bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new full-duplex analog RoF transmission system for 5G/5G+ broadband mobile communication
Authors: Belkacem Anes , Borsali Ahmed Riad 
Published: March 2023

AbstractA new cost-effective mobile fronthaul architecture has been proposed by designing promising analog radio over fiber (ARoF) transmission system compliant with the next generation ultra-dense wavelength division multiplexing passive optical network (UDWDM-PON). It is conceived for standalone 5G/5G+ mobile communication systems driven by broadband multi-input multi-output (MIMO) millimeter wave data signals using two high spectral efficient modulations. The feasibility of the proposed system was firstly proven in terms of spectral tracing supported by theoretical analysis that disclosed good agreement. Furthermore, the obtained simulation results regarding the system performance evaluation after 22 km bidirectional optical fiber links were revealed high reliable characteristics including error-free transmissions at low receiver sensitivities, and measured power penalties less than 1 dB. In addition, the recovered eye diagrams maintained wide openings with high-quality patterns.
A flexible approach for biometric menagerie on user classification of keystroke data
Authors: Özbek Mehmet Erdal 
Published: March 2023

AbstractBiometric systems aim to provide reliable authentication and verification of users. The behaviour of the users may alter the authentication performance when accessing these systems. Therefore, clustering users based on their actions is crucial. A biometric menagerie defines and labels user groups statistically according to their variability. However, determining groups is a fuzzy process and it may lead to inconsistencies. In this work, a novel and flexible approach is introduced based on the classification performance of the users data collected in a database without imposing any other restrictions. According to the performance measures obtained from the confusion matrix of the classification algorithms, users are ranked and then clustered. Additionally, the norm of a confusion matrix is offered augmenting the state-of-the-art performance metrics. The proposed scheme is evaluated using the behavioural biometrics modality on two benchmark keystroke databases. The performance results successfully illustrate the alternative way of grouping and identification of users sharing the same behaviour irrespective of the chosen classifiers or performance metrics.
Indicator of the influence of a geomagnetic storm on the transmission electric system
Authors: Mayer Daniel , Stork Milan 
Published: March 2023

Abstract
Magnetic storms are severe disorders in the Earth’s magnetosphere caused by enormous solar activity. The magnetic storm induces a quasi-stationary geomagnetic current (GIC) in the wires of the very high voltage (VHV) lines. These currents cause the current and thus thermal overload of the VHV part of the transmission lines, especially the transformers of the system. In the submitted article described by a device that indicates these effects of magnetic storms on the transmission system and allows it to carry out its safe operation. The indicator is located on the VHV wire of the bundle conductor. Using the Hall probe, it senses the magnetic field of the current in the line. With a digital frequency low-pas filter removes the ac component of the indicated current and information about its dc component, ie about the GIC, wireless transmission to the workplace of the system operator. This will then instruct the transmission system protective regime.
The Influence of Strategic Marketing Decisions on Customer Purchasing Decisions for Green Products
Authors: AGHAYEV Mirjalal , ISRAFILZADE Khalil 
Published: March 2023

Abstract
Nationally and internationally, indiscriminate consumption patterns have caused significant problems, requiring an increase in customer purchasing intentions and attitudes toward choosing green products. This article aims to identify the strategic marketing decisions that influence positive customer purchase intentions toward green products. It covers the research problem of distinguishing the impact of strategic marketing decisions on increasing a customer’s favourable purchasing intentions toward green products. Data is collected for this purpose using the survey approach, which involves distributing a well-designed questionnaire to individuals. According to the findings of this study, there is a positive correlation between the variables of environmental awareness, environmental preferences, green brand image, and green product loyalty with customer purchase intentions. Nevertheless, environmental preferences and green brand image are significant in relation to customers’ intention to purchase green items.
Different Generations’ Expectations of Happiness at Work: The Case of Lithuania
Authors: BAKANAUSKIENĖ Irena , ZAGURSKYTĖ Gustė 
Published: March 2023

Abstract
This article presents a study that aimes to determine which attributes of happiness at work are the most important for Generations X, Y and Z in Lithuania. The results of research disclosed the differences and similarities in prioritising the attributes of happiness at work of different generations.
The Impact of Household Wealth and Other Factors on Retirement Saving Behaviour in an Ageing Society: The Case of Lithuania
Authors: BLAŽIENĖ Inga 
Published: March 2023

Abstract
The main aim of the paper is to analyse the impact of household wealth (real estate, financial and other assets), income, age, education and gender on the saving for retirement behaviour of Lithuanian households. The wealth of households is one of the possible guarantees to ensure welfare in old age or another “force majeure” situation. Both non-financial and financial assets can be the saving instruments or factors influencing saving behaviour. The paper presents how much and what kind of assets Lithuanian households have accumulated and what level of income and financial ability to save they have. The research is based on the data from the Household Finance and Consumption Survey (HFCS). Data analysis reveals income and education is the most influential factors of retirement saving behaviour, households’ wealth has a positive and negative impact on retirement saving behaviour.
Drivers Fostering Citizens to Participate in Co-Creation Process for Public Service Quality
Authors: GARDZIULEVIČIENĖ Laura , RAIŠYS Simonas Juozapas , RAIŠIENĖ Agota Giedrė 
Published: March 2023

Abstract
The involvement of citizens in the co-creation of public services increases the satisfaction of service users with the quality of services. Therefore, it is relevant to accumulate and update knowledge about what premises and preconditions encourage the participation of members of society in co-creative processes. A systematic review of the scientific literature showed that factors such as trust, volunteering, innovation, and user satisfaction with services are the most important in the context of co-creation. Based on the research, it is concluded that co-creation processes would be more successful if citizens and other interested parties participate in decision-making process. This would help ensure the transparency, flexibility, reliability, and openness of decisions, improve the perceived quality of public services by users and achieve a more active interest of citizens in co-creation in general.
Religion and Cult Elements Integration in Marketing Activities Guide
Authors: KISIELIAUSKAS Justinas , MILERYTĖ Monika 
Published: March 2023

Abstract
The aim of this article is to analyse the phenomenon of cult and religion and to make research allowing to create a guide of cult and religion elements integration into marketing activities. Based on the theoretical and empirical analysis, a guide presenting the integration possibilities of religion and cult elements into marketing has been developed. An analysis of the literature and research has revealed that the integration of most religious elements in marketing can help strengthen a brand’s position in the market, establish an emotional connection with consumers and consequently strengthen their loyalty.
Optimization of Support Vector Machines for Prediction of Parkinson’s Disease
Authors: Özseven Turgut , Özkorucu Zübeyir Şükrü 
Published: March 2023

AbstractAs in all fields, technological developments have started to be used in the field of medical diagnosis, and computer-aided diagnosis systems have started to assist physicians in their diagnosis. The success of computer-aided diagnosis methods depends on the method used; dataset, pre-processing, post-processing, etc. differ according to the processes. In this study, parameter optimization of support vector machines was performed with four different methods currently used in the literature to assist the physician in diagnosis. The success of each method was tested on two different Parkinson’s datasets and the results were compared within themselves and with the literature. According to the results obtained, the highest accuracy rates vary depending on the dataset and optimization method. While Improved Chaotic Particle Swarm Optimization achieved high success in the first dataset, Bat Algorithm achieved higher success in the other dataset. While the successful results obtained are better than some studies in the literature, they are at a level that can compete with some studies.
A Novel Non-Contact Measurement Method of Ball Screw Thread Profile Detection Based on Machine Vision
Authors: Miao Bing-yi , Wang Xian-cheng , Chen Jun-hua , Jiang Chu-hua , Qu Meng-yao 
Published: March 2023

Abstract
The transmission accuracy of the ball screw depends on the processing quality of the thread profile. Traditional detection method of thread profile is complicated and inefficient. When shooting the thread profile of the ball screw in the normal section, the camera axis must be tilted to the lead angle, and adjustment errors are easily introduced from both the front view and the top view. When shooting in the axial section, the spiral lines block each other, so the actual thread profile cannot be captured for detection. In order to solve the above problems, a thread profile detection method is proposed: the theoretical equation of the ball screw thread profile in the axial section is derived based on the theoretical thread profile in the normal section, and the theoretical equation of the thread profile projection curve in the axial section is solved based on helix analysis, and the differential equation between them is obtained; then, the theoretical correction value of the thread profile projection curve is obtained by Linear Search to find the boundary value; the actual thread profile in both axial section and normal section is finally obtained with the theoretical correction value, which can support accurate measurement and detection of the key parameters of the thread profile. Experiments show that the proposed method can effectively improve the accuracy of the ball screw thread profile detection.
Discovering Success Factors in the Pioneering Stage of a Digital Startup
Authors: BINOWO Kenedi , HIDAYANTO Achmad Nizar 
Published: March 2023

Abstract

Background and Purpose: Successful digital startups can generate income for the country and improve people’s lives. However, for prospective founders who will launch their startups, the success factor in pioneering digital startups remains unknown. The purpose of this study is to identify key success factors for digital startups in pioneering stages.

Methodology: Thematic analysis is a method for identifying success factors in pioneering stage digital startups. The data will be collected from the interviews of ten startup founders.

Results: The findings show that fifteen critical factors are success factors in the digital startup pioneering stage, namely; problems, business ideas, teams, business models, capital or funding, products, incubators, validation, competitors, marketing, mastery of technology, market analysis, founders and co-founders, partners, and passion. These findings are expected to be ground-breaking for anyone interested in launching a digital startup.

Conclusion: The first conclusion that we can draw is that there are fifteen important factors that can be claimed and used as success factors in the classification of the digital startup pioneering stage. The second conclusion, based on the findings of the ten founders’ analyses, is that problem factors and team factors are two of the fifteen most dominant and influential digital startup success factors. Problem factor is critical for detecting problems encountered by many people and can motivate digital startup founders to develop solutions to these problems. While team factor is important because with a team, all problems raised are quickly and easily resolved, and all work is handled productively and collaboratively.
Intergenerational Differences and Knowledge Transfer Among Slovenian Engineers
Authors: LUŽAR Magda , ZORAN Annmarie GORENC , MARKIČ Mirko , BUKOVEC Boris 
Published: March 2023

Abstract

Background and Purpose: The study investigated the impact of intergenerational differences on knowledge transfer among engineers in large Slovenian production organizations.

Method: Using the Delphi method, experts answered open-ended questions. The process concluded with a consensus reached in the third round. The resulting questionnaire was then administered to engineers of all ages working in large production organizations.

Results: The experts’ responses indicated that intergenerational differences are most prominent in the workplace in terms of computer literacy and the use of information and communications technology. Effective employee engagement, including exemplary leadership, a system of mentoring and reverse mentoring, and a supportive organizational culture, was found to enhance the flow of knowledge transfer. Statistical analysis revealed that there are statistically significance intergenerational differences in knowledge transfer among engineers in large production organizations (p < 0.001).

Conclusion: The study’s findings suggest that recognizing intergenerational differences and fostering the abilities of employees can contribute to organizational success. However, the study is limited to engineers in large production organizations in Slovenia. Future research should explore organizations in a wider geographical area and across different sectors.
Emmanuel Levinas : Ideen I En Tant Qu’invitation au Travail1
Authors: López Sáenz Maria Carmen 
Published: March 2023

Abstract
This work starts by unfolding Levinas’ legacy from Bergson to phenomenology. Particularly, the article explores how Levinas deeply understood the meaning of Husserl’s transcendental idealism of Ideas I. He adheres to Husserl’s re(con)duction to the transcendental, understood by Levinas as the sense of existence overlooked by the naturalist ontology. Finally, it develops the Levinasian continuation of genetic phenomenology and its conclusion, that is, the irreducibility of ethical responsibility.
Anéantissement du Monde et Expérience Psychotique de Fin du Monde
Authors: De Gandt François 
Published: March 2023

Abstract
An attempt to bring Husserl’s phenomenology and psychopathology closer, based on the text of § 49 of the Ideen. What is an experience of annihilation of the world? How is a world undone? We will focus on the examples of the end of the world described in the stories of Gérard de Nerval and in the patients of Wolfgang Blankenburg.
Irreducibility and Multiplicative Composition of Polynomials Over Finite Fields
Authors: Benferhat Leila , Kihel Omar , Larone Jesse , Mohamed Rezki Ould 
Published: March 2023

Abstract
The aim of this paper is to provide integral polynomials irreducible over ℤ which are reducible over 𝔽
p
for every prime p. In particular, we show that certain composed products of integral polynomials are reducible modulo p for all primes p.
Integral Bases and Monogenity of Pure Number Fields with Non-Square Free Parameters up to Degree 9
Authors: El Fadil Lhoussain , Gaál István 
Published: March 2023

Abstract
Let K be a pure number field generated by a root α of a monic irreducible polynomial f (x)= xn
− m with m a rational integer and 3 ≤
n ≤ 9 an integer. In this paper, we calculate an integral basis of ℤ
K
, and we study the monogenity of K, extending former results to the case when m is not necessarily square-free. Collecting and completing the corresponding results in this more general case, our purpose is to provide a parallel to [Gaál, I.—Remete, L.: Power integral bases and monogenity of pure fields,J.Number Theory, 173 (2017), 129–146], where only square-free values of m were considered.
On The Geometric Determination of Extensions of Non-Archimedean Absolute Values
Authors: Faris Mohamed , El Fadil Lhoussain 
Published: March 2023

Abstract
Let | | be a discrete non-archimedean absolute value of a field K with valuation ring 𝒪, maximal ideal 𝓜 and residue field 𝔽 = 𝒪/𝓜. Let L be a simple finite extension of K generated by a root α of a monic irreducible polynomial F ∈ O[x]. Assume that

F

¯

=

ϕ

¯

l

$\overline F = \overline \varphi ^l$

in 𝔽[x] for some monic polynomial φ ∈ O[x] whose reduction modulo 𝓜 is irreducible, the φ-Newton polygon

N

φ

¯

(
F
)

$N\overline \phi \left( F \right)$

has a single side of negative slope λ, and the residual polynomial R
λ(F )(y) has no multiple factors in 𝔽
φ
[y]. In this paper, we describe all absolute values of L extending | |. The problem is classical but our approach uses new ideas. Some useful remarks and computational examples are given to highlight some improvements due to our results.
ОСНОВНЫЕ НАПРАВЛЕНИЯ РАЗВИТИЯ ГИДРОБИОЛОГИИ
Authors: Зинченко Т.Д. , Розенберг Г.С. 
Published: March 2023

В предлагаемом в качестве основы для научной дискуссии адаптированном варианте одной из глав монографии Т.Д. Зинченко и Г.С. Розенберга «Гидробиология 20-х годов XX века (ретрохроника)» рассмотрены некоторые направления развития современной гидробиологии, обсуждены проблемы общей (системной, продукционной, этологической гидробиологии, палеогидробиологии) и частной гидробиологии (санитарной, медицинской, токсикологической, радиологической, сельскохозяйственной, рыбохозяйственной, технической, космической), гидробиологического образования. Отмечена необходимость продолжения процесса ее «экологизации», совершенствования научных основ комплексной эксплуатации водных объектов.
Análisis del impacto de un programa formativo STEM en los modelos mentales y la actitud de docentes en formación
Authors: García-Yeguas Araceli , Arias Mª Dolores , González-García Francisco , Aguilera Morales David 
Published: March 2023

La educación STEM cada vez produce más interés en el ámbito educativo. En la literatura podemos encontrar distintas definiciones, haciendo que su comprensión pueda resultar dispersa. En este trabajo analizamos la actitud de los docentes hacia este enfoque educativo y el modelo mental que conciben sobre STEM antes y después de vivenciar un programa formativo STEM. La muestra está compuesta por docentes del Grado de Educación Primaria en formación de la Universidad de Granada. Para conocer la actitud hacia STEM se ha usado el cuestionario TatSTEM con un pretest y un postest. Para analizar los modelos conceptuales se ha usado la clasificación “STEM como acrónimo”, “Resolución de problemas de la vida real como contexto”, “Ciencia como contexto”, “STEM como disciplinas separadas”, “Disciplinas integradas” e “Ingeniería como contexto”. Los resultados muestran una mejora en la actitud hacia STEM tras la formación propuesta. Por otro lado, los modelos STEM han evolucionado desde modelos más simplista a modelos más complejos, produciendo un gran cambio respecto a STEM como disciplinas integradas.
FEATURES OF MUTATION DETECTION IN LONG-READ WHOLE GENOME SEQUENCING DATA
Authors: Кечин А.А. , Корюков М.А. , Боробова В.С. , Филипенко М.Л. 
Published: March 2023

Технологии секвенирования третьего поколения позволяют идентифицировать не только точечные и короткие мутации, но и протяженные перестройки. В результате генерируется огромное количество данных, которое анализируется при помощи различных методов, в том числе машинного обучения. Целью работы стала отработка подходов к выявлению различных мутаций в данных полногеномного секвенирования технологией Oxford Nanopore. В результате были подобраны оптимальные параметры для BWA и minimap2 (картирование), Pisces (точечные мутации), Sniffles и Nanovar (крупные перестройки), а также сконструированы праймеры для валидации некоторых крупных перестроек.
Third-generation sequencing technologies make it possible to identify not only point and short mutations, but also large rearrangements. Therefore, a huge amount of data is generated, which is analyzed using various methods, including machine learning. The aim of the study was to develop approaches to identifying various mutations in Oxford Nanopore sequencing data. As a result, optimal parameters were selected for BWA and minimap2 (mapping), Pisces (point mutations), Sniffles and Nanovar (large rearrangements), and primers were designed to validate some large rearrangements.
DIGITAL MODELS OF QUARRY EXVAVATORS WORKLOADING FOR INFORMATION SUPPORT OF EQUIPMENT PARK EXPLOITATION
Authors: Доронин С.В. , Альшанская А.А. 
Published: March 2023

Рассматривается возможность использования построенных цифровых моделей нагруженности карьерных экскаваторов в информационно-вычислительных системах управления парком технологического оборудования горных предприятий. Обсуждаются перспективы и целесообразность создания и применения цифровых двойников карьерных экскаваторов.
The possibility of using the developed digital models of quarry shovels workloading in information and computing systems for managing the park of technological equipment of mining enterprises is considered. The prospects and feasibility of creating and using digital twins of quarry excavators are discussed.
ON THE RELATIONS IN SCIENCE BY THE EXAMPLE OF THE ANALYSIS OF DISSERTATIONS
Authors: Леонова Ю.В. 
Published: March 2023

С использованием базы данных авторефератов диссертаций была проанализирована динамика развития связей между персонами, выступающими в качестве соискателей и научных руководителей (консультантов) диссертаций с целью изучения структуры научных связей ученого (научное окружение ученого), структуры и динамики развития научных коллективов и научных школ.
Using the database of dissertation abstracts, the dynamics of the development of relations between persons acting as applicants and scientific supervisors (consultants) of dissertations was analyzed in order to study the structure of scientific relations of a scientist (scientific environment of a scientist), the structure and dynamics of the development of research teams and scientific schools.