bluuebunny/crossref_metadata_2025 huggingface dataset:
CONTESTING THE COVID-19 CONSENSUS: CONNECTIVE ACTION OF PSEUDOANONYMOUS ACCOUNTS ON FINNISH TWITTER
Authors: Heikkilä Tuomas , Laaksonen Salla-Maaria , Väliverronen Esa
Published: April 2023

Recent years have witnessed invigorated debate about the contradictions of identity-concealing public participation and its influence on democratic deliberation and policy-making. Some have documented the exploitation of misrepresented identities for manipulation, including the manufacturing and disrupting of political discourses. Others argue that pseudonymous speech fosters less conformist and more secure public spaces for critical social commentary and political activism. In this study, we extend this dichotomy by approaching pseudoanonymous online action as connective action; as focused and communicative political activism aimed to contest the authorities’ Covid-19 response during the pandemic in Finland.

Our empirical analysis uses the historical Twitter data, over 4.2 million tweets, by pseudoanonymous Twitter accounts predominantly tweeting about Covid-19 (n = 229). Using mention and retweet networks combined with profile metrics and qualitative reading of tweets filtered through the network analysis, we explore the networked activity of these accounts, the strategies they have employed to contest authorities, and their connections to political actors and other more organized forms of mobilization around Covid-19.

The preliminary analysis highlights the prominence of these accounts in Covid-19 related Twitter discussions, along with their distinct behavioural features. Pseudoanonymous accounts average shorter lifespans and higher deactivation rates. Some accounts have transitioned from named accounts towards identity-concealing action during the observation period. Further, our analysis reveals a symbiotic relationship between the pseudoanonymous accounts and the established Covid-19 movements. We argue that pseudoanonymous participation is an increasingly emblematic form of connective action afforded by social media platforms, particularly fitted to undermine the legitimacy of authorities.
AI COMPETITIONS AS INFRASTRUCTURES: EXAMINING POWER RELATIONS ON KAGGLE AND GRAND CHALLENGE IN AI-DRIVEN MEDICAL IMAGING
Authors: Luitse Dieuwertje Maria Rebecca , Blanke Tobias , Poell Thomas
Published: April 2023

Artificial Intelligence (AI) is quickly being taken-up across scientific disciplines, medical imaging is no exception. To stimulate development and facilitate the scientific evaluation of new approaches, AI-based research in medical imaging is increasingly organised in a competitive manner through digital machine-learning development platforms such as Kaggle and Grand Challenge—two of the leading platforms in the field. For medical image analysis, such competitions constitute an important research infrastructure, steering global research and development in this dedicated AI subfield. Yet, little is known about how these platform-based infrastructures that operate across the medical AI research pipeline shape the conditions for model production and evaluation. This paper addresses this issue through a critical empirical case study of 120 medical imaging competitions on Kaggle and Grand Challenge between 2017 and 2022. We show that platforms as well as competition organisers shape power relations in medical AI research at the level of data and task design, model production and evaluation in several distinct ways. Taken together, because competitions play a central rol within the field, these findings highlight the impact these powerful actors ultimately have on steering medical image AI research directions as they see fit and influence the types of models that are implemented into clinical settings.
Trends and Tendencies of Uni-dimensional Poverty is not the Flip Side of Poverty
Authors: Raza Qasim , Saboor Abdul , Hameed Gulnaz , Hashmi Naimatullah
Published: April 2023

This study focused on trends and tendencies of Unidimesnional poverty in overall Pakistan, not only at the national level but also at the provincial and regional level. The FGT methodology was applied to measuring poverty by using PSLM data from 2010–11 and 2019–20. The empirical results show that, while absolute poverty has gone down over the past ten years, relative poverty has gone up in a number of places. Compared to urban areas, rural areas are more likely to see increasing rates of relative poverty. Income disparity is on the rise in the cities of Punjab and KPK compared to the countryside, and the reverse is true in Sindh and Baluchistan. In Punjab and KPK, the trend and tendencies of income inequality are greater in cities than in rural areas, whereas the opposite is true in Sindh and Baluchistan. Further, this study finds out that poverty in Pakistan is not only a monetary phenomenon but also an intellectual one. Therefore, if we focus only on the monetary side of poverty to eradicate it, it will not be possible to eradicate it by 2030, intellectual poverty is actually the flip side of poverty.
Effective management of medical technologies for a functional health system
Authors: Gorceag Gheorghe , Sontea Victor , Buzdugan Artur
Published: April 2023

Medical devices are indispensable in performing the medical services, and their importance has become a priority at the institutional level as well as at the national level. In order to assure the proper functioning of the health system, it is necessary to provide medical devices, in accordance with the latest progress of medical technologies. However, qualified human resources and the implementation of effective management are vital for qualitative, safe, and efficient medical devices.
Dealing With Missing Continuous Biomedical Data: a Data Recovery Method for Machine Learning Purposes
Authors: Iapascurta Victor
Published: April 2023

There are different approaches to dealing with missing data. A common one is by deleting observations containing such data, but it is not applicable when the volume of the data is limited. In this case, a number of methods can be applied, such as Last Observation Carried Forward and the like. But these methods are not suitable when all data for a certain parameter are missing. This paper describes a possibility of addressing this issue in the case of time series of biomedical data. Behind the method is the idea of the human body as a complex system in which various parameters are correlated and missing data can be inferred from the available data using the estimated correlation. For this, machine learning-based linear regression models are built and used to recover data describing the sepsis state. Finally, recovered data are used to create a sepsis prediction system.
Features of Application of the Experimental Stand for Reception of the New Measuring Information Concerning Morphological Signs of An Erythrocyte
Authors: Sokol Yevgen , Tomashevskyi Roman , Kolisnyk Kostyantyn , Bernadskaya Tatyana
Published: April 2023

During the research work to increase the resolution of three-dimensional image of erythrocytes to determine morphological parameters, the Laboratory of Biomedical Electronics of NTU KhPI developed and manufactured an experimental stand with better characteristics. The peculiarities of using an experimental stand for obtaining new measuring information on morphological features of erythrocytes, its design and methods of use, which allows obtaining new measuring information on geometric and morphological features of erythrocytes, with its further use to obtain new laboratory clinical features and improve diagnosing the relevant pathological processes of the patient's body.
Recent Biotechnological Approach to Genetically Determined Atrial Fibrillation
Authors: Arad Erez , Haim Lital , Guy Attia , Davidov Ilan , Sidorenko Ludmila
Published: April 2023

The most prevalent persistent arrhythmia in cardiology is atrial fibrillation. Former atrial fibrillation which appears without any underlying reason was called „lone atrial fibrillation“. Due to new biotechnological methods in electrophysiology, like mapping, unusual conducting mechanisms were stabilized. Due to new biotechnological methods of DNA analysis recently the reason is detected. This is a genetically determined atrial fibrillation. The aim of this study is to analyse what are the most common mutations which lead to atrial fibrillation. Material and methods. This is a systematic review study. The sources of information which were analysed are mostly from google scholar and web of science. From 2000 sources, several sources were filtered out by the keywords and remained 14 sources on which is based this review study. Results. More than 70 genes are recently detected which lead to atrial fibrillations. Majority of them are mutations of the genes which encode the transport proteins of the heart’s conductive system. The most common mutations that lead to genetically determined atrial fibrillation occure in KCNQ1, KCNA5 and 6q14–16. Conclusions. Before starting treatment of lone atrial fibrillation, a genetical test should be done in order to stabilize the type of the underlying mutation. This is a tactical step in taking the decision on treatment strategy by antiarrhytmic drugs or ablation. So ablatogenoics is the best solution for patients with genetically determined atrial fibrillation.
Biotechnological Tools in Genetics for Primary Prophylaxis of Essential Arterial Hypertension
Authors: Davidov Ilan , Levinberg Roee , Attia Guy , Arad Erez , Sidorenko Ludmila
Published: April 2023

Hypertension is one of the most spread cardiological diseases, due to recent biotechnological tools it is discovered that arterial hypertension is a polygenic disease. Another possible explanation might be the variety of the studied populations. The current results of genetic analyses of essential hypertension highlight the need for a more differentiated approach to the understanding of complex, polygenetic traits that implements gene-gene- and gene-environment interactions or differentiated functional testing of thoroughly phenotyped cohorts under standardised environmental conditions. The advancement of molecular genetics now permits the establishment of a connection between high blood pressure and certain traits. The aim of this work is to analyse how genetic testing for primary prophylaxis of arterial hypertension can be applied.
The choice of DVB-T2 signal transmission technology in the shadow areas of the Republic of Moldova
Authors: Iacob Mihail
Published: April 2023

This article presents the results of research into the opportunity to use Gap Fillers in the shadow areas of the first national digital terrestrial television multiplex of the Republic of Moldova. A basic condition related to the expansion of the population's access to the DVB-T2 signal in the "shadow areas" was - the use of the existing terrestrial broadcasting infrastructure. It was demonstrated that, to achieve the proposed goal, the use of Gap Fillers is not appropriate, but for the signal emission in the "shadow areas" it is necessary to use low-power DVB-T2 transmitters. In this case, the transport of the T2-MI flow to the entrance of the mentioned transmitters will be ensured by means of the existing fiber optic networks.
Analysis of Code Sequences for Multichannel Data Transmission Systems
Authors: Sestacova Tatiana , Sorochin Gherman
Published: April 2023

A comprehensive indicator of the quality of information transmission systems under the influence of interference of natural or artificial origin is noise immunity. The paper presents the results of studies on improving the noise immunity of systems through the use of broadband or noise-like signals based on Walsh functions for information transmission.
Tuning the Fuzzy Controller for Speed Control of the DC Motor
Authors: Melnic Vladimir , Cojuhari Irina
Published: April 2023

In this paper, it is developed the fuzzy controller for speed control of the DC motor. The obtained results of tuning the controller were compared with maximum stability degree method with iterations and genetic algorithm. To verify the efficiency of the developed fuzzy controller the computer simulation was done. The algorithm of tuning the fuzzy controller was designed according to the error and the rate of change of the error signal, so that performance of the closed-loop step response to be satisfied.
Decision Making System based on Collaborative Agents
Authors: Turcan Ana , Borozan Olesea , Ababii Victor , Sudacevschi Viorica , Munteanu Silvia
Published: April 2023

In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to find an optimal solution in a multi-objective space by using methods inspired by nature, especially evolutional calculus algorithms. The calculus system’s architecture consists of two sets of Agents: agents that deliver data and information, and Agents that consume it. The interconnection process between Agents is a dynamic one which evolves in time and it determines the topology of the calculus system.
A Method for Binary Quadratic Programming with Circulant Matrix
Authors: Istrati Daniela , Moraru Vasile , Zaporojan Sergiu
Published: April 2023

Binary quadratic programming is a classical combinatorial optimization problem that has many real-world applications. This paper presents a method for solving the quadratic programming problem with circulant matrix by reformulating and relaxing it into a separable optimization problem. The proposed method determines local suboptimal solutions. To solve the relaxing problem, the DCA algorithm it is proposed to calculate the solutions, in the general case, only local suboptimal.
A Brief Overview of Intelligent Interfaces in Production Systems
Authors: Istrati Daniela
Published: April 2023

This paper presents a state of the art in field of intelligent user interfaces, which are the main elements that make the interaction between humans and machines in the most efficient, natural, effective way. As an interdisciplinary product, the design of user interfaces represents the combination of models from disciplines like software engineering, artificial intelligence, human-computer interaction and other disciplines (sociology, psychology, etc.). In the process of design and operation of production systems, an important factor is its responsiveness and the ability to have integrated the capacity to change over time and functionally. To achieve a high level of structural configuration and feasibility, a production system must have a compatible interface.
Performability Modeling of Self-Adaptive Systems Based on Extension Neural Rewriting Stochastic Petri Nets
Authors: Sclifos Alexei , Sclifos Emilia , Gutuleac Emilian
Published: April 2023

Traditional mathematical formalisms are unable to model modern self-adaptive discrete event systems (ADES) because they cannot handle behaviors that change at run-time in response to environmental changes. This paper introduces a new extension of Reconfigurable Stoc-hastic reward Nets (RSRN), called Extension Neural Rewri-ting Petri Nets (ExNRPN), which enables the performability modeling and simulation of modern ADESs. ExNRPNs are obtained by incorporating in some special transitions of RSRNs an extension neural network (ENN) algorithm where the run-time calculation and reconfiguration is done in the local components, while the adaptation is performed for the whole system. The application of the proposed ExNRPN is illustrated by performability modeling a particular ADES.
Application of the Schwinger’s oscillator model of angular momentum to quantum computing
Authors: Geru Ion
Published: April 2023

The Schwinger's oscillator model of angular momentum is applied to define quantum logical elements in quantum circuits by means of wave functions of two independent harmonic oscillators. It is shown how four EPR entangled states can be determined based on this model.
Reduction programming in a technological programming environment
Authors: Redko Igor , Yahanov Petro , Zylevich Maksym
Published: April 2023

This work is aimed at demonstrating, on a representative sample, the usefulness of programming concepts in the state of semantic patterns as relations in a program chain that specify particular types of programs. This is achieved via the use of program descriptors, which act as means of translating composites and basic functions of the technological programming system into their syntactic declarations at the last step of technological programming.
Human Motion Recognition Using Artificial Intelligence Techniques
Authors: Enach Andrei , Turcu Cornel , Culea George , Banu Ioan-Viorel , Andrioaia Dragos-Alexandru , Petru Puiu-Gabriel , Popa Sorin-Eugen
Published: April 2023

The goal of this paper's research is to develop learning methods that promote the automatic analysis and interpretation of human and mime-gestural movement from various perspectives and using various data sources images, video, depth, mocap data, audio, and inertial sensors, for example. Deep neural models are used as well as supervised classification and semi-supervised feature learning modeling temporal dependencies, and their effectiveness in a set of tasks that are fundamental, such as detection, classification, and parameter estimation, is demonstrated as well as user verification. A method for identifying and classifying human actions and gestures based on utilizing multi-dimensional and multi-modal deep learning from visual signals (for example, live stream, depth, and motion - based data). A training strategy that uses, first, individual modalities must be carefully initialized, followed by gradual fusion (called ModDrop) to learn correlations between modalities while preserving the uniqueness of each modality specific representation. In addition, the suggested ModDrop training approach assures that the classifier detect has weak inputs for one or maybe more channels, enabling these to make valid predictions from any amount of data points accessible modalities. In this paper, inertial sensors (such as accelerometers and gyroscopes) embedded in mobile devices collect data are also used.
The first boundary value problem for the nonlinear equation of heat conduction with deviation of the argument
Authors: Drin Yaroslav , Drin Iryna , Drin Svitlana , Stetsko Yuriy
Published: April 2023

The initial-boundary problem for the heat conduction equation with the inversion of the argument are considered. The Green’s function of considered problem are determined. The theorem about the Poisson integral limitation is proved. The theorem declared that the Poisson integral determine the solution of the first boundary problem considered and proved.
Kolmogorov-Chaitin Algorithmic Complexity for EEG Analysis
Authors: Iapascurta Victor , Fiodorov Ion
Published: April 2023

Electroencephalography as a generally accepted method of monitoring the electrical activity of brain neurons is widely used both in diseases and in healthy conditions. The recorded electrical signal is usually obtained from several electrodes located on the scalp. While EEG recording techniques are largely standardized, the interpretation of some aspects is still an open question. There is hardly questionable progress in detecting abnormal EEG signals known as seizures. A less explored field is the detection and classification of non-pathological conditions such as emotional and other functional states of the brain. This requires special approaches and techniques that have been widely developed over the past decade. The current paper describes an attempt to use algorithmic complexity concepts and tools for EEG transformation making it possible to combine this approach and machine learning for classification purposes.
The Reliability to Gamma Radiation of Gas Sensors Based on Nanostructured ZnO:Eu
Authors: Lupan Cristian , Birnaz Adrian , Buzdugan Artur , Zimoch Lukas , Adelung Rainer , Lupan Oleg
Published: April 2023

In this work it was investigated the reliability to ionizing radiation of Eu-doped ZnO nanostructured films functionalized with Pd. Morphological, sensorial and electrical properties of sensors were studied initially, after irradiation and after 6 months to observe the influence of irradiation.
The evaluation of the on-board computer architecture for TUMnanoSAT series of nanosatellites for carrying out missions
Authors: Bostan Viorel , Martiniuc Alexei , Secrieru Nicolae , Varzaru Vladimir , Melnic Vladimir , Ilco Valentin
Published: April 2023

In this paper, a brief overview of the nanosatellite on-board computer (OBC) functions will be described. The main advantages and disadvantages of the most common OBC architecture will be explained. A set of three different architecture variants for TUMnanoSAT series of CubeSat nanosatellites is proposed and described. A feature comparison is performed in order to highlight the improvements and advantages of the proposed on-board computer architecture designs over traditional CubeSat OBC architectures.
CuO-plate decorated ZnO nanostructures and their sensing performances
Authors: Litra Dinu , Lupan Cristian , Zadorojneac Tudor , Chiriac Maxim , Depri Nadine , Lupan Oleg , Adelung Rainer , Siebert Leonard
Published: April 2023

In this paper, we report on the gas sensing properties of mixed oxide Zn-Cu nanostructures obtained by self-organized chemical deposition are presented. The nanosensors are made from individual ZnO whiskers and are coated with CuO/Cu2O. They exhibit selectivity towards H2 and NH3 over other tested gases. Measurements were made in the temperature range between 20 - 175 oC. In order to determine the crystalline phases of the studied nanostructures, XRD diffractogram was measured, and SEM images were obtained for the morphological analysis.
Algorithms of Overmodulation Regulation of Neutral Clamped Inverters for Photovoltaics
Authors: Oleschuk Valentin
Published: April 2023

This manuscript presents results of study and research of synchronous adjustment in the overmodulation control zone of three neutral-clamped inverters (NCIs) of the specific configuration of three-phase grid-connected photovoltaic system. It has been proved, that the corresponding modification of techniques and algorithms of pulsewidth modulation (PWM) for control of NCIs, assure symmetry and advanced harmonic composition of inverter-side winding voltage of multi-winding power transformer, thereby helping to reduce losses in windings of the transformer, and to improve the efficiency of photovoltaic installations.
Microprocessor Protection Relay Based on Amplitude-Phase Measurements of Signals
Authors: Jdanov Vladimir , Sestacova Tatiana
Published: April 2023

Microprocessor-based relay protection devices enable efficient operation of the electrical infrastructure of high voltage power lines and substations under emergency conditions. This is achieved by using high-speed fault detection algorithms and advanced electronic components. The paper deals with the elaboration of a such algorithm which novelty lies in the fact that it is based on amplitude-phase measurements of asymmetrical components of current and voltage signals, which detects accidents with symmetrical and asymmetric overloads significantly faster. The algorithm is implemented in microprocessor protection in the LIRA device.
Determination of the critical thickness of Nb superconducting layers coupled proximiti with Co
Authors: Boian Vladimir
Published: April 2023

Contemporary technological progress is achieving new results due to current needs in microelectronics, superconductivity and nanotechnology. An important feature of high-speed, low-power microelectronics is the spin valve, which is made up of superconducting nanoscale layers such as niobium and cobalt. These two orders superconductivity and ferromagnetism, which at first sight have diametrically opposite tangents and in the natural state are virtually never next to each other - due to the Larkin - Ovchinnikov - Fulde - Ferrell (LOFF) state, demonstrate quantum phenomena quite exciting for further development with applications in: computer technology, chemistry, biology, pharmacology, artificial intellect etc. In this context of ideas we present research on Nb/Co hybrid structures with superconducting properties and the determination of the critical thickness of the superconducting Nb layer in contact with Co.
Comprehension, Possibility and Death. The Justification of the Ontological Understanding of Death
Authors: Lozovanu Ecaterina , Perciun Andrei , Lupusor Alexandru
Published: April 2023

If death is revealed to us, in our human experience, as a certainty, one of the decisive questions of explaining our human condition aims at questioning and justifying this certainty. One of the authors who tackles this question is the German thinker, Martin Heidegger. According to him, death is understood and described, through a phenomenological and hermeneutical explanation, as an inner existential possibility as an ontological condition of the human being. This understanding has received various criticisms from contemporary philosophers. One of these belongs to Bartrand Schumacher who sustains that the only ontological understanding of existence cannot provide a certainty of its own end. In this way, Schumacher opposes an ontic meaning to the Heideggerian ontological understanding of death. In response to Schumacher’s critics we propose to look more deeply at the concept of possibility as the key-concept in the Heidegger’s ontological understanding of death.
Attribute-Based Encryption for Weighted Threshold Access Structures
Authors: Butnaru Alexandra-Ina
Published: April 2023

Access control is a fundamental security component in a system, especially in rapidly developing domains such as the cloud or the Internet of Things. The nature of these domains renders formerly acclaimed access control techniques inefficient in environments that are distributed and need highly scalable solutions. Attribute-based access control offers a multitude of advantages, especially through its cryptographic implementation, attribute-based encryption. Weighted threshold access structures are structures that closely cover real-life scenarios and have high applicability in practice as access control policies.
Prospects for improving the method of electroerosive disintegration of heavy pseudo-alloys (overview)
Authors: Chushchak S. V. , Boguslavskii L. Z. , Malyushevskaya A. P.
Published: April 2023

Modern methods of recycling scrap tungsten pseudo-alloys are considered. The improvement of the method of electroerosive dispersion of conductive granules by strengthening its electrohydraulic action for effective disintegration of tungsten pseudo-alloys into micro-components is discussed.
Features of Electrodeless Electrochemical Reactions
Authors: Rzaeva S. V.
Published: April 2023

The article deals with reactions occurring under the action of active particles formed during the flash of a corona electric discharge between a solid electrode and the surface of a liquid – electrochemical reactions without an electrode. Reactions take place in a thin surface layer of water, where there are no electrodes, so the reactions are called electrodeless. The electrodes are used only to excite the reaction zone and do not directly participate in the reaction. The oxidation of organic compounds to carbon dioxide and water occurs in an electrodeless reaction.
On the Electromagnetic Radiation Associated with Zero and First Modes of a Droplet Oscillating in an External Electrostatic Field
Authors: Grigor’ev A. I. , Kolbneva N. Yu. , Shiryaeva S. O.
Published: April 2023

The paper deals with electromagnetic radiation generated by capillary oscillations of the zero and first modes of oscillations of a droplet in an external electrostatic field. It is assumed that the droplet of an ideal incompressible electrically conductive liquid has a zero total electric charge and that it is charged in an external uniform electrostatic field by induced charges of opposite signs. The radiation under discussion is detected via analytical asymptotic calculations of the second order infinitesimal by the dimensionless amplitude of the droplet oscillations in an external electrostatic field. An analytical expression was found for the intensity of the electromagnetic radiation associated with oscillations of the zero and first modes, and the dependence of the intensity of radiation on the value of the field strength, the droplet size, and the value of the surface tension coefficient.
Influence of Liquid Composition and Discharge Energy on Process Performance, Composition, and Properties of Particles Formed During Electric Discharge Erosion of WC-5TiC-10Co Alloy
Authors: Dvornik M. , Burkov A. , Mihailenko E. , Vlasova N. , Nikolenkoa S. , Konovalova N.
Published: April 2023

Increasing the hardness and wear resistance of powder alloys and coatings through the use of ultrafine-grained powders and metastable phases is a promising way in powder metallurgy. This paper presents the results of the studies of the process of obtaining ultrafine powders by the electric discharge erosion of the cemented carbide waste WC-5TiC-10Co on a special installation. An empirical model that describes the dependence of the productivity of the process on the discharge energy and properties of the liquid is provided. The dependence of the chemical and phase compositions of the obtained powder on the composition of the used liquid and specific energy consumption has been investigated. The effect of the discharge energy on the morphological composition and average particle diameter has been examined. It is revealed that the formation of a metastable solid solution (W, Ti)C and a decrease in the concentration of cobalt induce an increase in the hardness of the resulting spherical particles from 1410HV0.05 to 2540HV0.05.
Influence of Heteronuclear Salicylate Complex {[FeSr2(SalH)2(Sal)2(NO3)(DМА)4]}n on Corrosion of St.3 Steel in Water
Authors: Parshutin V. V. , Koval A. V. , Gorinchoi V. V. , Lozan V. I.
Published: April 2023

The corrosion process of St.3 steel in water with the addition of a heteronuclear salicylate complex {[FeSr2(SalH)2(Sal)2(NO3)(DМА)4]}n has been investigated by gravimetric, electrochemical, physical, and chemical methods (by the X-ray phase analysis, UV/Vis-, IR- and Mössbauer spectroscopy). It is shown that introduction of the studied additive in the corrosive medium reduces steel corrosion significantly. The corrosion rate decreased by 5.1–11.1 times at the degree of protection of 80.5–91.0%, depending on the time of tests and inhibitor concentrations. The inhibition mechanism is offered. The inclusion of products of interaction of the ionized iron with the complex in the cover layers is proved.
Application of optical emission spectroscopy to predict the composition of films during reactive magnetron sputtering of Ti-Al composite targets
Authors: Doan H. T. , Golosov D. A. , Zhang J. , Mel’nikov S. N. , Zavadskii S. M.
Published: April 2023

The processes of reactive magnetron sputtering of Ti-Al composite targets with different Al/Ti ratios have been studied. The dependences of the deposition rate, discharge voltage, elemental composition, and intensity of the control lines of optical plasma radiation on the oxygen concentration in the Ar/O2 gas mixture are established. It is shown that during reactive sputtering of Ti-Al composite targets, the discharge voltage is determined by the effective ion-induced secondary electron emission coefficient (SEEC) which depends on the area occupied by metals on the target, the degree of their oxidation, and the SEEC of these metals and their oxides. The rate of the deposition of TixAl1-xOy films in the metallic and transition sputtering modes increases proportional to the concentration of Al in the target, but the relative concentration of metals in the deposited films depends on the oxygen concentration in the Ar/O2 gas mixture and is determined by the reactivity of the target materials. It has been shown by optical emission spectroscopy (OES) that the ratio of the atomic concentrations of Al and Ti in deposited TixAl1-xOy films unambiguously depends on the ratio of the intensity of the control optical lines of aluminum AlI and titanium TiI in plasma. This makes it possible to use the OES method to predict the content of metals in a film during reactive magnetron sputtering of Ti-Al targets.
Evaluation of Plasmid Mediated Drugs Resistance among Wound Bacterial Infection Obtained from Patients Attending some Hospitals in Kano State, Nigeria
Authors: Y.A. Muhammad , M. Yusha’u , A.S. Ado , H.H. Babaji , A. Ibrahim , S.U. Yakubu
Published: April 2023

This study was carried out to evaluate the plasmid mediated drugs resistance among wound bacteria isolates obtained from (352 swabs specimens) patients attending some hospitals in Kano State (National Orthopaedic Hospital Dala, Aminu Kano Teaching Hospital, Infectious Diseases Hospital, Bichi General Hospital and Wudil General Hospital). Swab specimens were obtained aseptically using the randomized sampling method and cultured on Blood and MacConkey agar media and incubated aerobically and anaerobically for 24 hours. Result showed that two hundred and twelve (212, 60.23%) out of 352 harbors some bacteria, which consist of six different species (Pseudomonas aeruginosa, Escherichia coli, Proteus mirabilis, Klebsiella pneumoniae, Staphylococcus aureus and Streptocoocus pyogenes) as isolated from wound swabs specimens. S. aureus (39%) and S. pyogenes (7%) showed the highest and the lowest prevalences respectively. Antibiotic susceptibility testing was done using the Kirby-Bauer disk diffusion technique on Mueller-Hinton agar, where 140 (66%) isolates were susceptible while 72 (34%) isolates were resistant. Bacteria isolates exhibited the highest resistance to Cefixime, Azithromycin and Erythromycin and least resistance to Ciprofloxacin (most effective/active) among the antibiotics used. The resistant isolates were subjected to curing experiment. Plasmid detection and isolation showed that out of 72 resistant isolates, 49 contain plasmids which accounts for 68%. After plasmid curing and second sensitivity test, 38 (78%) isolates that were initially resistant becomesusceptible to the same antibiotics used. Hence, post plasmid-curing sensitivity test revealed increased susceptibility pattern of isolates to the previously used antibiotics. This indicates that plasmid-borne multidrug resistant gene had been denatured by the sodium dodecyl sulfate used as the curing agent. Therefore, this study justifies the need to encourage infection control, and proper treatment to prevent the spread and re-emergence of plasmid-mediated drugs resistant bacteria.
Workers’ Participation and Planning for an Injury Free Workplace Across Manufacturing Companies in Niger Delta
Authors: M.O. Avwata , N.J. Ugbebor , P. Chinemerem
Published: April 2023

This study examined the extent of workers participation and planning for an injury free workplace across manufacturing companies in Niger Delta. Descriptive research design was adopted for the study. The population for this study comprised nine (9) manufacturing firms—one from each of the Niger Delta's states, Akwa Ibom, Bayelsa, Delta, Edo, Cross River, Imo, Rivers, and Ondo were selected for the research. By using the Taro Yamane formula, the sample size of 325 employees was utilized for the study. The instrument for data collection was a structured questionnaire titled, Workers Participation and Planning for an Injury Free Workplace across Manufacturing Companies Questionnaire. Mean and standard deviation were used to answer the research questions, while a Pearson Product Moment Correlation coefficient was used to test the hypotheses at 0.05 alpha level of significance. Findings from the study showed that there is a very significant positive association between worker engagement and safety performance [(P =.000) p=0.05] amongst others. The study unequivocally established that poor organizational culture, low employee competency levels, lack of communication, ineffective leadership, and literacy/language barriers were the main obstacles to effective worker participation in SMS implementation across Niger Delta manufacturing companies.
Factors Affecting Quality Documentation in Labour among Midwives at Kenyatta National Hospital
Authors: M.C. Ndunge , C.J. Jebet , M.G. Irene
Published: April 2023

Background Information: Midwives have posed varying knowledge and practice levels of quality midwifery documentation due to a number of factors. Quality midwifery documentation shows care given to two lives whose interests could be in conflict. Objective: The study sought to determine the factors affecting the quality of documentation in labour among midwives at Kenyatta National Hospital labour ward. Methodology: This was a descriptive cross-sectional study among 51 consenting midwives selected using a simple random sampling technique. Data was collected using a self-administered structured questionnaire. Ethical approval was sought. Results: Most of the midwives demonstrated excellent knowledge on quality midwifery documentation. However, only 51% practised quality midwifery documentation with 21.4% making entries ahead of time, 17.4% documenting for colleagues and 13.7% documenting only normal labour. This was attributed to insufficient time (86.3%), high patient-to-midwife ratio (92.2%) and understaffing (86.3%). In conclusion, several factors affected the quality of documentation among midwives.
A Comparative Approach on Bridge and Elastic Net Regressions
Authors: K.P. Enwere , U.P. Ogoke
Published: April 2023

Machine Learning techniques such as Regression have been developed to investigate associations between risk factor and disease in multivariable analysis. However, multicollinearity amongst explanatory variables becomes a problem which makes interpretation more difficult and degrade the predictability of the model. This study compared Bridge and Elastic Net regressions in handling multicollinearity in multivariable analysis. Wisconsin Diagnostic Breast Cancer data was used for comparison for model fit and in handling multicollinearity between the regression techniques. Comparison were made using MSE, RMSE, R^2, VIF, AIC and BIC for efficiency. Scatter plots was employed to show fitted regression models. The results from the study show that, the Bridge regression performed better in solving the problem of multicollinearity with VIF value of 1.182296 when 𝛾 = 2 compared to Elastic Net regression with a VIF value of 1.204298 respectively. In comparison for best model fit, Bridge regression with 𝛾 = 0.5 performed better with MSE of 11.58667, AIC value of 258.9855 and BIC of 277.2217 respectively. Consequently, we can conclude that both the Bridge and Elastic Net Regressions can be used in handling multicollinearity problems that exist in multivariable regression analysis. Information on machine learning such as this, can help those in the medical fields to improve diagnosis, narrow clinical trials and biopsy to proffer effective treatment.
NON-SURGICAL TREATMENT OF PERI-IMPLANTITIS: CASE REPORT
Authors:   Department of Periodontology, Faculty of Dental Medicine, Medical University - Sofia, Bulgaria., Maynalovska Hristina , Popova Christina ,   Department of Periodontology, Faculty of Dental Medicine, Medical University - Sofia, Bulgaria., Mlachkova Antoaneta ,   Department of Periodontology, Faculty of Dental Medicine, Medical University - Sofia, Bulgaria.
Published: April 2023

Background: Dental implants are an effective, reliable and widely implemented clinical treatment option for the replacement of missing teeth. But although showing predictable successful outcomes, problems are not rare, and nowadays intensively are discussed the related biological complications. And while peri-implant diseases are becoming frequent health issues in dental offices, commonly accepted and applied treatment protocols are still missing. Materials and methods: In this article, we present a case of acute peri-implantitis. A male patient, 50 years old, systemically healthy and non-smoker, complained of pain, oedema and bleeding in the site of an implant placed 5 years ago. The clinical evaluation revealed red and swollen mucous and the presence of a peri-implant abscess. After probing, extensive bleeding and suppuration were observed. The probing depth on the distal site of 4.5 implant was 7mm and the X-ray evaluation showed significant bone loss at this site. The case was resolved completely with non-surgical mechanical debridement combined with systemic antibiotic therapy and subsequent regular peri-implant maintenance therapy. Results: The case demonstrates satisfactory results with a gain of radiographic bone level as it is seen on the X ray imaging, comparing the initial bone level and the bone level 6 months after active treatment. Resolution of peri-implant soft tissue inflammation (no bleeding on probing, no suppuration) is also observed. Conclusion: Non-surgical therapy of peri-implantitis is effective in arresting progressive bone loss and can achieve radiographic bone fill.
Recent advances in machine learning algorithms for sintering processes
Authors: Azizi Shahla
Published: April 2023

Machine learning (ML) is a fast-growing field that has vast applications in different areas and sintering has had no exemption from that. In this paper, the application of ML methods in sintering of the various materials has been reviewed. Based on our review, it was used to optimize the sintering process and improve the characteristics of the final product. For instance, a supervised learning algorithm was used to predict the temperature and time based on the raw material properties and the desired properties of the final product in sintering. Among all ML methods, k-nearest neighbor (k-NN), random forest (RF), support vector machine (SVM), regression analysis (RA), and artificial neural networks (ANN) had great applications in the sintering field. There are a limited number of papers that used deep learning in sintering. In conclusion, ML methods can be used to optimize sintering process in energy, cost and time.
Uzaktan ve Yüz yüze Eğitim Alan Hemşirelik Bölümü Öğrencilerinde Sağlık Algısı ve Covid-19 Korkusu İlişkisi
Authors: EFTELİ Elçin
Published: April 2023

Amaç: Uzaktan ve yüz yüze eğitim alan hemşirelik öğrencilerinin sağlık algıları ve covid-19 korkusu arasındaki ilişkinin belirlenmesidir. Gereç ve Yöntem: Araştırma; Burdur Mehmet Akif Ersoy Üniversitesi Sağlık Bilimleri Fakültesi Hemşirelik Bölümünde 2020-2021 Eğitim Öğretim yılında uzaktan ve yüz yüze eğitim alan 186 öğrenci ile yürütülmüştür. Verilerin toplanmasında; ‘Sağlık Algısı Ölçeği’ ve ‘Covid-19 Korkusu Ölçeği’ kullanılmıştır. Verilerin değerlendirilmesinde, sayı, yüzde, aritmetik ortalama, Independent sample t testi ve Anova testi kullanılmış ve korelasyon analizi yapılmıştır. Bulgular: Öğrencilerin Covid-19 korkusu ölçeği toplam puan ortalamaları 20,47± 6,63’tür. Eğitim şekline göre toplam puan ortalamaları değerlendirildiğinde; Yüz yüze eğitim alan grupta 21,39±6,85, uzaktan eğitim alan grupta 18,94±5,98’dir. Öğrencilerin Sağlık algısı ölçeği toplam puan ortalamaları 51,98±7,15’tir. Eğitim şekline göre toplam puan ortalamaları değerlendirildiğinde; yüz yüze eğitim alan grupta 50,70±6,94, uzaktan eğitim alan grupta ise 54,11±7,03’tür. Öğrencilerin sağlık algıları ile Covid-19 kaynaklı korku düzeyleri arasında negatif yönde, çok zayıf bir ilişki olduğu belirlendi (r= -0,08, p=0,23). Sonuç: Uzaktan eğitim gören öğrencilerin sağlık algıları daha yüksek ve korku düzeyleri ise daha düşüktür.
Changes in the Experience of Stuttering Following Intensive Prolonged Speech and Non-Avoidance Treatments
Authors:   Medical University of Plovdiv, Georgieva Dobrinka , Yaruss J Scott ,   Michigan State University, Stoylova Rositsa
Published: April 2023

Purpose: The main purpose of this study is to apply a multidimensional comprehensive instrument to evaluate the overall impact of stuttering (OASES-A) from the perspective of adults who stutter (AWS) who completed one of two intensive stuttering therapies: The La Trobe prolonged speech program and Van Riper’s non avoidance approach. Methods: The OASES-A was applied to evaluate participants’perceptions of their experience of stuttering with the specific aim of compare the changes in the experience of stuttering following two intensive treatments. An essential element in post-treatment evaluation are changes in the speaker’s self reported quality of life. Results: OASES-A group results regarding the La Trobe and Van Riper intensive treatment outcomes show positive changes in stuttering experience for 27 AWS in four sections: 1) general information on stuttering; 2) reactions to stuttering; 3) communication in daily situations; and 4) quality of life. Conclusions: The article represents the first English-language documentation of the Bulgarian results of OASES-A application of previously conducted intensive treatments. OASES-A outcomes show significantly greater overall improvement and changes in the four sections that relate to the experience of stuttering following two intensive treatments. As a research-based instrument for assessment of quality of life in AWS, the OASES-A was easy to administer and analyze. The OASES-A describes in substantial detail the experience and influence that stuttering exerts on quality of life from the client’s perspective. Its application was preferred because it assists speech-language pathology Master’s degree students to recognize the speech needs, abilities, preferences, and interests of AWS.
Didactic Exercises for Teaching and Learning Spanish for Specific Purposes in the Field of Ichthyology
Authors:   Sofia University “St. Kliment Ohridski”, Pavlov Michal
Published: April 2023

The aim of this article is to present the contemporary perspectives of the methodology of language teaching through the prism of didactic exercises for teaching and learning ichthyological Spanish. It outlines the main criteria for the selection and classification of didactic tasks with regard to response options, mode of execution, achievement of objectives, duration, etc. An example exercise illustrating and describing the theoretical concepts described is presented and analysed in detail.
Quality of Machinery and Equipment Provides a Strategy for the Breakthrough in Mechanical Engineering
Authors:   Bauman Moscow State Technical University, Moscow, Russia, Ivanovich Kushnarev Leonid , Leonidovich Kushnarev Sergey ,   Bauman Moscow State Technical University, Moscow, Russia
Published: April 2023

The possibilities of solving the problems formed in modern engineering in Russia, associated with the low competitiveness of domestic technology, are investigated. Organizational, technological and economic solutions have been proposed that will accelerate the improvement of product quality and the expansion of production volumes in accordance with the requirements of technological modernization of the country's economy. At the core of these decisions there is the organization of large machine-building companies and complexes capable of raising the quality of mechanical engineering products to the level of the world's best analogues at all stages of the machines’ life cycle, as well as the reasonable choice of the areas of diversification and technological modernization of production, the organization of branded engineering and technical support for manufactured machines and equipment.