bluuebunny/crossref_metadata_2025 huggingface dataset:
Особливості формування та реалізації державної регуляторної політики у сфері оподаткування під час воєнного стану
Authors: Дурман Микола , Дурман Олена
Published: September 2022

В статті розглядаються питання формування та реалізації державної регуляторної політики у сфері оподаткування в умовах воєнної агресії Російської Федерації проти України та запровадження на нашій території воєнного стану. Вказано, що державна регуляторна політика здійснює цей вплив через різні механізми державного правління – організаційні, нормативно-правові, інформаційні тощо. Меншими одиницями таких впливів виступають інструменти та форми державного регулювання. 

Кожен з цих інструментів має свій регуляторний вплив на певну сферу регулювання або на декілька сфер одночасно.З початком повномасштабного вторгнення Росії в Україну під удар попала велика кількість підприємств різного розміру – від великих бюджетоутворюючих для міст до маленьких, на яких працювало 5-10 робітників, включаючи адміністративний персонал. Вони були змушені зупинити виробництво з різних причин – від повного руйнування виробничих та складських приміщень і обладнання (внаслідок бомбардувань, ракетних обстрілів та пожеж, спричинених цими діями), руйнування допоміжної інфраструктури (транспортне сполучення, водопровід, водовідведення, електроенергія тощо) до відтоку кваліфікованих кадрів в інші регіони України або за кордон (що пов’язане з призовом чоловіків до Збройних сил України та інших воєнізованих формувань чи з евакуацією жінок з дітьми в безпечні місця, подалі від бойових дій та руйнувань).Для зменшення майбутніх втрат від руйнувань інфраструктури чи припинення або скорочення підприємницької діяльності необхідно розробляти, приймати та реалізовувати нестандартні рішення, що повинні сприяти створенню максимально сприятливих умов для ведення бізнесу. Це пропонується робити шляхом формування нових підходів до державної регуляторної політики у сфері оподаткування (державної податкової політики) та їх реалізації на державному рівні та рівні органів місцевого самоврядування (територіальних громад).Розглянуто нормативно-правові документи, якими зменшується податкове навантаження на великий бізнес та підприємців, а також спрощуються процеси адміністрування податків та ведення податкової звітності. Такі регуляторні дії дозволили дещо покращити ведення бізнесу в Україні в особливих умовах воєнного стану, проте ці ж дії призвели до суттєвого дисбалансу в Державному та місцевих бюджетах. Тому слід більш сфері оподаткування через запровадження пільг по сплаті податків, що зараховуються до державного та місцевого бюджетів. Особливо неприпустимим є ситуація, коли держава зменшує дохідну частину місцевих бюджетів не передбачаючи компенсаторних механізмів.У висновку зазначається, що режим функціонування економіки в умовах воєнного стану вимагає нестандартних рішень, які повинні сприяти створенню максимально сприятливих умов для ведення бізнесу з одночасним збереженням надходжень до бюджетів різних рівнів. При цьому накопичений досвід та реальне впровадження нових регуляторних механізмів стане «драйвером» економічного відновлення у як під час воєнного стану, так і в повоєнний період.
Investigation of induction motor operation from the soft starter in reverse mode with reduced speed
Authors: Toropov A. , Golodnyi I. , Toropova L.
Published: September 2022

Ease of maintenance and high reliability of asynchronous electric drives actively popularize their using in manufacturing. At the same time, such drive has its drawbacks: high currents and significant torque during direct starting from contactor control systems. This problem can be solved using the so-called "service functions" of soft starters. This work at developing these functions and issuing recommendations for their use is aimed.

The purpose of the investigation is to determine the possibility of using the "service functions" of soft starters for emergency and service modes of agricultural plants.

The investigation of the operation of an induction motor with a soft starter using the provisions of the theory of electrical circuits of sinusoidal and non-sinusoidal currents and using computer analysis was carried out.

Investigation on the mechanism of straw shredders using a soft starter was carried out. Performance increasing of such a mechanism is possible using the "reverse" function with a reduced speed, implemented, for example, in SSW900 soft starters. To configure the soft starter, the WEG programming Suite software was used, which, in addition to the function of writing parameters, also contains the function of reading parameters and visualizing them as trends.

As a result of the investigation, it was found that the intelligent control of thyristors in soft starters allows to expand their functionality, namely, to reverse the induction motor without using an additional contactor. The implementation of the reverse speed function with appropriate restrictions in soft starters allows reducing the cost of the used electrical equipment for straw shredders. Too much JOG relative voltage to the soft starter can cause large fluctuations in motor speed and must be carefully adjusted.
THE INFLUENCE OF TEMPERATURE ON THE SPECTRAL CHARACTERISTICS OF LEDS WITH A LUMINESCENT COATING BASED ON PHOSPHATE-TUNGSTANE GLASS-CERAMICS
Authors: Chornii V. , Boyko V. , Nedilko S. , Slobodyanik M. , Terebilenko K. , Scherbatskyi V. , Zozulya O.
Published: September 2022

Nowadays, the light-emitting diode (LED) lamps are the most energy-efficient light-emitting devices, the emission spectrum of which can be adjusted in accordance with a specific practical task. One of the important characteristics is the stability of the emission intensity during the operation of such devices. An urgent task is the development of luminescent coatings for white LEDs based on glasses and glass ceramics, because, in comparison with polymers, they are more resistant to high temperatures and powerful light fluxes.

The aim of the study was to determine the effect of temperature on the intensity and spectral composition of radiation of the combined system "UV LED + Fluorescent Glass Ceramics" (SD + LCS) and to compare the obtained data with temperature dependences of such characteristics for commercial white LEDs.

In this work, the change in the intensity and spectrum of the light emission of the model combined system "UV LED + glass ceramics" when heated up to 105 ° C was studied. The results obtained were analyzed together with the dependences of the luminescence intensity on temperature for a commercial white LED. The emission spectra of the combined system contain both narrow luminescence peaks associated with transitions in europium ions and broad bands elated with the emission from the LED chip and the luminescence of the glass host. When heated, the position of the emission band of the chip is slightly shifted to the long-wavelength side, both for commercial LEDs and for model combined systems. It was also found that the temperature stability of model "white" light sources based on phosphate-tungstate glass ceramics is higher than the corresponding characteristic of commercial white LEDs in the temperature range of 50 - 105 ° C.
DISTRIBUTED INFORMATION SYSTEM FOR WATER SUPPLY USING PREDICTION METHODS TO PREVENT ACCIDENTS
Authors: Kiktev N. , Busiurova A.
Published: September 2022

The purpose of the study is the development and implementation of an information alarm system for the water supply system.

The article describes the developed information system for efficient water supply based on the parameters obtained from devices located on pipes. A conceptual, logical and physical model based on the description of the subject area has been developed. A water supply network database was developed using the MySQL Workbench tool. An interface has been created for monitoring the state of pipelines using the Angular framework and the programming languages TypeScript and JavaScript. The information system allows the user to view information from humidity and flow sensors. The application predicts the humidity around the pipes and the water flow for the subsequent period and receives the appropriate message if an accident is possible. The program provides the user with a convenient graphical interface for tracking possible accidents in the water supply network with reference to the coordinates of the pipes, so that the user can make a timely decision to carry out repairs and prevent such a situation.
METHODOLOGY OF DEVELOPMENT OF INTELLECTUAL ENERGY EFFICIENT SYSTEM OF CONTROL OF TEMPERATURE-HUMIDITY REGIME IN INDUSTRIAL HEAT
Authors: YAKYMENKO I. YU. , LYSENKO V. P. , WITASZEK K.
Published: September 2022

Methods of improving the quality of regulation of technological parameters by combining various intelligent control algorithms in one automation system, which helps to reduce energy costs by 10-13%, are analyzed. It has been established that heating and ventilation systems have the highest energy consumption for indoor buildings (on average, more than 4,000 m3 of natural gas and almost 1,000 kWh of electricity are consumed per day for heating and ventilation in an industrial greenhouse. Correlation analysis of links between external disturbances and energy costs that ensure compliance with the technology of plant production, confirmed the hypothesis of conditions of uncertainty in the operation of industrial greenhouses are formed by random disturbances, incomplete information about the biological component, with linear correlation coefficients not exceeding r<0.35. both for forecasting energy costs and for the formation of energy efficient management strategies. Based on the use of fuzzy logic methods and genetic algorithm, models for finding and using optimal parameters of PI controller settings adapted to changes in the operating conditions of the automation system have been developed and studied. This provides better regulation in conditions of uncertainty, the time of regulation, over-regulation is reduced by two to three times. To create an energy-efficient microclimate management system in industrial greenhouses, operating in conditions of uncertainty, a neural network model for predicting the energy consumption of natural gas and electricity has been developed. The input parameters of the neural network forecasting model are: the value of external and internal air temperatures of the greenhouse, the value of relative humidity, the solar radiation absorbed by the greenhouse and the level of carbon dioxide in the greenhouse. The outputs of the forecasting model are the values of natural gas and electricity costs. The structural and functional scheme of the temperature and humidity control automation system in industrial greenhouses has been improved by combining intelligent algorithms for stabilizing the operation of technological equipment at the lower management level and optimizing energy costs by forecasting them at the upper level. The introduction of such a system saves up to 13% on natural gas for heating and up to 10% on electricity.
OXIDATION PROCESSES OF HIGH-ALLOYED ALLOYS OF WORKING LAYER AND THE INTERPHASE SURFACES OF BIMETALLIC PAIRS
Authors: AFTANDILIANTS YE. G. , VIESTURS D.
Published: September 2022

Methods of improving the quality of regulation of technological parameters by combining various intelligent control algorithms in one automation system, which helps to reduce energy costs by 10-13%, are analyzed. It has been established that heating and ventilation systems have the highest energy consumption for indoor buildings (on average, more than 4,000 m3 of natural gas and almost 1,000 kWh of electricity are consumed per day for heating and ventilation in an industrial greenhouse. Correlation analysis of links between external disturbances and energy costs that ensure compliance with the technology of plant production, confirmed the hypothesis of conditions of uncertainty in the operation of industrial greenhouses are formed by random disturbances, incomplete information about the biological component, with linear correlation coefficients not exceeding r<0.35. both for forecasting energy costs and for the formation of energy efficient management strategies. Based on the use of fuzzy logic methods and genetic algorithm, models for finding and using optimal parameters of PI controller settings adapted to changes in the operating conditions of the automation system have been developed and studied. This provides better regulation in conditions of uncertainty, the time of regulation, over-regulation is reduced by two to three times. To create an energy-efficient microclimate management system in industrial greenhouses, operating in conditions of uncertainty, a neural network model for predicting the energy consumption of natural gas and electricity has been developed. The input parameters of the neural network forecasting model are: the value of external and internal air temperatures of the greenhouse, the value of relative humidity, the solar radiation absorbed by the greenhouse and the level of carbon dioxide in the greenhouse. The outputs of the forecasting model are the values of natural gas and electricity costs. The structural and functional scheme of the temperature and humidity control automation system in industrial greenhouses has been improved by combining intelligent algorithms for stabilizing the operation of technological equipment at the lower management level and optimizing energy costs by forecasting them at the upper level. The introduction of such a system saves up to 13% on natural gas for heating and up to 10% on electricity.
The Development of ELISA-test System for Detection of Specific IgG to SARS-COV-2 Coronavirus by Immunoblotting (Line Blot)
Authors: Mardanly S. G. , Popova T. V.
Published: September 2022

Relevance. The problem of timely and effective diagnosis of COVID-19 remains one of the main problems facing healthcare. In this regard, the task of developing test systems for the etiological diagnosis of COVID-19 remains extremely relevant. Purpose To develop ELISA test system for detection of G specific immunoglobulins to SARS-COV-2 coronavirus by immunoblotting (Line Blot). Methods. Elaboration of techniques for obtaining test components and preliminary assessment of its diagnostic effectivenessin blood serums from COVID-19 patients treated at N. I. Pirogov First Gradsky Hospital, Moscow, and serums from healthy human donors. Results. The study of 104 blood serum samples from COVID-19 patients and 100 blood serum samples from healthy human donors, pre-tested by ELISA IgG to SARS-CoV-2 using «Vitrotest SARS-CoV-2 IgG» test systems (Vitrotest, Ukraine) and «ELISA-SARS-CoV-2-AB-G» (CJSC EKOlab, Russia) showed high diagnostic efficiency of the new test system. Conclusion. The new test system after state registration of the medical device can be recommended as a confirmatory test for the etiological laboratory diagnosis of COVID-19.
Analyzing the Problem of Mass Rejection of Vaccination against COVID-19. Possible Solutions
Authors: Korsak K. S. , Voropaev E. V. , Stoma I. O.
Published: September 2022

Relevance. The first case of COVID-19 was registered in 2019. Several months later, the local outbreak became pandemic. The only way to curb the spread of SARS-CoV-2 infection is mass vaccination that aims to form a herd immunity. The success of vaccination depends on people’s acceptance, which might be problematic. The review summarizes the main barriers to mass vaccination against COVID-19, categorizing people based on their willingness to vaccinate, and pointing out possible areas of work to overcome the barriers listed above. Aim. Analyze the problem of mass rejection of vaccination against COVID-19. Determine possible solutions. Conclusion. The main reason for refusal to vaccinate against COVID-19 is the lack of public awareness about the safety and efficacy of vaccines. This review lists possible approaches to creating a supportive information environment and ways to stimulate citizens to accelerate the rates of mass vaccination.
Monitoring and Forecasting the Dynamics of the Incidence of COVID-19 in Moscow: 2020–2021
Authors: Sokolov A. V. , Sokolova L. A.
Published: September 2022

Relevance. The accumulation of information (statistical data and knowledge) about the COVID-19 pandemic leads to the refinement of mathematical models, to the expansion of the area of their use. The aim of this study is to build a set of models (in line with current knowledge and data) to identify the functions that drive the dynamics of a pandemic and analyze the possibilities for making predictions. Materials and methods. The work used data from open statistical and information resources relating to all aspects of COVID-19. The basis of the study is the balanced identification method and the information technology of the same name, created at the Center for Distributed Computing of the Institute for Information Transmission Problems of the Russian Academy of Sciences. The technology is used to build (select) models that correspond to the quantity and quality of data, perform calculations (forecasts) and present results (all the graphs below were prepared on its basis). Result. The constructed models satisfactorily describe the dynamics of the incidence of COVID-19 in Moscow. They can be used for a forecast with a horizon of several months, provided that new, previously absent elements do not appear in the modeled object. The main internal mechanism that determines the dynamics of the model is herd immunity and an increase in the infectivity of the virus (due to the spread of Delta and Omicron strains). Conclusion. The results of the successful use of balanced identification technology for monitoring the COVID-19 pandemic are presented: models corresponding to data available at various points in time (from March 2020 to December 2021); the acquired new knowledge - functional dependencies that determine the dynamics of the system; calculations of various epidemic indicators (morbidity, immunity, reproduction indices, etc.); various forecasts for Moscow (from 12/01/2020, 04/15/2021, 08/01/2021 and 08/01/2021).
The Qur’ān in Medieval Slavic Writings. Fragmentary Translations and Transmission Traces
Authors: Brzozowska Zofia A. , Leszka Mirosław J.
Published: September 2022

The Qur’ān was never translated into Church Slavic in its entirety; still, in the writings of some mediaeval Christian authors (Byzantine and Latin) quite extensive quotations and borrowings from it can be found. Many of these texts were transmitted in the Slavia Orthodoxa area. The aim of this article is to present the Church Slavic literary sources which contain quotations from the Qur’ān. The analysis covers Slavic transla­tions of Byzantine and Latin authors as well as original texts of Slavic provenance. The main conclusion of the research is that only ca. 2% of the text of the Qur’ān has been preserved in the Church Slavic material.
Educational Migration Bridge: From Metaphor to Project
Authors: Osiyanova O. M. , Levina E. N. , Osiyanova A. V.
Published: September 2022

The purpose of the article is to analyze the topical problem of educational migration and ways to solve it. The article identifies factors preventing from successful adaptation and socialization of foreign students in recipient country as legal, pedagogical, psychological, lingvo-communicative are identified. Minimization of negative factors actualized the integrated strategy of educational migration «bridge construction» development aimed at solving tasks of migrants’ integration in Russian labour market, providing them with all-round support in getting education, improving professional qualification, adaptation and socialization. The term «bridge» is metaphorically used as an artificial, virtual «construction» functioning as a means for educational migration support of citizens.The experience of the Orenburg State University in development and realization of the longterm integrated strategy of educational migration «bridge construction» presented within the Strategic Academic Leadership Program «Priority 2030» is studied. Regarding the potential of the University and Orenburg region the ways of educational migration «bridge construction» are determined: introduction of educational migration interactions into mission and policy of the university; development of open university migration interactions network structures; implementation of educational migration interaction based on norms, values and ideals of person’s lingvo-communicative culture. The practical steps for the strategy realization within the project «Educational migration bridge» are described: formation of the united scientific, educational and cultural environment based on mutual activity in international scientific and educational community; arrangement of universities regional consortium for informing applicants from Asian countries, for training and living in universities campuses; establishment of the Faculty of foreign students’ education and digital educational platform ensuring logistics and student educational improvement management; development and realization of module network programs for foreign students; realization of additional educational programs in OSU Linguistic center. The authors analyze the main indicators of the project effectiveness: quantitative and qualitative results of the Faculty of foreign students’ education activity in training Russian and culture; establishment of the Orenburg branch of Foreign Students Association, students’ involvement in various interaction forms and special career guidance events; scientific and methodological support for teachers. Realization of the strategy implies creation in OSU in the nearest future a specific environment including social infrastructure for foreigners.
University Training of STEM-IT Professionals to Innovation Activity in 3D-Teams
Authors: Chuchalin A. I.
Published: September 2022

The paper focuses on the training professionals in the field of natural sciences, engineering and technology, mathematics and IT with different levels of education and qualifications (bachelor, master, doctor) for joint innovation activity in interdisciplinary 3D teams. The paper substantiates the need for such training, which stems from digitalization and introduction of Industry 4.0 tools, as well as the desire to overcome the technological backlog of the country. Based on the analysis of the best world practices of innovation activity, the paper proposes to coordinate programs for training of STEM-IT professionals for effective collaboration in 3D-teams by planning the competencies of graduates, taking into account the priorities of scientists, engineers, technologists, mathematicians and IT specialists when working with the division of labor in a team at various stages of creating science-intensive innovative products, systems, processes, and services. The purpose of the research is to develop recommendations for program coordination.
Visual Query Interface Based on Procedural Visual Language
Authors: Suzuki Tomonori , Watanobe Yutaka , Singh Divij G.
Published: September 2022

In this paper, we propose a visual interface for manipulating relational databases (RDBs). This interface, unlike structured query language (SQL), describes queries in a procedural language with graphs. This helps inexperienced users to interact with RDBs, and also helps experienced users to express nontrivial queries properly. It also supports SQL-DML (SELECT, INSERT, UPDATE, DELETE), ensuring there is no missing functionality in database manipulation. It also introduces the system architecture and algorithms for the inter-conversion between SQL and the Visual Query Interface. This architecture can support various RDBMSs.
Implementation of a CNN-Based Driver Drowsiness and Distraction Detector in Mobile Devices
Authors: Flores-Monroy Jonathan , Nakano-Miyatake Mariko , Perez-Meana Hector , Escamilla-Hernandez Enrique , Sanchez-Perez Gabriel
Published: September 2022

Drowsiness and driver distraction are considered the main causes of traffic accidents in the world. Considering this situation, this paper proposes two important modifications to our previously proposed driver drowsiness and distraction detector for real-time implementation on handheld mobile devices, such as smartphones. The first modification is due to a large variation in the capacity of mobile devices. To adapt the proposed system to a wide range of mobile devices, we present two automatic threshold calculations, which are used to differentiate driver drowsiness from normal blinking and dangerous driver distraction from normal short-term distraction. The second modification is related to the alarm during a continuous dangerous situation of the driver. We introduce a new algorithm to ensure the continuous activation of the alarm while the dangerous situation continues. These improvements perform as the general algorithm, since when it was implemented in mobile devices with low computational power, as well as in devices that do not have these limitations, the alarm activation times were not affected; On the other hand, it was possible to increase the accuracy originally given by the first system with respect to Ground Truth by almost 25% on average, resulting in alarm activations not being affected to a great extent by the natural errors that the convolutional neural networks (CNN) may cause, these improvements are shown and supported by the implementation in real time through video links provided in this work.
Evidence-Based Methods for the Development of Computationally Supported Epidemic-Combating Policies
Authors: Danielson Mats , Ekenberg Love , Komendantova Nadejda , Mihai Adriana
Published: September 2022

In this article, we suggest a group decision method within an integrated computational framework for decision policy. Based on a co-creation workflow, epidemiological estimates, and socioeconomic factors, decisions are considered in a multi-stakeholder, multi-criteria context to elicit attitudes, perceptions, and preferences of relevant stakeholder groups. The complete framework has been applied in Botswana, Romania, and Jordan to assess mitigation actions related to the Covid-19 pandemic in order to mobilize better response strategies for other relevant future scenarios, and potentially more serious pandemics and other hazardous events. The framework was recommended as best practice in the EU under the European Open Science Cloud EOSC, Covid-19 Fast Track Funding.
Ontology Reuse: The Real Test of Ontological Design
Authors: Sowiński Piotr , Wasielewska-Michniewska Katarzyna , Ganzha Maria , Paprzycki Marcin , Bădică Costin
Published: September 2022

Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem. In this work, the quality of thirty biomedical ontologies, and the Computer Science Ontology are investigated, from the perspective of a practical use case. Special scrutiny is given to cross-ontology references, which are vital for combining ontologies. Diverse methods to detect potential issues are proposed, including natural language processing and network analysis. Moreover, several suggestions for improving ontologies and their quality assurance processes are presented. It is argued that while the advancing automatic tools for ontology quality assurance are crucial for ontology improvement, they will not solve the problem entirely. It is ontology reuse that is the ultimate method for continuously verifying and improving ontology quality, as well as for guiding its future development. Specifically, multiple issues can be found and fixed primarily through practical and diverse ontology reuse scenarios.
Gossip Swap SGD: Lightweight Decentralized Machine Learning for Non-Homogeneous Data Distribution
Authors: Yokota Naoya , Hara-Azumi Yuko
Published: September 2022

Developing lightweight training approaches for distributed machine learning is of key importance to deploy machine learning on Internet-of-Things (IoT) devices. Gossip SGD is attractive among distributed machine learning methods thanks to its applicability to various network topologies (irrespective of having a central entity) and simple parameters update strategy. However, it is known to be inefficient in non-homogeneous data distribution environments. Our work addresses this issue by introducing “parameters swapping” in the Gossip SGD during parameters update to let devices simply exchange their parameters. Our method, named Gossip Swap SGD, efficiently resolves a cause of insufficient accuracy or delayed convergence in parameters update for non-homogeneous data distribution. Our quantitative evaluation demonstrated that our method not only outperforms exiting methods in non-homogeneous data distribution but also has no degradation even in homogeneous data distribution.
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
Authors: Haddad Omar , Fkih Fethi , Omri Mohamed Nazih
Published: September 2022

The rapid pace of technological progress has led to an increasing growth in the volume of digital data circulating on servers and on the web. This has contributed to the birth of the concept of Big Data. Simply put, this concept refers to the huge amount of information on the Internet; yet it also reveals the heterogeneity and complexity of such data. Therefore, analyzing these data, especially unstructured data, has become important since they can be used in many areas such as company management, health, smart city. In order to analyze these data, novel efficient tools are required as the current ones are not effective enough. This paper surveys the most frequently used tools and platforms for Big Data analysis with due emphasis on Machine Learning-based models. The results of this study provide in-depth knowledge of Big Data analytics applications related to machine learning that can contribute to the innovation and development of big data analytics platforms. Moreover, it helps to choose the right tools to ensure the best performance for designing an analytics system.
Optimization of spray-drying process parameters on strawberry (Fragaria ananassa D.) extracts microcapsules quality
Authors: Castaño-Peláez Hader , Rodríguez Misael Cortés , Gil G. Jesús H. , López Gloria L. , Ortega-Toro Rodrigo
Published: September 2022

BACKGROUND:

The strawberry is a fruit with great acceptance by the consumer due to its pleasant flavor and functionality; It is rich in vitamin C, tannins, flavonoids, anthocyanins, catechin, quercetin and kaempferol, organic acids and minerals.

OBJETIVE:

The objective of the research was to evaluate the effect of the feed formulation and the spray-drying process on the quality of strawberry extract microcapsules (EMs).

METHODS:

The response surface methodology was used with a central composite design centered on the face (α= 1), considering the factors: maltodextrin (MD), inlet air temperature (IAT), outlet air temperature (OAT) and atomizing disk speed (ADS), and the response variables: humidity (Xw), water activity (aw), solubility (S), wettability ( We), hygroscopicity (Hy), bulk density ( ρb), compacted density ( ρc), total phenols (TP), antioxidant capacity, angle of repose (AR), strawberry powder particle size (D[3 ;2]), color (CIE-Lab), and process yield (Y).

RESULTS:

The aw and Xw values guarantee microbiological stability and control over degradation reactions in EMs. For the levels evaluated, the S was affected by OAT and ADS, and interaction IAT*MD, ADS*MD, IAT2, and MD2. The We depended on the factors IAT, OAT, and the interactions IAT*OAT and IAT*MD. ABTS activity was affected by the factors ADS, ADS*MD and IAT2. The Y was affected by OAT, MD, IAT*OAT, IOT*ADS, IOT*MD, OAT*ADS, ADS*MD, IOT2, and OAT2. The increase in MD caused a decrease in Hy. The value of L* was affected by ADS and MD, effects due to temperature did not affect the levels evaluated, and chromaticity a* was positively affected by the increase in ADS. IAT and MD presented a statistical effect on AR.

CONCLUSIONS:

The experimental optimization reached a desirability of 73.7%, being the optimal conditions: IAT (154°C), OAT (89°C), ADS (16,805 rpm), and MD (11.5%).
IsaNet: A framework for verifying secure data plane protocols
Authors: Klenze Tobias , Sprenger Christoph , Basin David
Published: September 2022

Today’s Internet is built on decades-old networking protocols that lack scalability, reliability and security. In response, the networking community has developed path-aware Internet architectures that solve these problems while simultaneously empowering end hosts to exert some control on their packets’ route through the network. In these architectures, autonomous systems authorize forwarding paths in accordance with their routing policies, and protect these paths using cryptographic authenticators. For each packet, the sending end host selects an authorized path and embeds it and its authenticators in the packet header. This allows routers to efficiently determine how to forward the packet. The central security property of the data plane, i.e., of forwarding, is that packets can only travel along authorized paths. This property, which we call path authorization, protects the routing policies of autonomous systems from malicious senders.

The fundamental role of packet forwarding in the Internet’s ecosystem and the complexity of the authentication mechanisms employed call for a formal analysis. We develop IsaNet, a parameterized verification framework for data plane protocols in Isabelle/HOL. We first formulate an abstract model without an attacker for which we prove path authorization. We then refine this model by introducing a Dolev–Yao attacker and by protecting authorized paths using (generic) cryptographic validation fields. This model is parametrized by the path authorization mechanism and assumes five simple verification conditions. We propose novel attacker models and different sets of assumptions on the underlying routing protocol. We validate our framework by instantiating it with nine concrete protocol variants and prove that they each satisfy the verification conditions (and hence path authorization). The invariants needed for the security proof are proven in the parametrized model instead of the instance models. Our framework thus supports low-effort security proofs for data plane protocols. In contrast to what could be achieved with state-of-the-art automated protocol verifiers, our results hold for arbitrary network topologies and sets of authorized paths.
Dying with Parkinson’s Disease: Healthcare Utilization and Costs in the Last Year of Life
Authors: Zwicker Jocelyn , Qureshi Danial , Talarico Robert , Webber Colleen , Watt Christine , Kim WooJin , Milani Christina , Ramanathan Usha , Mestre Tiago , Tanuseputro Peter
Published: September 2022

Background:

The end-of-life period is associated with disproportionately higher health care utilization and cost at the population level but there is little data in Parkinson’s disease (PD).

Objective:

The goals of this study were to 1) compare health care use and associated cost in the last year of life between decedents with and without PD, and 2) identify factors associated with palliative care consultation and death in hospital.

Methods:

Using linked administrative datasets held at ICES, we conducted a retrospective, population-based cohort study of all Ontario, Canada decedents from 2015 to 2017. We examined demographic data, rate of utilization across healthcare sectors, and cost of health care services in the last year of life.

Results:

We identified 291,276 decedents of whom 12,440 (4.3%) had a diagnosis of PD. Compared to decedents without PD, decedents with PD were more likely to be admitted to long-term care (52% vs. 23%, p < 0.001) and received more home care (69.0 vs. 41.8 days, p < 0.001). Receipt of palliative homecare or physician palliative home consultation were associated with lower odds of dying in hospital (OR: 0.24, 95% CI: 0.19– 0.30, and OR: 0.38, 95% CI: 0.33– 0.43, respectively). Mean cost of care in the last year of life was greater for decedents with PD ($68,391 vs. $59,244, p < 0.001).

Conclusion:

Compared to individuals without PD, individuals with PD have higher rates of long-term care, home care and higher health care costs in the last year of life. Palliative care is associated with a lower rate of hospital death.
Comparing the impact of the method of adjustment and forced-choice methodologies on subjective visual vertical bias and variability
Authors: Lim Koeun , Teaford Max , Merfeld Daniel M.
Published: September 2022

BACKGROUND: Previous research suggested that the method of adjustment and forced choice variants of the subjective visual vertical (SVV) produce comparable estimates of both bias and variability. However, variants of the SVV that utilize a method of adjustment procedure are known to be heavily influenced by task parameters, including the stimulus rotation speed, which was not accounted for in previous SVV research comparing the method of adjustment to forced-choice. OBJECTIVE: The aim of the present study was to determine if (1) the SVV with a forced-choice procedure produces both bias and variability estimates that are comparable to those obtained using a method of adjustment procedure, (2) to see if rotation speed impacts the comparability of estimates and (3) quantify correlations between the estimates produced by different procedures. METHODS: Participants completed a variant of the SVV which utilized a forced-choice procedure as well as two variants of the SVV using a method of adjustment procedure with two different rotation speeds (6°/s and 12°/s). RESULTS: We found that the bias estimates were similar across all three conditions tested and that the variability estimates were greater in the SVV variants that utilized a method of adjustment procedure. This difference was more pronounced when the rotation speed was slower (6°/s). CONCLUSIONS: The results of this study suggest that forced-choice and method of adjustment methodologies yield similar bias estimates and different variability estimates. Given these results, we recommend utilizing forced-choice procedures unless (a) forced-choice is not feasible or (b) response variability is unimportant. We also recommend that clinicians consider the SVV methods when interpreting a patient’s test results, especially for variability metrics.
MODERN DIRECTION OF GENERAL SECONDARY EDUCATION FORMATION
Authors: Kutsevych Vadym , Tyshkevych Olga
Published: September 2022

The article deals with modern trends in the educational institutions network and buildings design. In the course of the study, the prerequisites for the formation of a network and buildings of different types of schools were analyzed. Based on the generalization of domestic and foreign experience in the design and construction of educational institutions, modern directions for improving the network and the architectural and planning organization of school buildings have been identified. The school network formation based on territorial educational districts is proposed. The expediency of using compact space-planning schemes, flexible planning techniques to ensure that the architectural and planning organization of school buildings meets modern social and pedagogical requirements and improve their performance is substantiated. The general educational institutions formation methods of an inclusive, safe, comfortable architectural environment are determined. To organize inclusive education, it is necessary to provide measures for the accessibility of the schools architectural environment based on the universal design principles. The child-friendly environment formation involves well-controlled school building spaces, the student flows distribution, the safe stairs design, the constant lighting of all rooms, the active use of color, modern materials and equipment.
ANALYSIS OF LIVER FUNCTION DISORDERS IN CRUMB RUBBER FACTORY WORKERS IN PALEMBANG CITY, SOUTH SUMATRA
Authors: Oktriyedi Ferly , Irfannuddin Irfannuddin , Ngudiantoro Ngudiantoro , Dahlan Muhammad Hatta
Published: September 2022

Workers are required to receive Occupational Safety and Health protection. Work accidents can be influenced by physical, chemical, biological, ergonomic and psychological factors. Natural rubber factory is one of the industries that have risks to these factors. This study used a cross-sectional design. Data analysis used the CHAID (Chi-Square Automatic Interaction) method. P value < 0.05 was considered statistically significant. The results of the study showed that the average concentration of H2S in the air and in solids was above the quality standard and the average concentration of H2S in water was still below the quality standard. The average concentration of NH3 in water and in solids is above the quality standard and the average concentration of NH3 in the air is still below the quality standard. The results of the CHAID method analysis showed that glucose levels were associated with impaired liver function (p = 0.000; chi square = 48.766) and the risk of H2S exposure in the air with impaired liver function (p = 0.007; chi square = 7.944). In addition, 3 segments of liver function disorders were also found, namely Segment 1: Workers with abnormal BBS levels, high air exposure H2S; segment 2: Workers with abnormal glucose levels, low air exposure H2S; segment 3: Workers with normal glucose levels. Based on this segment, it was also found that the percentage of risk of experiencing liver function disorders were workers in segment 2 (36.3%) and segment 1 (17.4%).
Analisa Dominasi Konstruksi Epistemologi Pembelajaran Qur’an Hadits, Akidah Akhlak, Fiqih, dan SKI yang diajarkan di Madrasah
Authors: Al Mahalli Ahmad Mustofa Jalaluddin
Published: September 2022

Talking about epistemology, can not be separated from the method. The method of Islamic education in this case discusses the nature of the ways of working in compiling the science of Islamic education. Among the methods used in compiling the science of Islamic education, by referring to the main source (al-Qur'an) including the hermeneutic methodology. This study aims to describe the dominance of the epistemological construction of the learning of the Hadith Qur'an, the Akidah of Morals, Fiqh, and the SKI taught in Madrasas. The results of the analysis are concluded: 1.) If Islamic Religious Education is broken down into four subjects, namely the Hadith Qur'an, Akhah Akhlak, Fiqh, and SKI, then it can be determined which epistemology dominates between the sub-subjects. 2.) The Hadith Qur'an emphasizes the bayani epistemology, because the discussion is centered on the interpretation of the Qur'an and Hadith texts. While Akidah Akhlak will be more dominated by Irfani's knowledge, because it focuses on the experience of intuition in the form of psychological beliefs and experiences in the form of attitudes. 3.) The Fiqh will be balanced between the Bayani and Burhani epistemology, because in addition to the study of the text of the postulate which is the subject of the ushul fiqh, it also considers social knowledge concerning correspondence and coherence with the condition of social societies. Likewise, the History of Islamic Culture will be dominated by both epistemologies, because the history of Islam, besides being examined from naqli texts (asbabun nuzul / wurud), also requires conformity between sensory experience and historical texts (both in terms of chronology and periodization)
Research on the Construction of Fitness Courses in Colleges and Universities from the Perspective of Lifelong Physical Exercise
Authors: Liu Shuang
Published: September 2022

Currently, colleges and universities are paying more and more attention to cultivate students' consciousness of lifelong physical exercise. Many colleges and universities will bring fitness into the physical education curriculum system, so that more and more students realize that fitness can not only enhance students' physical fitness, but also help students shape a perfect body shape, and benefit students for life. However, there are some problems in the construction of fitness courses in universities, which hinder the effective development of fitness courses in universities. Based on this, the writer discusses the feasibility, significance and current situation of the construction of fitness courses in colleges and universities in the perspective of lifelong physical training, and puts forward the construction strategy of fitness courses in colleges and universities in the perspective of lifelong physical training.
A Review of 'A Gender Flexible Pedagogy in Early Childhood Education'
Authors: Tang Ge , Xu Keran
Published: September 2022

Gender is an important feature that people use to analyse social stimuli, children start to form gender stereotypes as early as the preschool education. It is noteworthy that contemporary early childhood education is usually driven by child-centred values that does not address the significance of gender issues for young children. Nevertheless, Aina and Cameron discover that stereotypes might be harmful to children's physical and emotional well-being. Accordingly, it is controversial about the degree to which preschool teachers could implement teaching methods to eliminate these gender stereotypes and improve young children's understanding of gender. An article by Jo Warin and Vina Adriany, 'A gender-flexible pedagogy in early childhood education', gives a detailed investigation in this area. This review will examine the article from five perspectives, including purpose, argument, theoretical concepts, and methodology, and followed by a reflection.
ПРОБЛЕМИ АВТОМАТИЗАЦІЇ БУХГАЛТЕРСЬКОГО ОБЛІКУ МАЛИХ ПІДПРИЄМСТВ
Authors: Мурашко І.С.
Published: September 2022

У статті проводиться аналіз проблем автоматизації бухгалтерського обліку малих підприємств. Зазначено переваги автоматизації бухгалтерського обліку на малих підприємствах. Проведено дослідження динаміки фінансових результатів малих підприємств в Україні та питомої ваги прибуткових малих підприємств у загальній їх кількості за десять років з метою вивчення фінансових можливостей малих підприємств щодо автоматизації бухгалтерського обліку. Визначено перелік проблем пов`язаних із браком коштів на автоматизацію бухгалтерського обліку, у тому числі, доопрацювання та налагодження програм, навчання працівників, оновлення та інше. Проаналізовано можливості вирішення проблем автоматизації обліку на малих підприємствах за допомогою сучасних бухгалтерських програм. Досліджено переваги та недоліки застосування онлайн-сервісів для автоматизації бухгалтерського обліку на малих підприємствах.
Comprehensive data set on ecological and biogeochemical responses of a low latitude oligotrophic ocean system to a gradient of alkalinization intensities
Authors: Riebesell Ulf
Published: September 2022

The potential biogeochemical and ecological impacts of ocean alkalinity enhancement were tested in a 5-weeks mesocosm experiment conducted in the subtropical, oligotrophic waters off Gran Canaria in September/October 2021. In the nine mesocosms, each with a volume of about 10 m3 inhabiting a natural plankton community, alkalinity enhancement was achieved through addition of a mix of sodium bicarbonate and sodium carbonate, simulating CO2-equilibrated alkalinization in a gradient from control up to twice the natural alkalinity. The response of the enclosed plankton community to the alkalinity addition was monitored in over 50 parameters which were sampled or measured in situ daily or every second day. In addition to the mesocosm experiment, a series of side experiments were conducted, focusing on individual aspects of mineral dissolution, secondary precipitation and biological responses at the primary producer level. This campaign, in which 47 scientists from 6 nations participated, generated the most comprehensive data set collected so far on the ecological and biogeochemical impacts of ocean alkalinity enhancement.