighted online reduced kernel generalized likelihood ratio test (EW-ORKGLRT), is addressed so that the modeling phase is performed using the reduced kernel principal component analysis (KPCA) model, which is capable of dealing with the higher computational cost. Then the computed model is fed to EW-ORKGLRT chart for leak detection purposes. The proposed approach extends the ORKGLRT method to the one that uses exponential weights for the residuals in the moving window. It might be able to further enhance leak detection performance by detecting small and moderate leaks. The developed method’s main advantages are first dealing with the higher required computational time for detecting leaks and then updating the KPCA model according to the dynamic change of the process. The developed method’s performance is evaluated and compared to the conventional techniques using simulated WDN data. The selected performance criteria are the excellent detection rate, false alarm rate, and CPU time.
A hybrid GA-BFO algorithm for the profit-maximizing capacitated vehicle routing problem under uncertain paradigm
Authors: Barma Partha Sarathi , Dutta Joydeep , Mukherjee Anupam , Kar Samarjit
Published: March 2021

This study designs a new variant of the capacitated vehicle routing problem (CVRP) under a fuzzy environment. In CVRP, several vehicles start their journey from a central depot to provide services to different cities and finally return to the depot. This paper introduces an additional time beyond the service time at each city to fulfill the pre-ordered demands. The need for this excess service time is to provide the services to new customers who are not enlisted at the start of the process. It is a market enhancement step. The proposed model’s main objective is to find the maximum time-dependent profit by using the optimum number of vehicles in an appropriate route and spending optimum excess service time in each city. The model considers travel time and travel cost as fuzzy numbers. An expected value model (EVM) is formulated using the credibility approach on fuzzy variables. A hybrid meta-heuristic method combining a genetic algorithm (GA) and bacteria foraging optimization algorithm (BFOA) is designed to solve the proposed model. The proposed model is explained with the help of some numerical examples. Sensitivity analyses based on different independent parameters of the algorithms are also conducted.
Spatio-temporal K-NN prediction of traffic state based on statistical features in neighbouring roads
Authors: Priambodo Bagus , Ahmad Azlina , Kadir Rabiah Abdul
Published: March 2021

Traffic congestion on a road results in a ripple effect to other neighbouring roads. Previous research revealed existence of spatial correlation on neighbouring roads. Similar traffic patterns with regards to day and time can be seen amongst roads in a neighbouring area. Presently, nonlinear models of neural network are applied on historical data to predict traffic congestion. Even though neural network has successfully modelled complex relationships, more time is needed to train the network. A non-parametric approach, the k-nearest neighbour (K-NN) is another method for forecasting traffic condition which can capture the nonlinear characteristics of traffic flow. An earlier study has been done to predict traffic flow using K-NN based on connected roads (both downstream and upstream). However, impact of road congestion is not only to connected roads, but also to roads surrounding it. Surrounding roads that are impacted by road congestion are those having ‘high relationship’ with neighbouring roads. Thus, this study aims to predict traffic state using K-NN by determining high relationship roads within neighbouring roads. We determine the highest relationship neighbouring roads by clustering the surrounding roads by combining grey level co-occurrence matrix (GLCM) with k-means. Our experiments showed that prediction of traffic state using K-NN based on high relationship roads using both GLCM and k-means produced better accuracy than using k-means only.
The Bronze Age of Kazakhstan in the context of Asian cultural relations
Authors:   University of Warsaw, Pedracki М. , Bukesheva G. ,   L.N. Gumilyov Eurasian National University,   L.N. Gumilyov Eurasian National University, Khabdulina М. ,   L.N. Gumilyov Eurasian National University
Published: March 2021

It seems that there are some events in the history of Ancient Near Eastern civilizations directly related to the Bronze Age of Kazakhstan. Those events have taken place in the first half of the second millennium BC and were associated with the invasion of mobile groups chariot warriors who brought with themselves a cult of a horse, a war chariot, advanced weapons, and some new ideologies to the Ancient Near East. Those chariotry men became the military aristocracy in many new founded states in Ancient Near East They propagated a heroized image of a warrior- king ride in a chariot, which was widely used in the palace reliefs of the countries of the Ancient Near East. During the last fifty years the archeologists discovered many Bronze Age monuments in Kazakhstan, with cultural indicators which coincided with the characteristics of the historical tribes that invaded early agricultural civilizations of Near East at the beginning of the 2nd millennium BC and created new dynasties of rulers. The names of those incomers are preserved in the writing sources of the Near Ancient East states. They are mentioned as: Hyksos, Kassites, Amorites, Mariannu. It is known that some part of them were Indo-Aryans by language. For many decades, linguists, historians and archaeologists have been searching for their ancestral home. The purpose of the article is to characterize the main cultural factors of the Bronze Age cultures of Ural-Kazakhstan steppes and to investigate the possibility of the steppe origin of the chariot warriors income to the Near East in the first half of second millennium BC and thus show the contribution of the ancient population of the Kazakhstan steppes to the world historical process.
The Meaning of the Inscriptions on the Mausoleum of Khoja Ahmed Yasawi
Authors:   L.N. Gumilyov Eurasian National University, Mollakanagat A.S.
Published: March 2021

The center of the Turkestan region, Turkestan is the spiritual capital of Kazakhstan. It contains the tomb of Aziret Sultan Khoja Ahmed Yasawi. The famous Emir Timur expressed his passion for the saint by means of a giant mausoleum. As time went on, however, the respect for Yasawi’s faithful spiritual activity was not weakened. Although there were various struggles against the Yassawi teaching, his love for him continued to grow. The built mausoleum is explored in detail both in architecture and in other aspects. It is time-consuming to discover the meaning of Arabic inscriptions on the mausoleum. There are historical dates, verses and hadiths in the writings, various historical dates and names. The verses are given in Arabic, transcript and meaning in the Kazakh language. It is noted that many articles are still being published on the subject of the inscriptions in the Khoja Ahmed Yasawi Mausoleum, and they have a bearing on the spiritual life of the community.
The problem of spirituality in the works of Abai and Shakarim
Authors:   L.N. Gumilyov Eurasian National University, Mamyrbekova A.K.
Published: March 2021

The article examines the state and prospects for the development of spirituality in modern Kazakhstani society in the context of the modernization of public consciousness and the spiritual revival of culture. Spirituality as one of the fundamental principles of the socio-cultural code of the people is rooted in the historical past. To master and understand the spiritual culture of modern society and to take a panoramic view of the future, it is necessary to extract from the cultural heritage the meaning-forming socio-cultural spiritual values. Spirituality acts as a moral concept in the philosophical searches of Abai and Shakarim. As you know, the basis of the moral teachings of Abai and Shakrim is the spirituality of the Kazakh people, which is preserved in traditions and customs in oral folk art and the works of thinkers of the Great Steppe. The article emphasizes that spirituality is a kind of measure for defining true humanity, an indicator of the degree of meaningfulness of a person’s being. The whole life of a person in the creative quests of Abai and Shakarim is the process of the birth of a personality, self-improvement of the inner spiritual world. By joining the spiritual, moral experience of other people as well as thinkers of the past, a person realizes his spiritual self-determination in the socio-cultural space of the modern world. The spiritual potential of the creative searches of Abai and Shakarim is relevant and in demand at the present stage of the modernization processes taking place in Kazakhstan.