bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Time Trends in Alzheimer’s Disease and Related Dementias Using Partitioning Approach
Authors: Akushevich Igor , Yashkin Arseniy P. , Kravchenko Julia , Yashin Anatoliy I.
Published: June 2021

Background: Understanding the dynamics of epidemiologic trends in Alzheimer’s disease (AD) and related dementias (ADRD) and their epidemiologic causes is vital to providing important insights into reducing the burden associated with these conditions. Objective: To model the time trends in age-adjusted AD/ADRD prevalence and incidence-based mortality (IBM), and identify the main causes of the changes in these measures over time in terms of interpretable epidemiologic quantities. Methods: Trend decomposition was applied to a 5%sample of Medicare beneficiaries between 1991 and 2017. Results: Prevalence of AD was increasing between 1992 and 2011 and declining thereafter, while IBM increased over the study period with a significant slowdown in its rate of growth from 2011 onwards. For ADRD, prevalence and IBM increased through 2014 prior to taking a downwards turn. The primary determinant responsible for declines in prevalence and IBM was the deceleration in the increase and eventual decrease in incidence rates though changes in relative survival began to affect the overall trends in prevalence/IBM in a noticeable manner after 2008. Other components showed only minor effects. Conclusion: The prevalence and IBM of ADRD is expected to continue to decrease. The directions of these trends for AD are not clear because AD incidence, the main contributing component, is decreasing but at a decreasing rate suggesting a possible reversal. Furthermore, emerging treatments may contribute through their effects on survival. Improving ascertainment of AD played an important role in trends of AD/ADRD over the 1991-2009/10 period but this effect has exhausted itself by 2017.
Neural Mechanism of Shentai Tea Polyphenols on Cognitive Improvements for Individuals with Subjective Cognitive Decline: A Functional Near-Infrared Spectroscopy Study
Authors: Ni Lianghui , Zhao Mingyan , Hu Zhishan , Yang Kun , Zhao Xing , Niu Haijing , Lin Hua
Published: June 2021

Background: A growing awareness about non-pharmacological intervention for cognitively impaired individuals may represent an alternative therapeutic approach that is actively accepted by patients with very early stage of Alzheimer’s disease. Understanding the neural basis of non-pharmacological intervention is a crucial step toward wide use for patients with cognitive disorders. Objective: To investigate the underlying neural mechanism of shentai tea polyphenols in subjects with subjective cognitive decline (SCD) using functional near-infrared spectroscopy (fNIRS). Methods: A total number of 36 patients with SCD participated in the study and received supplementation with shentai tea polyphenols for three months. All participants underwent a series of tests on neuropsychological function and fNIRS assessment during n-back tasks at baseline and follow-up. Results: After intervention with shentai tea polyphenols in SCD, increased cerebral activity was observed in left dorsolateral prefrontal cortex (DLPFC), left premotor cortex (PMC), left primary somatosensory cortex (PSC), right inferior frontal gyrus (IFG), and premotor cortex (PMC). Moreover, shentai tea polyphenols intervention of three months significantly improved SCD subjects’ cognitive functions (memory, language, and subjective cognitive ability) and depression condition. We further found that the improvement of Hamilton Depression Rating Scale and Auditory Verbal Learning Test-recognition scores had positive correlations with increased brain activity in right IFG and left DLPFC, respectively. Conclusion: This study provides new evidence that the frontal cortex was found to be specifically activated after non-pharmacological intervention of shentai tea polyphenols in SCD, which may be associated with cognitive enhancement and mental wellbeing. These findings provide important implications for the selection of shentai tea polyphenols interventions for SCD.
Identification of Full-Length Wild-Type and Mutant Huntingtin Interacting Proteins by Crosslinking Immunoprecipitation in Mice Brain Cortex
Authors: Sap Karen A. , Guler Arzu Tugce , Bury Aleksandra , Dekkers Dick , Demmers Jeroen A.A. , Reits Eric A.
Published: June 2021

Background:

Huntington’s disease is a neurodegenerative disorder caused by a CAG expansion in the huntingtin gene, resulting in a polyglutamine expansion in the ubiquitously expressed mutant huntingtin protein.

Objective:

Here we set out to identify proteins interacting with the full-length wild-type and mutant huntingtin protein in the mice cortex brain region to understand affected biological processes in Huntington’s disease pathology.

Methods:

Full-length huntingtin with 20 and 140 polyQ repeats were formaldehyde-crosslinked and isolated via their N-terminal Flag-tag from 2-month-old mice brain cortex. Interacting proteins were identified and quantified by label-free liquid chromatography-mass spectrometry (LC-MS/MS).

Results:

We identified 30 interactors specific for wild-type huntingtin, 14 interactors specific for mutant huntingtin and 14 shared interactors that interacted with both wild-type and mutant huntingtin, including known interactors such as F8a1/Hap40. Syt1, Ykt6, and Snap47, involved in vesicle transport and exocytosis, were among the proteins that interacted specifically with wild-type huntingtin. Various other proteins involved in energy metabolism and mitochondria were also found to associate predominantly with wild-type huntingtin, whereas mutant huntingtin interacted with proteins involved in translation including Mapk3, Eif3h and Eef1a2.

Conclusion:

Here we identified both shared and specific interactors of wild-type and mutant huntingtin, which are involved in different biological processes including exocytosis, vesicle transport, translation and metabolism. These findings contribute to the understanding of the roles that wild-type and mutant huntingtin play in a variety of cellular processes both in healthy conditions and Huntington’s disease pathology.
A novel auto-encoder induced chaos based image encryption framework aiding DNA computing sequence
Authors: Alli P. , Dinesh Peter J.
Published: June 2021

The day-to-day progress in communication plays a vital role in transmitting millions and trillions of data through the unsecured network channels. It creates a way where the user’s data becomes the victim of various security threats. Among those users’ data, images act as primary data, and its encryption security methodologies are fascinating. The conventional encryption techniques don’t work well against the various other hidden security threats but require substantial computational time and cost with poor permutation performance. Hence to deal with this, an auto-encoder induced DNA (Deoxyribonucleic acid) sequence via chaotic image encryption framework is designed in our proposed work. It integrates the properties of DNA encoding and the chaotic maps to handle the data losses effectively and resist several attacks such as statistical attacks, chosen-plaintext attacks, etc. Moreover, an auto-encoder is used to control the data noises, thereby ensuring a better encryption performance. Here, the auto-encoder is activated to generate a permuted image with less time complexity and noise. A secret key is then initialized with the aid of SHA-256. Finally, image encryption and decryption are achieved, followed by the successful transmission of data over a digital network. The performance of the proposed work is analyzed with varied metrics to strengthen its efficiency over the prior techniques.
A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph
Authors: Li Li , Xie Yongfang , Chen Xiaofang
Published: June 2021

Root cause diagnosis is of great significance to make efficient decisions in industrial production processes. It is a procedure of fusing knowledge, such as empirical knowledge, process knowledge, and mechanism knowledge. However, it is insufficient and low reliability of cause analysis methods by using crisp values or fuzzy numbers to represent uncertain knowledge. Therefore, a dynamic uncertain causality graph model (DUCG) based on picture fuzzy set (PFS) is proposed to address the problem of uncertain knowledge representation and reasoning. It combines the PFS with DUCG model to express expert doubtful ideas in a complex system. Then, a new PFS operator is introduced to characterize the importance of factors and connections among various information. Moreover, an enhanced knowledge reasoning algorithm is developed based on the PFS operators to resolve causal inference problems. Finally, a numerical example illustrates the effectiveness of the method, and the results show that the proposed model is more reliable and flexible than the existing models.
Ideological and political teaching information management based on artificial intelligence and data security model
Authors: Zhu Yanjie , Zheng Lizhi
Published: June 2021

In order to solve the security problems of the ideological and political teaching system itself, the ideological and political teaching information management technology needs to be further improved. According to actual needs, based on artificial intelligence and data security models, this paper studies and implements a network security information management system based on artificial intelligence and security models. The system can effectively manage the contents of safe work and increase the ability of information sharing and collaborative work. According to the actual needs of most current systems, with data mining, data recognition, and security management as the goals, this paper builds the structure of the functional modules and adopts the function cascade to finally realize the safety information management of this system. In addition, this article designs experiments to verify the performance of the model constructed in this article. The research results show that the model has good performance and meets actual needs.
Research on the framework of traditional culture innovation system based on artificial intelligence
Authors: Wang Yanzhen , Wang Xiaofen
Published: June 2021

In order to improve the effect of traditional cultural innovation, this paper proposes a cultural algorithm with dual knowledge, and improves the effect of the algorithm to obtain a cultural algorithm with dual knowledge. Each individual corresponds to its unique dual knowledge, so that the individual’s evolution can move towards the current optimal solution. This paper constructs a traditional cultural innovation system architecture based on artificial intelligence, analyzes its functional modules, and constructs the system structure from the perspectives of cultural classification and cultural innovation. After constructing the system, this paper designs experiments to verify the system performance. The research results show that the system constructed in this paper performs well in traditional cultural analysis and traditional cultural innovation, and can provide references for related research.
Web remote ideological and political education system constructed by using agent technology
Authors: Li Xiangyong
Published: June 2021

In order to improve the effect of remote ideological and political education, this paper builds a Web ideological and political education system based on Agent technology, and adopts a three-layer abstract system architecture including Web service layer, Agent processing layer and service process layer. Moreover, based on this architecture foundation, this paper proposes an Agent-based Web service integration structure, and illustrates the overall execution process of the system through the execution process of the system integration structure. Then, this paper proposes the organization structure of multi-agent in the Agent processing layer and the organization structure of service process in the service process layer of the system. In addition, this paper uses multi-agent system design to ensure the efficient operation of the entire system, and combines algorithms to implement system resource recommendation modules and practical teaching functions. Finally, this paper designs a control experiment to test the performance of the distance ideological and political education system constructed in this paper. The research results show that the system constructed in this paper has certain practical effects.
Research on English teaching of professional skilled talents training based on artificial intelligence
Authors: Zhu Yanmei
Published: June 2021

This article uses artificial energy to analyze literature reading and cases in English teaching of vocational skills training analyzes the current situation of artificial intelligence technology and colleges and universities and proposes the application of artificial intelligence technology to vocational skills training. To improve the quality of teaching in English teaching, we researched on English teaching in artificial intelligence from a theoretical perspective. Through literature research, we find the matching point between constructivism theory and artificial intelligence-assisted teaching, and through the second language acquisition theory and communicative teaching method to summarize the language acquisition process assisted by artificial intelligence. Based on the constructivist teaching theory, with the help of the 4 C/ID model idea, combined with the characteristics and functions of artificial intelligence, artificial intelligence, and traditional teaching activities are organically combined to design a teaching design model of artificial intelligence assisted English teaching. It designed an integrated management system for English teaching resource information based on artificial intelligence. The hardware design of the system is realized relying on the design of the English teaching resource storage module and system server design. Based on the design of the system operating environment and database design, the software design of the system is realized. The results show that the proposed integrating management system of English teaching resource information is more suitable for sharing English teaching resource information than the conventional integrated management system of English teaching resource information. The combination of artificial intelligence and English teaching will surely bring breakthroughs in the development of high-intelligence teaching. The potential of artificial intelligence in the field of education is unlimited. As with the impact of computer technology on education reform, we have reason to believe that AI-assisted instruction will become an important direction of modern educational technology.
Tailoring neutron beam properties by target-moderator-reflector optimisation
Authors: Zakalek Paul , Li Jingjing , Böhm Sarah , Rücker Ulrich , Voigt Jörg , Mauerhofer Eric , Gutberlet Thomas , Brückel Thomas
Published: June 2021

Compact accelerator-driven neutron sources allow to operate multiple optimised target-moderator-reflector (TMR) units adapted to the requirements of the respective instruments. The compact design of the TMR units allows an efficient coupling of neutron production, neutron moderation and extraction, but requires a novel way of optimisation. The neutronic performance of different TMR units based on polyethylene, heavy water and a mixture of heavy and light water moderators together with Pb and Be reflectors and a borated polyethylene absorber is discussed. Extraction channels for thermal and cold neutrons are investigated regarding the energy and time spectra.
Neuropsychiatric Burden Is a Predictor of Early Freezing and Motor Progression in Drug-Naïve Parkinson’s Disease
Authors: Jeong Seong Ho , Yoo Han Soo , Chung Seok Jong , Jung Jin Ho , Lee Yang Hyun , Baik Kyoungwon , Sohn Young H. , Lee Phil Hyu
Published: June 2021

Background: Neuropsychiatric symptoms (NPS) are the most common non-motor symptom in Parkinson’s disease (PD). Objective: To investigate the association between the burden of NPS and motor prognosis in patients with PD. Methods: We enrolled 329 drug-naïve patients with PD, who was non-demented and followed-up≥2 years after their first visit to the clinic with baseline dopamine transporter (DAT) imaging and neuropsychiatric inventory (NPI) scores. We performed a survival analysis and a linear mixed model analysis to assess longitudinal motor outcomes according to the NPI total score. Results: The Kaplan-Meier analysis showed no difference in the development of levodopa-induced dyskinesia and wearing-off according to the NPI total score. However, higher burden of NPI total score was associated with earlier freezing of gait (FOG) development in the time-dependent Cox regression models after adjusting for age at symptom onset, sex, disease duration, Unified PD Rating Scale motor score, baseline Mini-Mental State Examination score, DAT activity in the posterior putamen and levodopa-equivalent daily dose (LEDD) (Hazard ratio 1.047, p = 0.002). A linear mixed model analysis revealed that patients with a higher NPI total score had a more rapid LEDD increment (NPI×time, p = 0.003). Among 52 patients with PD who eventually developed FOG during the follow-up period, there was a significant correlation between the NPI total score and time with FOG development (γ= –0.472; p = 0.001) after adjusting for confounding factors. Conclusion: The present study demonstrated that the severity of NPS is a predictor of early freezing and motor progression in patients with PD.
Vagus Nerve and Stomach Synucleinopathy in Parkinson’s Disease, Incidental Lewy Body Disease, and Normal Elderly Subjects: Evidence Against the “Body-First” Hypothesis
Authors: Beach Thomas G. , Adler Charles H. , Sue Lucia I. , Shill Holly A. , Driver-Dunckley Erika , Mehta Shyamal H. , Intorcia Anthony J. , Glass Michael J. , Walker Jessica E. , Arce Richard , Nelson Courtney M. , Serrano Geidy E.
Published: June 2021

Background: Braak and others have proposed that Lewy-type α-synucleinopathy in Parkinson’s disease (PD) may arise from an exogenous pathogen that passes across the gastric mucosa and then is retrogradely transported up the vagus nerve to the medulla. Objective: We tested this hypothesis by immunohistochemically staining, with a method specific for p-serine 129 α-synuclein (pSyn), stomach and vagus nerve tissue from an autopsy series of 111 normal elderly subjects, 33 with incidental Lewy body disease (ILBD) and 53 with PD. Methods: Vagus nerve samples were taken adjacent to the carotid artery in the neck. Stomach samples were taken from the gastric body, midway along the greater curvature. Formalin-fixed paraffin-embedded sections were immunohistochemically stained for pSyn, shown to be highly specific and sensitive for α-synuclein pathology. Results: Median disease duration for the PD group was 13 years. In the vagus nerve none of the 111 normal subjects had pSyn in the vagus, while 12/26 ILBD (46%) and 32/36 PD (89%) subjects were pSyn-positive. In the stomach none of the 102 normal subjects had pSyn while 5/30 (17%) ILBD and 42/52 (81%) of PD subjects were pSyn-positive. Conclusion: As there was no pSyn in the vagus nerve or stomach of subjects without brain pSyn, these results support initiation of pSyn in the brain. The presence of pSyn in the vagus nerve and stomach of a subset of ILBD cases indicates that synucleinopathy within the peripheral nervous system may occur, within a subset of individuals, at preclinical stages of Lewy body disease.
STUDY OF GEODESIC SCIENCE IN DIFFERENT PERIODS DEVELOPMENT OF HUMANITY
Authors: Kuzmich Oleksandr
Published: June 2021

The article examines the formation and development of geodetic science in different periods of human activity. Approaches to studying geodetic science in modern.

At the present stage, the learning process moves from a mechanical concept to an informational one. Electronic total stations, various databases, software replace the means of measurement and processing, typical of the twentieth century, and, accordingly, the approach to the study of geodetic sciences.
SIMULATION OF NATURAL QUALITY MANAGEMENT GAS USING ADJUSTMENT FUNCTIONS LINGUISTIC VARIABLES BY PARETO METHOD
Authors: Predun Kostiantyn , Franchuk Yurii , Obodianskaya Olha
Published: June 2021

Natural gas in accordance with the provisions of the Energy Strategy of Ukraine for the period up to 2035, despite the significant development of "green" energy remains the main energy source in the country. Due to the accession to the single European area of regulation of natural gas trade in the country, all calculations for fuel consumption should be performed in units of energy. Thus, the defining issues are the quality of natural gas. One of the features of the gas supply system is a  significant degree of uncertainty in the change of a large number of disturbing factors and constantly changing parameters of its operation. Among others, a mathematical model based on the theory of fuzzy logic was chosen to assess quality. Based on the results of consideration of factors characterizing the physical and chemical properties of natural gas extracted from the field, the quality of its preparation for transportation and technical conditions of operation of the gas distribution system of the settlement, a fuzzy set was obtained to determine fuel quality. One of the methods of analysis in complex and multiconnected systems is the Pareto method, which consists in classifying problems into a few, but essential, and numerous, but insignificant. Modeling the management of natural gas quality using the membership functions of linguistic variables, which are the factors influencing it by the Pareto method, allows to vary the most significant factors that take into account the most influential of them. The resulting Pareto bar chart clearly illustrates the number of factors influencing the quality of natural gas. The diagram shows that the most influential factors on the quality of natural gas and on reducing the operational reliability of gas transmission and gas distribution systems are, respectively, higher heat of combustion under standard conditions and fuel moisture content. In this regard, in the organizational and technological support of natural gas consumption at a high level, they should be considered in the first place.
TERRITORIAL AND SPATIAL ORGANIZATION OF URBAN PLANNING SYSTEMS: INFLUENCE FACTORS
Authors: Viatkin Konstantyn
Published: June 2021

The article is devoted to the definition of certain aspects of the territorial-spatial development of urban planning systems. The article identifies the basic centers of attraction by analyzing the main economic indicators of Ukraine's development. Based on the analysis of migration links, centers of attraction of the population were identified, which have high indicators of the economic block of functions of the urban planning system. Analyzing the systems of population settlement and spatial-territorial planning, it is advisable to note that meeting the needs of the population and the processes of socio-economic development of territories is determined by determining the zones of influence of individual centers that perform a number of economic, social, environmental and spatial functions. The boundaries of the influence of such centers are determined by a set of socio-economic ties and depend on the scale of the center of influence of its economic development and the degree of urbanization. The largest center of attraction for the population in Ukraine is the capital Kiev. The next cities in terms of attractiveness that significantly affect the migration processes of the population are the cities of Kharkov, Lviv, Odessa and Dnipro. These cities have similarly high indicators of the economic block of functions of the urban planning system. Analysis of economic indicators of the development of territories showed the dependence of the development of the level of wages. The higher the indicators of economic development of territories, the more attractive it is for the population and acts as a center of gravity. However, it should be noted that for further analysis of territorial development, it is advisable to introduce indicators of the efficiency of economic systems, providing workers with social guarantees and analysis of the level of wages, are important indicators of the impact on territorial attractiveness.
THE DESIGN THINKING METHODOLOGY IN ARCHITECTURAL EDUCATION AS AN INNOVATIVE TOOL OF CREATIVITY FORMATION OF FUTURE ARCHITECTS
Authors: Holubchak Kateryna
Published: June 2021

The article deals with the possibilities of introduction of innovative methods of design thinking in architectural education. A review of domestic and foreign research on the subject of higher architectural education and structuring of its various aspects - the current state, challenges and opportunities, innovative pedagogical models and trends are made. It is determined that the leading trends in architectural education at the present stage are based on a wide range of technological achievements and creativity, which has led to a wide range of new pedagogical approaches to stimulate creativity and leadership in order to better shape future professionals in the field of architecture.

Describing the evolution and key elements of the concept of design thinking and its tools, the study makes a scientific contribution to the study of the latest trends in architectural education in Ukraine and provides practical recommendations for implementing design thinking in domestic educational practice taking into account the local context and problems of architectural education in Ukraine. Possibilities of using the design thinking techniques during the whole life cycle of architectural design are demonstrated - from problem statement and empathy to potential users to project idea development, prototype creation and testing. In addition, the article highlights the current state in the field of architectural education in Ukraine, its challenges and prospects, the latest educational strategies. The urgency of the study is due to the problem of forming the right accents in the training of future architects in order to develop not only professional qualities but also creative potential, in terms of national education modernization and integration of Ukraine into the European educational space.
DEVELOPMENT OF CONCENTRIC INFORMATION TECHNOLOGY OF DIGITAL TRANSFORMATION OF HIGHER EDUCATION INSTITUTIONS
Authors: Teslia Iurii , Zaspa Hryhoriy
Published: June 2021

Modern world trends in education are aimed at the digital transformation of educational institutions. Traditional approaches to higher education institutions informatization through their automation no longer meet the requirements of the time. Therefore, new approaches are needed, based on the digitalization of educational processes aimed at creating digital universities. For this purpose, the current state of information systems in higher education institutions use and the issue of higher education institutions digital transformation were studied. The problem of automation tools separation was revealed, which does not allow to effectively implement digitalization projects, does not allow to create a single system of building digital universities. It is proposed to solve the digital transformation of higher education institutions problem based on the use of concentric information technology developed in this study, which integrates all information bases, methods and means of solving functional problems into a single digital space to maximize information needs of higher education institutions. This technology is based on the following developed in the study: 1) concentric model of information technology of digital transformation of higher education institutions, which allows to integrate methods and tools of information management to create a single higher education institutions digital space; 2 functionally independent method of information management of higher education institutions, which allows to create universal tools of informatization, which are independent of the composition and specifics of the construction of the created tools of solving functional problems; 3) interlayer information interaction methods, providing reflection in the processes of each of the layers of changes in the information environment of neighboring layers. The results of the study were used in the construction of information and analytical system of the university educational activities support, which was developed and implemented at Cherkasy State Technological University.
ECONOMIC AND ANALYTICAL INNOVATIONS IN ENSURING THE INTERACTION OF CONSTRUCTION STAKEHOLDERS IN PUBLIC-PRIVATE PARTNERSHIP PROJECTS
Authors: Grigorenko Vasily , Rуzhаkov Dmуtrо , Malykhina Oksana , Кushnir Ilya , Fedorova Yana , Sotnikov Dmуtrо
Published: June 2021

This article presents the peculiarities of the development of public-private partnership (PPP) projects, types and forms of PPP models used, as well as identifies current problems and obstacles to the implementation of PPP and provides recommendations for overcoming them in the construction industry of Ukraine. The main features and areas of application of PPP have been previously identified. It is emphasized that an important prerequisite for motivating the private sector to join a public-private partnership is compliance with clear legal formal rules in the institutional system. Attention is paid to the improvement of the process of formation and implementation of investment strategy by enterprises of the construction industry, substantiation of theoretical and instrumental procedures of the process of development and adoption of investment decisions at the regional level. The structural-functional method of scientific analysis used in the study allowed to determine that the PPP management system is a complex of structural elements of the national economy, united by various, specific in content, connections and relationships due to mutual integration of interests, responsibilities and risks. This system contains institutions, processes, economic levers of purposeful influence and incentives that create the conditions for a motivated effective partnership between the state and private business structures. The issues of investment management on the development and implementation of organizational and economic mechanism for the implementation of investment and construction projects on the basis of PPP are considered. This requires urgent implementation of mechanisms of organizational and economic changes for the forced development of domestic construction companies, taking into account international achievements in this field of activity and national economic interests; ensuring close intersectoral interaction of construction stakeholders and structural transformations in accordance with the requirements of PPP projects.
THE MODERN PARADIGM OF PUBLIC INVESTMENT AS AN INSTRUMENT OF STATE REGULATION OF SUSTAINABLE ECONOMIC DEVELOPMENT
Authors: Gryshkevych Oksana , Rуzhakova Galуna
Published: June 2021

The conceptual paradigm of the work is that the modernization of the regulatory policy of the state strengthens the relationship and interdependence between the structure of the economy and the institutional basis, the quality of institutions. In these conditions, public investment management becomes a necessary condition and general goal of socio-economic development. That is, structural changes supported by public investment management institutions ensure economic growth, and their implementation is regulated by the criteria for ensuring the economic security of the state. It is proved that the management of public investments is a multifaceted category that reflects socio-economic phenomena and is considered as the motive and goal of the macrosystem functioning; the level of autonomy (independence) of the state of the economy, at which the achievement of the aggregate vector of interests of the structural elements of the macrosystem is ensured; a qualitative characteristic of the economic system, which makes it possible to assess its viability in the face of transformational changes. The study of the structure of the economy, the direction of its progressive changes are still based on sectoral technological and economic aspects without taking into account the strategic prospects and security of the development of the socio-economic macrosystem of the state. The imperfection of the institutional support of structural adjustment makes it impossible to strategically program structural changes as an integral component of structural policy. In general, in the context of radical structural and institutional transformations, the role of the public investment management system is significantly increasing. The applied set of threshold values of public investment management indicators as imperatives for the functioning of the economy at the meso level of the hierarchy should be complemented by a methodology for their determination and substantiation of effective measures and methods for their provision. The study of the problems of public investment management is associated with the development of theoretical foundations and the definition of economic and institutional aspects of public investment management in the context of updating the levers of state regulatory policy, in particular, in the context of participation in the processes of global economic integration.
FEATURES OF THE ORGANIZATION OF THERMOMODERNIZATION PROJECTS
Authors: Maksymov Artem , Halinskyi Oleksandr
Published: June 2021

Organizational bases for the preparation and implementation of thermal modernization projects are defined by separate legislative acts and regulations, but they do not take into account certain features. Despite the sufficient number of publications on the solution of certain issues related to the thermal modernization of existing and new facilities, further research is needed in the organization and management of the processes of thermal modernization of existing facilities. As we have defined in previous publications, thermal modernization can be carried out during various types of construction - reconstruction, overhaul, technical re-equipment, but in contrast to these types of construction can be carried out without relocation of residents or suspension of operation of other facilities. time of construction works or its parts (provided they are autonomous). One of the first stages of thermal modernization is the inspection of the technical condition of the object, which determines the list of measures necessary to restore its normal serviceability. Significant costs for these measures may lead to the rejection of the idea of thermal modernization or the involvement of other than cost savings for energy consumption of the facility. The current regulations provide for the inspection of the building before or during the energy audit, but does not explicitly state that the development of thermal modernization measures should take into account the measures developed at the stage of technical inspection, as they have a constructive and technological impact. combined into a single integrated project. The article presents the procedure for organizing the preparation of the thermal modernization project is presented. The organization of preparation of projects to improve energy efficiency should primarily ensure the reliability of calculations of environmental and economic efficiency of the project, depending on the reliability of technical data and calculations collected and identified at different stages of its preparation depending on systematization and their consistent collection.
ARCHITECTURE OF A NEURAL NETWORK ANALYZER OF BIOMETRIC PARAMETERS OF LISTENERS OF THE DISTANCE LEARNING SYSTEM
Authors: Tereikovska Liudmyla
Published: June 2021

The urgency of the task of developing tools for neural network analysis of biometric parameters for recognizing the personality and emotions of students of the distance learning system has been substantiated. The necessity of formalizing the architectural solutions used in the creation of software for neural network analysis of biometric parameters is shown. As a result of the research carried out in terms of the UML modeling language, the architecture of the neural network analyzer of biometric parameters has been developed. Diagrams of options for using the neural network analyzer have been developed both for recognizing the personality of a student when entering the system, and for recognizing the personality and emotions of a student in the process of his interaction with the distance learning system. Also, based on the developed use case diagrams, a structural diagram of the analyzer is built. The necessity of including subsystems for determining the functional parameters of the analyzer, registration of biometric parameters, neural network analysis of registered biometric parameters, personality recognition and emotion recognition is substantiated. An original feature of the proposed architectural solutions is the introduction into the neural network analysis subsystem of an integrated analysis module designed to summarize the results of neural network analysis separately for each of the biometric parameters. A rule for making an integrated decision has been developed, taking into account the results of a neural network analysis of each of the registered biometric parameters and the corresponding weight coefficients determined by expert evaluation. The introduction of the integrated analysis module makes it possible to increase the accuracy of recognition of emotions and personality of a student, since the final classification is realized through a generalized assessment of several guaranteed significant biometric parameters. In addition, the use of this module makes it possible to increase the reliability of the neural network analyzer in case of difficulties associated with the registration of a particular biometric parameter. It has been established that the decision-making rule can be improved by using one or more neural networks in the integrated analysis module, designed to generalize the results of the neural network analysis of all registered biometric parameters. It is proposed to correlate the directions of further research with the development of appropriate neural network solutions.
Clinical Correlations Delirium and other Comorbid in Elderly with COVID-19 Infection
Authors: Putra Khoirun Mukhsinin , Nur Riviati  , Djunaidi AR
Published: June 2021

Background. Delirium is a common condition in geriatric patients. One of the trigger factors for this condition is an infection, such as COVID-19 infection. Elderly with COVID-19 show atypical symptoms such as delirium. Elderly patients with COVID-19 who present with delirium, either as a primary symptom or showing symptoms or signs, have a poor prognosis. This study were aimed to presents covid-19 elderly patient with comorbid delirium.

Case presentation. A 77-year-old woman with disorientation for one day came to Emergency Department with her family. She had no history of headaches, blurred vision, or seizures. However, she had a fever, did not want to eat for three days, and had a purulent decubitus ulcer. The patient was diagnosed with acute delirium syndrome, confirmed COVID-19 with sepsis, malnutrition, hypercoagulation, grade III decubitus ulcer, suspected dementia, immobilization, total dependence. The patient admitted to the isolation ward. The patient had meropenem 500 mg every 12 hours, anticoagulants and favipiravir according to the dose and parenteral nutrition.

Conclusion. Patients with COVID-19 who present with delirium, either as a primary symptom or presenting symptoms or signs, have a worse outcome. Delirium relationship with comorbid factors can increase mortality and morbidity in the elderly with COVID-19.
Web Compiler
Authors: Patel Khusboo , Hemangi Darji , Nikita Tadvi , Vidhi Thakor , Modi Mr.Nimit , Degadwala Dr. Sheshang
Published: June 2021

Most of the websites are made in HTML. There is a website which facilitate user to upload a page and find error in it. Thus, website will be able to find many missing tags or incorrect tags also. It will show the lines of errors. It displays the semicolon error, curly brackets error, properties error. Most of the websites are made in HTML. The HTML page can be made in many text editor. There are many text editor and frameworks, which gives the facilities to build HTML page. So, there is a website which facilitate user to upload a page and find error in it. It will shows the lines of errors. C programs are compile only in Turbo C, but in web compiler if program written n text editor like notepad than compiler can also compile the program and finds the error and display the in which line error is occur.
Multi State Farmer Dealer Assistant
Authors: Tandel Niki , Pratha Machhi , Krishna Patel , Pinal Patil , Mahajan Mrs. Arpana , Degadwala Dr. Sheshang
Published: June 2021

A Web venture with Android App to enable agriculturists to guarantee more noteworthy benefit through direct rancher to provider and agriculturist to agriculturist correspondence over various states. This administration supports business correspondence and acquires straightforwardness the framework. This creative site takes into account great agriculturist, retailer and provider correspondence. It enables ranchers to login and refresh the items, cost, and stock with convey to particular merchants. At the point when merchants give arrange rancher get message notice. Additionally, giving Tracking office to the merchants. Furthermore, at whatever point merchant/Farmer distributes a notice or offer, the individual ranchers get advised by means of SMS message. The ranchers may likewise present their grievances and grumblings to particular merchants or experts utilizing their agriculturist login on a different protestations page and specialists will gain admittance to that page frequently utilizing their login id and passwords. Watchwords: Multi State, Farmer, Supplier, Admin, Sell-Buy, Booking.
A Review on Two Water Jugs Problem via an Algorithmic Approach
Authors: Solanki Snehal , Parmar Prem , Shukla Parth , Patel Dhruvin , Modi Mr.Nimit , Degadwala Dr.Sheshang
Published: June 2021

The water jugs problem is a well-known problem in recreational mathematics, problem-solving, artificial intelligence, computer programming and cognitive psychology. The methods of solutions are usually based on heuristics or search methods such as breadth first search (BFS) or depth first search (DFS), which could be time and memory consuming sometimes. The existing methods of solutions are often non-algorithmic in nature. In this paper, we present an arithmetic approach to solve this problem, which is simple and suitable for manual calculation or programming language implementation. Analysis of the solution steps involved and some illustrative examples are provided.
A Study on Machine Learning Technique
Authors: Mayank Patel , Ajay Jaiswal , Harshil Patel , Ronak Patel , Pritesh Mr. Patel , Degadwala Dr. Sheshang
Published: June 2021

Gadget mastering is an synthetic intelligence generation that gives structures with the ability to examine without being explicitly programmed. System mastering attention on the development of pc programmed that could get admission to records and use it study for themselves. System studying is widely utilized in various applications which includes records mining, pc vision and bioinformatics as a result of the explosion of available information. Device mastering specializes in the improvement of computer programmed.
Multi-focus Image Fusion Using Hybrid Transformation
Authors: Degadwala Dr. Sheshang D. , Mahajan Arpana , Vyas Dhairya , Upadhyay Shivam , Dave Harsh S
Published: June 2021

The technique of blending two images or more than two images which produces outcome as the composite fused image. The obtained fused image is the upgraded version of original images because it has all the salient information. The present applications makes majority usage of this fused image to speed up their processing tasks in their respective fields. Recent real-time applications which require image fusion are remote sensing applications, medical applications, surveillance application, photography applications etc. the broad categorization of image fusion techniques are Non-transform domain or spatial domain and Transform domain or frequency domain. This paper initiates with the introduction of image fusion. In the second section it explains the analysis of multi-focus techniques. The third section explains hybrid image fusion strategy. Further sections elaborates the taxonomy of image fusion techniques and their comparative analysis with results.
Supervise Method for Acute Lymphoblastic Leukemia Segmentation and Classification
Authors: Mahajan Arpana , Degadwala Dr. Sheshang D. , Vyas Dhairya , Upadhyay Rocky , Dave Harsh S
Published: June 2021

Leukemias are classified as either myelogenous (also called myeloid) or lymphocytic depending on which types of white blood cells are affected. Acute leukemias occur when the bone marrow produces immature white cells, and chronic leukemias occur when the marrow produces mature cells. Acute lymphoblastic leukemia (ALL) is a type of cancer in which the bone marrow makes too many immature lymphocytes (a type of white blood cell). Leukemia may affect red blood cells, white blood cells, and platelets. ALL is most common in childhood, with a peak incidence at 2–5 years of age and another peak in old age. Here is an automatic segmentation technique that uses two-color systems and the clustering algorithm K-means. The proposed approach is evaluated on three public image databases with different characteristics and performance measures: accuracy, speci?city, sensitivity and Kappa index. Segmentation and classification of acute lymphoblastic leukemia can be done by using Supervise Learning Approach. In that hybrid model with color and cluster system will be used.
An Efficient ROI based Medical Image Watermarking on Non-Symmetric Rotation Attacks
Authors: Degadwala Sheshang , Chaudhary Sanjay , Gaur Sanjay
Published: June 2021

The fast improvement of the advanced media innovation and the web permit individuals will copy, transmit, appropriate Furthermore store data more undoubtedly. Restorative pictures traded in open networks oblige a technique with give acceptable secrecy for the image, genuineness of the picture proprietorship Also hotspot from claiming origin, Also picture integument confirmation. This Look into keeps tabs for blind watermarking from claiming Medical images, both ash scale and in addition color, preserving its ROI. It also successfully manages tolerant wellbeing record Eventually Tom's perusing safely embedding it inside those picture in front of transmission. The paper is introduce new Embedding Process with Discrete Wavelet Transform and Singular Value Decomposition then relate with others methods performance with different Rotational attacks to demonstrate with parameters. Also Attack detection and recovery of ROI using pseudo Zernike moment and affine transform made this very functional method in the approaching color picture watermarking areas.
Smart Keyboard Using Internet of Things
Authors: Patel Rahi , Bhrambhatt Bhavik , Bendbar Shivam , Degadwala Dr. Sheshang D.
Published: June 2021

A keyboard is a main input device for any communication or any computer device mainly the portable one. Our objective was to interact between a computer and human-being, a system of keyboard is represented by means of camera and Image Processing. Our physical keyboard consists of a camera, Paper, Raspberry-pi-3b+ and a stand (approx. 35cm from the surface). The camera is used to capture several frames of finger tip to determine the button pressed. Every Keystroke can be determined by the camera using Imager thresholding and contours. Our Experiment shows that it is a reliable sense of technology with high accuracy.
Leucemia mielóide crônica
Authors: Instituto Nacional de Câncer
Published: June 2021

Conduta diagnóstico-terapêutica do INCA para Leucemia mielóide crônica.
A História da Patologia no INCA
Authors: Zardo Lucilia , Fialho Francisco , Guimarães Darcy da Silva
Published: June 2021

De forma cronológica, o artigo retrata a História da Patologia no INCA.