bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybride Lieferzeitprognose
Authors: Hiller Tobias , Lucht Torben , Kämpfer Tim , Vinke Lea , Holtsch Patrick , Nyhuis Peter
Published: December 2021

Die Produktionsplanung und -steuerung in MRO-Unternehmen unterliegt starken Unsicherheiten hinsichtlich des Regenerationsumfangs und -zeitpunkts. Aufgrund einer hohen Informationsunschärfe infolge unterschiedlichster Schadensfälle sowie einer Vielzahl interner und externer Einflüsse ist die Vorhersage von Lieferzeiten sowie deren möglichen Ausprägungen zu komplex, um sie vollständig in der Planung und im Auftragsmanagement zu berücksichtigen. Logistische Modelle bieten durch die Verknüpfung verschiedener Ansätze das Potenzial, das logistische Verhalten eines Produktionssystems einfach und dennoch genau zu beschreiben. Eine hybride Modellierung durch die Verzahnung logistischer Modelle mit Methoden aus dem Bereich des Process und Data Mining bietet die Möglichkeit, die Vorteile logistischer Modellierung und datenbasierter Prognosen zu verbinden. Mit dem Ziel, die Planstabilität und Planungsgenauigkeit für MRO-Unternehmen zu erhöhen, forscht das Institut für Fabrikanlagen und Logistik (IFA) gemeinsam mit der MTU Maintenance Hannover GmbH an einem hybriden Ansatz zur modellgestützten Prognose von Lieferzeiten.
Binary classification of small satellites telemetry data based ondeep learning approach
Authors: Skobtsov Vadim Yu.
Published: December 2021

The paper presents solutions to the actual problem of intelligent analysis of telemetry data from small satellites in order to detectits technical states. Neural network models based on modern deep learning architectures have been developed and investigated to solve the problem of binary classification of telemetry data.Itmakespossible to determine the normal and abnormal state of the small satellitesor some of its subsystems. For thecomputeranalysis, the data of the functioning of the small satellitesnavigation subsystem were used:a time series with a dimension of 121690 × 9. A comparative analysis was carried out of fully connected, one-dimensional convolutionand recurrent (GRU, LSTM) neural networks. We analyzed hybrid neural network models of various depths, which are sequential combinations of all three types of layers, including using the technology of adding residual connectionsof the ResNet family. Achieved results were compared with results of widespread neural network models AlexNet, LeNet, Inception, Xception, MobileNet, ResNet, and Yolo, modified for time series classification. The best result,in terms of classification accuracyat the stages of training, validation and testing, and the execution time of one training and validation epoch, were obtained by the developed hybridneural network models of three types of layers: one-dimensional convolution, recurrent GRU and fully connected classification layers, using the technology of adding residual connections. In this case, the input data were normalized. The obtained classification accuracy at the training, validation and testing stages was 0.9821, 0.9665, 0.9690, respectively.The execution time of one learning and validation epoch was twelve seconds. At the same time, the modified Inception model showed the best alternative result in terms of accuracy: 0.9818, 0.9694, 0.9675.The execution time of one training and validation epoch was twenty sevenseconds. That is, there was no increase in the classification accuracy when adapting the well-known neural network models used for image analysis.But the training and validation time in the case of the best Inception model increased by more than twotimes. Thus,proposed and analyzedhybrid neural network model showed the highest accuracy and minimum training and validation time in solving theconsideredproblem according to compared with a number of developed and widely known and used deep neural network models.
Automated object-oriented technology for softwaremodule development
Authors: Kungurtsev Oleksii B. , Novikova Nataliia O. , Zinovatna Svitlana L. , Komleva Nataliia O.
Published: December 2021

It is shown that most technologies for creatinginformation systems are based on an object-oriented approach and provide for the presentation of functional requirements in the form of use cases. However, there is no general agreement on the format ofthe use cases and the rules for describing script items. The work has improved the classification of items of use cases basingon the analysis of a great number of existing descriptions from different subject areas. New rules have been introduced and the existing rules have been clarified for describing usecases, which made it possible to further formalize and automate the process of describing use cases. It is also proposed to automate the process of forming a model of programclasses by introducing additional information linking the class with use cases. Thus, the programming class model contains significantly more information for coding than the existing models in UML diagrams. A method for constructing a model of programclasses has been developed. Methods for the automated description of use cases and the construction of a model of programclasses are linked into a single process. The level of information richness ofthe class model also makes it possibleto automate the debugging process associated with changing requirements. Since the decisions made cover most of the steps in the softwaremodule creation process, they collectively represent a new technology. The proposed model, methods and technology were implemented in the ModelEditor and UseCaseEditor software products. Approbation of the method for automating the description of use cases demonstrateda decrease in the number of errors compared to the traditional method of describingmore than two times, and shortening the time more than one and a half times. Testing the method for con-structing a model of programclasses showed its advantage over the existing technology:errors and time reduction almost one and a half times. The proposed technology can be used in the development of any information systems.
Towards a software defect proneness model: feature selection
Authors: Yakovyna Vitaliy S. , Symets Ivan I.
Published: December 2021

This article is focused on improving static models of software reliability based on using machine learning methods to select the software code metrics that most strongly affect its reliability.The study used a merged dataset from the PROMISE Software Engineering repository, which contained data on testing software modules of fiveprograms and twenty-onecode metrics. For the prepared sampling, the most important features that affect the quality of software code have been selected using the following methods of feature selection: Boruta, Stepwiseselection, Exhaustive Feature Selection, Random Forest Importance, LightGBM Importance, Genetic Algorithms, Principal Component Analysis, Xverse python.Basing on the voting on the results of the work of the methods of feature selection, a static (deterministic) model of software reliability has been built, which establishes the relationship between the probability of a defect in the software module and the metrics of its code. It has been shown that this model includes such code metrics as branch countof a program, McCabe’s lines of codeand cyclomatic complexity, Halstead’s total number of operators and operands, intelligence, volume, andeffort value.A comparison of the effectiveness of different methods of feature selection has been put into practice, in particular, a study of the effectof the method of feature selection on the accuracy of classification using the following classifiers: Random Forest, Support Vector Machine, k-Nearest Neighbors, Decision Tree classifier, AdaBoost classifier, Gradient Boosting for classification. It has been shown that the use of any method of feature selection increases the accuracy of classification by at least ten percentcompared to the original dataset, which confirms the importance of this procedure for predicting software defects based on metric datasets that contain a significant number of highly correlated software code metrics.It has been found that the best accuracy of the forecast for most classifiers was reachedusing a set of features obtained from the proposed static model of software reliability. In addition, it has been shown that it is also possible to use separate methods, such as Autoencoder,Exhaustive Feature Selection and Principal Component Analysis withan insignificant loss of classification and prediction accuracy.
Reducing cloud infrastructure costs through task management
Authors: Galchonkov Oleg N. , Babych Mykola I. , Plachinda Andrey V. , Majorova Anastasia R.
Published: December 2021

The transition of more and more companies from their own computing infrastructure to the clouds is due to a decrease in the cost of maintaining it, the broadest scalability, and thepresence of a large number of tools for automating activities. Accordingly, cloud providers provide an increasing number of different computing resourcesand tools for working in the clouds. In turn, this gives rise to the problem of the rational choice of the types of cloud services in accordance with the peculiarities of the tasks to be solved. One of the most popular areas of effort for cloud consumers is to reduce rental costs. The main base of this direction is theuse of spot resources. The article proposes a method for reducing the cost of renting computing resources in the cloud by dynamically managing the placement of computational tasks, which takes into account the possible underutilization of planned resources, the forecast of the appearance of spot resources and their cost. For each task, a state vector is generated that takes into account the duration of the task and the required deadline. Accordingly, for a suitable set of computing resources, an availability forecast vectorsareformed at a given time interval, counting from the current moment in time. The technique proposes to calculate at each discrete moment of time the most rational option for placing the task on one of the resources and the delay in starting the task on it. The placementoption and launch delays are determined by minimizing the rental cost function over the time interval using a genetic algorithm. One of the fea-tures of using spot resources is the auction mechanism for their provision by a cloud provider. This means that if there are more pref-erable rental prices from any consumer, then the provider can warn you about the disconnection of the resource and make this dis-connection after the announced time. To minimize the consequences of such a shutdown, the technique involves preliminary prepara-tion of tasks by dividing them into substages with the ability to quickly save the current results in memory and then restartfrom the point of stop. In addition, to increase the likelihood that the task will not be interrupted, a price forecast for the types of resources used is used and a slightly higher price is offered for the auction of the cloud provider, compared to the forecast. Using the example of using the Elastic Cloud Computing (EC2) environment of the cloud provider AWS, the effectiveness of the proposed method is shown.
Effect of Water Absorption Behaviour on Tensile Properties of Hybrid Jute-Roselle Woven Fibre Reinforced Polyester Composites
Authors: Hadi Agung Efriyo , Cionita Tezara , Fitriyana Deni Fajar , Parlaungan Siregar Januar , Oumer Ahmed Nurye , Mohamad Hamdan Mohammad Hazim , Jaafar Jamiluddin , A.P. Irawan  , Muhamad Zalinawati
Published: December 2021

Incorporating natural fibre as reinforcement in the polymer matrix has shown a negative effect since the natural fibre is hydrophilic. The natural fibre easily absorbs water which causes an effect on the mechanical properties of the composites. The objective of this paper is to investigate the water absorption behaviour of hybrid jute-roselle woven fibre reinforced unsaturated polyester composite and the effect of water absorption in terms of tensile strength and tensile modulus. The effect of hybrid composite on the thickness swelling will be tested. The fabrication method used in this study is the hand lay-up technique to fabricate 2-layer and 3-layer composites with layering sequences of woven jute (J)/roselle (Ro) fibre. The results of the study showed that pure roselle fibres for 2 and 3-layer composites have the highest water absorption behaviour 3.86% and 5.51%, respectively, in 28 days) as well as thickness swelling effect, whereas hybrid J-Ro and J-J-Ro composites showed the least water absorption (2.65% and 3.76%, respectively) in 28 days) in both the tests. The hybridisation between jute and roselle fibres reduced water absorption behaviour and improved the fibres dimensional stability. The entire composites showed a decreasing trend for both tensile strength and tensile modulus strength after five weeks of water immersion. Jute fibre composite hybridised with roselle fibre can be used to reduce the total reduction of both tensile strength and tensile modulus throughout the whole immersion period. Moreover, the tensile testing showed that jute fibre composite hybridised with roselle fibre have produced the strongest composite with the highest tensile and modulus strength compared to other types of composites. The hybridisation of diverse fibre reinforcements aids in minimising the composite water absorption and thickness swelling, hence reducing the effect of tensile characteristics.
Wear Based Lifetime Estimation of a Clutch Facing using Coupled Field Analysis
Authors: Kulkarni A. , Mahale R. , Kannan C.
Published: December 2021

Repetitive use of the clutch, over a period of time, causes the friction material at the contact surfaces (clutch facing and flywheel/pressure plate) to wear, thus deteriorating its performance and usable life. The working life of a rigid clutch is the limiting factor when it comes to extracting maximum performance from a dual mass flywheel system, which is used in a lot of modern vehicles nowadays to lower fuel consumption and improve ride quality. In this study, we investigate the influence of different groove patterns on wear in rigid clutch facings and estimate their life using a comprehensive finite element model. The wear is calculated and analysed for five different groove patterns across two different inorganic materials, namely FTL180 and TF1600-MC2, using Archard’s Adhesive Wear Model. Coupled multi-physics elements are employed in the analysis to capture the effect of frictional heat generation on wear. We found that the Waffle pattern offered a decrease of 10.4% in volumetric wear loss, a 5.78% decrease in maximum wear thickness and an increase of 11.51% in the average working life is used in city like conditions with frequent engagements. This work sheds light on the impact of groove patterns on clutch facing wear and opens a new path for the design and development of more resilient rigid clutches.
Practice patterns for chronic hypoparathyroidism: data from patients and physicians in France
Authors: Bertocchio Jean-Philippe , Grosset Natalie , Groussin Lionel , Kamenický Peter , Larceneux Fabrice , Lienhardt-Roussie Anne , Linglart Agnès , Maruani Gérard , Mirallie Eric , Pattou François , Seervai Riyad N H , Sido Coralie , Silve Caroline , Vilfaillot Aurélie , Tabarin Antoine , Vantyghem Marie-Christine , Houillier Pascal , _ _
Published: December 2021

Context

Recent guidelines have provided recommendations for the care of patients with chronic hypoparathyroidism. Very little is known about actual physicians’ practices or their adherence to such guidelines.

Objective

To describe the physicians’ practice patterns and their compliance with international guidelines.

Design

The cohort studies included were Épi-Hypo (118 physicians and 107 patients, from September 2016 to December 2019) and ePatients (110 patients, November 2019).

Methods

Internet-based cohorts involving all settings at a nationwide level (France). Participants were (i) physicians treating patients with chronic hypoparathyroidism and patients with chronic hypoparathyroidism either participating in the (ii) Épi-Hypo study (Épi-Hypo 2019 patients), or (iii) Hypoparathyroidism France, the national representative association (ePatients).

Results

The physicians’ specialties were mainly endocrinology (61%), nephrology (28%), family medicine (2.5%), pediatrics (2.5%), rheumatology (2%), or miscellaneous (4%) and 45% were practicing in public universities. The median number of pharmaceutical drug classes prescribed was three per patient. The combination of active vitamin D and calcium salt was given to 59 and 58% of ePatients and Épi-Hypo 2019 patients, respectively. Eighty-five percent of ePatients and 87% of physicians reported monitoring plasma calcium concentrations at a steady state at least twice a year. In 32 and 26% of cases, respectively, ePatients and physicians reported being fully in accordance with international guidelines that recommend targeting symptoms, plasma calcium and phosphate values, and urine calcium excretion.

Conclusions

The care of patients with chronic hypoparathyroidism involves physicians with very different practices, so guidelines should include and target other specialists as well as endocrinologists. Full adherence to the guidelines is low in France.
LA INTERPRETACIÓN ALEGÓRICA DE LOS POEMAS HOMÉRICOS EN EL PERIODO ARCAICO COMO EXÉGESIS FILOSÓFICA
Authors: Prada Gastón Alejandro
Published: December 2021

Este trabajo estudia la interpretación alegórica de los poemas homéricos en el periodo arcaico a partir del corpus supérstite de los llamados «alegoristas»: Teágenes de Regio, Ferécides de Siros y Metrodoro de Lámpsaco. Se propone que, a través de esta perspectiva, los intérpretes hacen foco en algunos de los problemas metafísicos presentes en la Ilíada y la Odisea, trazando así filiaciones conceptuales con la filosofía presocrática. Se parte de la hipótesis de que la alegórisis de los poemas homéricos del periodo arcaico no constituye un mero discurso apologético como se da en épocas subsiguientes sino, en rigor, una decodificación de un lenguaje propio de la épica que permite plasmar determinadas nociones filosóficas en nuevas formas de enunciación del contexto arcaico y preclásico.
DERECHO INTERNACIONAL Y COMUNIDAD ÉTICA EN RELIGIÓN DE KANT
Authors: Quiroga Noelia Eva
Published: December 2021

El objetivo de este trabajo es ofrecer una lectura en clave política de la Religión dentro de los límites de la mera razón. Para ello examinaré la manera en que el derecho internacional de Kant se aplica en el paralelo ético-jurídico en dicha obra. En primer lugar, mostraré que sin bien Kant utiliza en Religión el término “república” para referirse a la asociación de Estados, sin embargo, no sostiene el modelo de una república mundial para el derecho internacional, sino de una Federación de Estados. En segundo lugar, mostraré que Kant no sostiene una analogía estatal con el derecho internacional, sino una analogía ético-jurídica entre la comunidad ética y la condición legal internacional bajo la Federación libre de Estados y el derecho cosmopolita. Por último, presentaré el sentido en que dicha analogía expone la idea de progreso que Kant tiene para las comunidades políticas existentes.
“Between the Mouth of the Two Rivers”
Authors: Perdibon Anna
Published: December 2021

This contribution offers an anthropological view of holy waters, springs, sacred rivers, and trees in the ancient Mesopotamian religious framework. Water is omnipresent in Mesopotamian myths and rituals, particularly in association with the cosmic Apsû, the primeval source of all waters. The pristine waters flow out through springs in the mountains and form the flowing bodies of rivers. For the Babylonians and Assyrians, rivers and watercourses were sacred and cosmic entities, often worshipped as deities. The Tigris and the Euphrates particularly appeared as river deities, with life-giving, motherly, healing, and judging roles. This essay considers the interrelationships between the Apsû, springs and sacred rivers, and the associated sacred trees, mountains and anthropomorphic deities, to shed new light onto ancient Mesopotamian notions about nature, religion, and the cosmos.
Croatian Sacred Waters
Authors: Marjanić Suzana
Published: December 2021

This article broadly surveys the role of water in Croatian ethnic tradition. Beginning with pre-Christian perceptions of healing (babas or hags) and fairies associated with watery sites, the essay offers a summary of previous works on Croatian water lore. Moving into the present, this article considers water traditions of the Slavic folklore, how these have endured and been renegotiated over time and how they now find expression in contemporary water and river art
Nanostruktūrizuotų manganitų kobaltitų sluoksnių magnetovaržinės savybės
Authors:   , Rudokas Vakaris
Published: December 2021

Magnetoresistive properties of nanostructured manganite cobaltite films
Kolektyvinio sodo fenomeno urbanistinis ir sociokultūrinis aspektai. Sovietinės Lietuvos atvejis
Authors:   , Šiupšinskas Matas
Published: December 2021

Urban and socio-cultural aspects of the collective garden phenomenon. The case of Soviet Lithuania
La violencia selectiva del crimen organizado: trayectorias de la violencia urbana posdesmovilización
Authors: Trejos Rosero Luis Fernando , Badillo Sarmiento Reynell , Orozco Flórez Camila Andrea , Parra Arrieta Luis Carlos
Published: December 2021

¿Por qué la desmovilización de un actor armado hegemónico en un territorio, aunque produce una competencia armada entre varias organizaciones que intentan copar sus espacios, no eleva los índices de violencia homicida? En este artículo proponemos el concepto de competencia armada selectiva para explicar una situación en la que los actores en disputa especifican los perfiles de victimización con el fin de evitar atraer atención mediática e institucional, al tiempo que afectan a sus competidores armados. Para esto, comparamos tres ciudades del Caribe colombiano (Santa Marta, Cartagena y Barranquilla) durante los años siguientes a la desmovilización del Bloque Norte de las auc, en el 2006. Encontramos que durante estos años la violencia homicida no se incrementó, pero se mantuvo la competencia armada mediante asesinatos selectivos, subcontratación criminal y barbarización de la violencia.
A formação de professores e a educação inclusiva
Authors: Ziesmann Cleusa Inês , Veraszto Estéfano Vizconde , Siqueira Maxwell
Published: December 2021

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pandemia da COVID-19 e a acentuação das desigualdades sociais em diferentes territórios
Authors: Barbosa da Silva Juliana Catarine , Amorim da Silva Roseane
Published: December 2021

Neste estudo apresentamos uma reflexão sobre a precarização e as desigualdades nos modos de vida em diferentes territórios no contexto da pandemia da COVID-19. Para isso, fizemos uma busca de documentos de domínio público no Jornal Folha de São Paulo, considerando os meses de abril e maio (1ª fase da pandemia), através dos descritores: periferia, favela, comunidade, quilombolas e indígenas, relacionados à COVID-19. Identificamos 623 matérias e após leitura e categorização, restaram 175. Foi realizada análise temática das matérias selecionadas. Observamos que os discursos produzidos sobre as comunidades, favelas e periferias percorrem diversos caminhos. Os referidos espaços são abordados como mais vulneráveis aos efeitos sociais, econômicos e políticos que surgem com a pandemia, e observamos que a COVID-19 visibilizou antigas problemáticas: a precarização do trabalho, das condições de moradia e as desigualdades entre negros/as e brancos/as. As matérias abordaram também a insuficiência dos cuidados com os povos tradicionais e a necessidade de medidas urgentes de proteção e acesso aos serviços de saúde para essas populações.
Palavras-chave: Territórios; COVID-19; documentos de domínio público.
Archaeobotanical Macroscopic Plant Remains from the Early Neolithic Dwelling Structures at the Brzezie 40, Targowisko 16 and 14–15 Sites in Western Małopolska
Authors:   Usługi Archeologiczne i Archeobotaniczne, Siemianowice Śląskie, Polska, Abramów Joanna
Published: December 2021

The aim of this short article is to present the results of archaeobotanical analysis of macroscopic plant remains obtained in 2018–2019, during the test excavations carried out on three selected sites from Targowisko settlement region (Brzezie 40, Targowisko 16 and 14–15). Thanks to the field research strategy adopted, chronologically compact plant remains were obtained from objects included in the house structures, coming from narrow time horizons, equal to the operation time of individual Linienbandkeramik houses from the beginning of the Želiezovce phase (Brzezie 40 and Targowisko 16) and the phase of the classic Malice culture (Targowisko 14–15).
Development of a method for differential analysis of data on the arterial blood oxygenation in healthy adults
Authors: Chuiko Gennady , Darnapuk Yevhen
Published: December 2021

Monitoring of arterial blood saturation with oxygen (oxygenation) has gained special significance as a result of the COVID-19 pandemic. A new method for computer processing of saturation records (so-called SaO2 signals), based on the study of differentials (increments) from signals, was proposed. Finding a differential for a time series involves calculating the difference between the pairs of its adjacent elements. The differential is non-zero only if the elements in a pair are different. The study of differentials together with primary signals for a set of records (20 subjects) shows that the spectrum of observed levels of blood saturation is discrete and limited (from 2 to 10 levels). In addition, changes in saturation levels (switches) occur only between the nearest levels.
New indicators of the variability of blood saturation were proposed. These are the frequencies of saturation level switches (event intensities) and the intervals between them. It was established that these indicators are described by statistical distributions of Poisson and Erlang, respectively. Comparison of new variability indicators with the most reliable statistical – inter-quartile range – indicates that the new indicators also provide for the division of the data set into three subgroups according to the magnitude of variability. This division is statistically significant at a confidence level of 0.99 in both approaches, however, the division into sub-groups is slightly different in these methods.
It was shown that the proposed indicators of the variability of SaO2 signals are scale-invariant, that is, they do not depend on the length of observation interval. This is a consequence of the fractality of the positions of differentials in the observation interval. The established switch frequencies for subgroups in order of increasing variability are (0.06, 0.11, and 0.20) Hz. These frequencies are manifested on Fourier spectra of differentials of SaO2
Building a mathematical model and an algorithm for training a neural network with sparse dipole synaptic connections for image recognition
Authors: Lytvyn Vasyl , Peleshchak Roman , Peleshchak Ivan , Cherniak Oksana , Demkiv Lyubomyr
Published: December 2021

Large enough structured neural networks are used for solving the tasks to recognize distorted images involving computer systems. One such neural network that can completely restore a distorted image is a fully connected pseudospin (dipole) neural network that possesses associative memory. When submitting some image to its input, it automatically selects and outputs the image that is closest to the input one. This image is stored in the neural network memory within the Hopfield paradigm. Within this paradigm, it is possible to memorize and reproduce arrays of information that have their own internal structure.
In order to reduce learning time, the size of the neural network is minimized by simplifying its structure based on one of the approaches: underlying the first is «regularization» while the second is based on the removal of synaptic connections from the neural network. In this work, the simplification of the structure of a fully connected dipole neural network is based on the dipole-dipole interaction between the nearest adjacent neurons of the network.
It is proposed to minimize the size of a neural network through dipole-dipole synaptic connections between the nearest neurons, which reduces the time of the computational resource in the recognition of distorted images. The ratio for weight coefficients of synaptic connections between neurons in dipole approximation has been derived. A training algorithm has been built for a dipole neural network with sparse synaptic connections, which is based on the dipole-dipole interaction between the nearest neurons. A computer experiment was conducted that showed that the neural network with sparse dipole connections recognizes distorted images 3 times faster (numbers from 0 to 9, which are shown at 25 pixels), compared to a fully connected neural network
Efficiency definition of the deposition process of electrochromic Ni(OH)2-PVA films formed on a metal substrate from concentrated solutions
Authors: Kotok Valerii , Kovalenko Vadym , Nafeev Rovil , Verbitskiy Volodymyr , Melnyk Olena , Plaksiienko Iryna , Kovalenko Igor , Stoliarenko Viktoriia , Plaksiienko Valerii , Zamrii Iryna
Published: December 2021

Electrochemical devices based on nickel hydroxide electrodes are used in different areas. The main ones are chemical current sources, variable transparency “smart” windows, devices for carrying out electrocatalytic reactions, sensors for determining various substances. In this regard, methods of nickel hydroxide synthesis are of great interest, especially those that allow forming nickel hydroxide directly on the surface of electrodes. One of these methods is electrochemical deposition with cathodic current polarization.
The available information on nickel hydroxide synthesis from nickel solutions was considered. It was shown that the available data mainly covered information on dilute solutions from 0.01 to 0.25 mol/L Ni(NO3)2. In addition, no comparison was found in the literature for the efficiency of the cathodic formation of Ni(OH)2 at different concentrations of nickel nitrate.
To eliminate the lack of information, the dependence of the current efficiency on the concentration of nickel nitrate in the electrodeposition solution was determined at a constant cathode current density of 0.625 mA/cm2. The resulting dependence decreased nonlinearly with increasing concentration. The nickel hydroxide deposit formed in this case had an X-ray amorphous structure, and it depended little on the Ni(NO3)2 concentration. In addition, the current efficiency reached zero at concentrations of 1.5 mol/L Ni(NO3)2 and higher. However, with polyvinyl alcohol in the solution and at Ni(NO3)2 concentrations of 1.5 and 2 mol/L, electrochemically and electrochromically active Ni(OH)2 films were deposited. The current efficiency calculated indirectly for 1.5 and 2 mol/L Ni(NO3)2 solutions was 3.2 and 2.3 %, respectively. Thus, it was concluded that polyvinyl alcohol affected the mechanism of nickel hydroxide electrodeposition from aqueous solutions of nickel nitrate.
Influence of sound-absorping properties of noise protection barriers on road traffic participants
Authors: Zaets Vitaly , Bida Dmytro
Published: December 2021

The object of research is the sound field from linear sound sources between two parallel impedance noise barriers. The presence of barriers changes the structure of the sound field, as a result of which the sound pressure level in the area between the barriers increases. An increase in sound levels leads to both a decrease in the effectiveness of noise barriers and an increase in the negative impact on road users. One of the ways out of this situation is the construction of barriers with sound-absorbing properties. In this paper, the influence of the impedance properties of the barriers at the level of sound pressure in the area between the barriers is considered.
The finite element method was chosen to calculate the sound field around the barrier. A computer model of a linear sound source with vertical sound-absorbing barriers on both sides of the source was built in the Comsol Multiphysics software environment. The sound absorption properties of the barrier were determined by the acoustic impedance of the face of the barrier. The sound fields were calculated in octave bands with geometric mean frequencies from 31 to 500 Hz. In addition, the parameters that were also analyzed were the distance between the barriers and their height.
The solution of the problem made it possible to obtain a field of sound pressure levels around the barrier. Changeable simulation parameters made it possible to analyze a large number of situations of relative position of barriers and their heights encountered in engineering. Studies have shown that only at low frequencies and relatively small distances between barriers, the sound pressure level can increase significantly. However, it has also been shown that the use of sound-absorbing lining of noise barriers can reduce the sound pressure levels in the area between the barriers and improve the acoustic conditions for road users.
Model and method development for determining the completeness of information for remote detection of landmarks for autonomous mobile robots
Authors: Poliarus Oleksandr , Lebedynskyi Andrii , Chepusenko Yevhenii , Lyubymova Nina
Published: December 2021

The object of research is the completeness of information for making a navigation decision by an autonomous mobile robot when it performs a task in an unfamiliar area without GPS. It is difficult to identify a landmark in the absence and abundance of information. One of the most problematic places is the mathematical description of the criterion according to which an autonomous robot makes a decision about the completeness of information. The paper substantiates a model and method for determining the completeness of information by a robot equipped with several landmarks detection tools operating on different physical principles. It is shown that the implementation of the method requires a priori information on the probability of detecting various landmarks by passive and active means against a continuous and discontinuous background at different illumination of objects, in day and night conditions under different weather conditions. The values of the probability of detecting a specific type of landmark obtained in such studies serve as the basis for constructing an information cadastre for a job performing tasks on the ground. Three formulas are proposed for determining the coefficient of completeness of information, taking into account a priori and a posteriori inventories, and recommended areas of application. The value of this coefficient depends on the threshold level of the probability of detecting a landmark. The reliability of a decision made by a robot is greatest when it is made under conditions of a certain level of completeness of information. The proposed method can be used for other technical objects from which the measurement information is received. Compared with the known methods, it expands the boundaries of application and reveals the possibility of assessing the completeness of information in constantly changing conditions. Along with a change in these conditions, the characteristics of the completeness of information also change. The coefficient of completeness of information can approach unity even in the absence of separate means of detecting landmarks, and then the method makes it possible to assess the need for their use in the given conditions.
Application of intelligently controlled technologies in designing of technological processes for explosive forming of shell parts
Authors: Shlyk Sergii
Published: December 2021

The object of research is the processes of pulse metalworking (hydroexplosive, magnetic pulse, electrohydraulic, gas detonation forming, etc.). Among these methods of forming for the production of aircrafts engines parts from cylindrical and conical blanks, the most efficient in terms of its energy capabilities and overall dimensions is explosive. The modern level of theory and practice of metal forming processes allows, on the basis of a systematic approach and control theory, to determine the optimal parameters of plastic forming processes, select the best technical solutions, and create a precondition for the transition to complex automation. The most difficult task of metals forming methods optimizing is to find the best solution among many potentially possible ones, considering the introduced restrictions and efficiency criteria, environmental, economic, technical, ergonomic, and other requirements. The most problematic is that it is impossible to optimize the process of forming post-factum (finishing works, elimination of defects in shape and size, welding of cracks, etc. are required), therefore, when solving optimization problems, the implementation of the feedback principle is required - comparison of the value of the controlled variable, determined by the control program, with the desired value. In general, the processes of metal forming by pressure are characterized by a variety of problems of the theory of optimal control, the solution of which is carried out by methods of mathematical programming. And, although the equipment for pulse processing can have a different design, it necessarily includes structural elements that make it possible to convert the energy of the source and with its help (through the action of a solid body, transmitting medium, or field) to deform the metal of the workpiece. Due to this, in this work, it is proposed to control the quality of the obtained parts by varying the degree of deformation of the workpiece in the process of forming. The result of the work is the development of an integrated intelligent system, with the help of which it is possible to carry out the computer-aided design of almost all pulse-action processes based on the intelligent selection of suitable forming parameters.
Impact of transfusion of blood components on the recipient immune system
Authors: Glazanova T. V. , Shilova E. R. , Chechetkin A. V. , Bubnova L. N.
Published: December 2021

Transfusions of blood provide essential therapeutic measures in a number of pathological conditions. However, when carrying out blood component therapy, it is important to consider probability of post-transfusion complications. Most of them are immune-mediated side effects. The unfavorable consequences of blood transfusions can manifest at long-range time periods, and pathogenesis of these phenomena may be associated not only with the presence of alloantibodies. They may be caused by alloimmunization to HLA antigens, leukocyte factors, including cytokines, products of leukocyte degranulation, as well as storage-related erythrocyte damage («storage lesion»), immunomodulatory properties of extracellular vesicles or microparticles derived from blood components, and other factors. Despite significant number of publications on this issue, a lot of unresolved issues still remain, concerning transfusion-related effects of blood components on the immune system of recipients. The review article provides the results of current studies in this area. We present and discuss the results of current studies and the features of transfusion-mediated immunomodulation (TRIM) revealed over recent years, when transfusing different blood components. The role of plasma factors, microparticles, platelets and erythrocytes, HLA sensitization and microchimerism in the development of TRIM is highlighted, the data on occurrence and clinical features of TRIM in perioperative period are presented. A separate section of the review provides information about recent clinical studies, devoted to the issues of TRIM in different clinical cohorts, including newborns, patients with malignant neoplasms, immunocompromised patients after heart and vascular surgery. The data on TRIM incidence in the patients with exhausted immune system due to previous disease or treatment, severe comorbidity, extensive surgical thoracic/abdominal intervention and artificial circulation are also in scope. As based on the studies performed, the role of distinct measures, e.g., washing of erythrocyte concentrates, leukodepletion, and gamma irradiation are discussed in view of potential TRIM prevention. The results of published research do not allow us to draw definite conclusions about the effects of blood component transfusion on the immune system of recipients with respect to differences between the studied groups of patients, characteristics of the studied disorders and clinical situations, diversity of hemocomponents, as well as varying standards of transfusion therapy adopted in different countries. However, the systematic literature review may provide some guidance in transfusion-mediated immune modulation.
Protective effects of Derinat, a nucleotide-based drug, on experimental traumatic brain injury, and its cellular mechanisms
Authors: Korneva E. A. , Dmitrienko E. V. , Miyamura S. , Noda M. , Akimoto N.
Published: December 2021

Traumatic brain injury is the most common cause of death and disability in young people including sport athletes and soldiers, people under 45 years of age in the industrialized countries, representing a growing health problem in developing countries, as well as in aging communities. Treatment of the latter is a serious challenge for modern medicine. This type of injury leads to many kinds of disorders and, quite often, to disability. These issue require development of new methods for brain trauma treatment. The new approach to brain trauma treatment was studied in murine experiments. In particular, sodium salt of deoxyribonucleic acid (DNA) was used. This preparation is a drug known as a mixture of peptides with immunomodulatory effect which is widely used for different kinds of therapy. Derinat, a sodium salt of DNA, isolated from the caviar of Russian sturgeon, is a proven immunomodulator for treatment of diseases associatd with reactive oxygen species (ROS), including brain ischemia-reperfusion (IR) injury. Here we show that treatment with Derinat exert neuroprotective, anti-oxidative, and anti-inflammatory effects in experimental model of traumatic brain injury (TBI) in rats. Intraperitoneal injection of Derinat several times over 3 days after TBI showed less pronounced damage of the injured brain area. Immunohistochemical study showed that the Derinat-induced morphological changes of microglia in cerebral cortex and hippocampus 7 days after TBI. TBI-induced accumulation of 8-oxoguanine (8-oxoG), the marker of oxidative damage, was significantly attenuated by Derinat administration, both on 7th and 14th day after TBI. To investigate cellular mechanism of anti-inflammatory effects, the primary cultures of murine microglia supplied with ATP (50 M and 1 mM), as a substance released at injured site, were used to mimic the in vitro inflammatory response. Derinate treatment caused an increase of glial levels of mRNAs encoding neurotrophic factor (GDNF) and nerve growth factor (NGF) in the presence of ATP, whereas tissue plasminogen activator (tPA) mRNA was inhibited by ATP with or without Derinat. Interleukin-6 (IL-6) mRNA expression was not affected by ATP but was increased by Derinat. Both mRNA and protein levels of ATP-induced TNFα production were significantly inhibited by Derinat. These results partially contribute to understanding mechanisms of immunomodulatory effects of DNA preparations in traumatic brain injury.
Effective Weed Control in Maize
Authors: BOGDAN Ileana , RUSU Teodor , GADEA Ştefania , IVAN Ilarie , MORARU Paula , POP Adrian
Published: December 2021

The paper present the results of 26 variants of weed control in maize (grouped in 6 distinctly strategies) which were tested in 2010 agricultural year in a one factorial stationary experiment. Three of the strategies were based on post emergence weed control methods, two of them – on pre-emergent weed control method and one of them – based on both methods. The main goal was establishing an optimal network weeds control in maize crop. Maize weed in Luduş area increased, due to weed seeds reserve in the arable stratum and weather conditions, which allow weeds to grow alternatively, and because of the development of problem-causing species during the maize vegetation period, when no tilling is performed.
Explore the Effects of Fertilization on Polyphenols Content in Autumn of Forages from Hill Permanent Grassland by Principal Component & Classifications Analysis
Authors: HARMANESCU Monica
Published: December 2021

Principal Components and Classification Analysis (PC&CA) represents one of the most utilised multivariate chemometric techniques, having the advantage to use many measurements for a single sample in the same time, being recommended for understanding better the complexity of one phenomenon. The aim of this paper was to use PC&CA to study the effects of different types of fertilizers on polyphenols content of forages harvested in autumn from permanent grassland. Gravimetrically was established the matrix of floristic composition. The experimental field was fertilized first time in 2003, organic and/or NPK mineral. The determination of polyphenols contents was made using UV-VIS SPECORD 205 spectrophotometer, in conformity to chemical Folin and Ciocalteu colorimetric method. The highest polyphenols content was identified in forages from unfertilized variant (108 µM gallic acid/g). PC&CA can be a useful tool in describing the modification of polyphenols contents of forages under the effects of organic and/or mineral fertilisation of permanent grassland.
Genetic Variability in a Set of Early Maize Inbred Lines
Authors: HAS Voichita , POP Rodica , HAS Ioan , COPANDEAN Ana
Published: December 2021

Characterization of genetic variability among maize inbred lines can facilitate organization of germplasm and improve efficiency of breeding programs. A set of 83 phenotypically diverse inbred maize lines maintained in Agricultural Research and Development Station (ARDS), Turda, Romania was characterized by pedigree, phenotypically using 14 characters of the plant and ear and genetic with RFLP markers. The objective of this study was to characterize the genetic variability and to define the potential heterotic groups based on clusters formed with marker data. Inbred lines were grouped by their phenotypic differences index in twenty classes. Both the phenotypic and molecular markers analysis indicated high genetic variability and also allowed the separation of the germplasm into group of genetic similarity. The result suggested that the inbred lines analyzed could be useful in maize genetic breeding program.
Results Regarding Seed Germination of Agastache Foeniculum (Pursh) Kuntze
Authors: MATEI Cristina Firuţa , DUDA Marcel , OLAR Marius , ARDELEAN Anca Eva , MĂDAŞ Mariana Niculina
Published: December 2021

Species from Aggastache genus are part of mint family (Lamiaceae) and their flowers represent a lure for insects (bees, butterflies etc.). The common name of hyssop comes from the plant’s hyssop flavour. Commercially, this plant is considered as having culinary importance. Several varieties of this species were selected in Canada, for their essential oil, which contains methyl chavicol. The species was cultivated in Moldavia, as an experiment, for essential oil production.

The herb (Agastache foeniculi herba) is used for therapeutic purposes in treating cardiovascular, nerve and gastrointestinal affections, in treating cold, fever (North America Indies used the infusion for this intent) and as a diaphoretic. It also has antiemetic, antibacterial and antifungal properties. It improves throat pains and cold symptoms.

The present study aimed to determine seed germination, by using classical methods- on paper under layer, in Linhardt dishes and in blotting paper envelopes. Seeds were 1, 2 and 3 years old. The results show that seed germination of Agastache foeniculum (Pursh) Kuntze, is influenced by age and external factors (temperature and light). TP (Top of Paper) and BP (Between Paper) methods both influence the germinating faculty