bluuebunny/crossref_metadata_2025_split huggingface dataset:
MOTIVASI BELAJAR PESERTA DIDIK PADA PEMBELAJARAN PJOK SECARA DARING PADA KELAS VIII SMP NEGERI 3 SUKASADA
Authors: Zain Ahmad Faruq , Adi I Putu Panca , Dartini Ni Putu Dwi 
Published: June 2022

Penelitian ini bertujuan untuk mengetahui Motivasi belajar peserta didik pada pembelajaran PJOK secara daring pada kelas VIII SMP Negeri 3 Sukasada. Penelitian ini termasuk kedalam jenis penelitian deskriptif kuantitatif dengan metode survei. Populasi dalam penelitian ini adalah seluruh peserta didik kelas VIII SMP Negeri 3 Sukasada, dengan jumlah 123 orang dimana kelas tersebut dipilih secara random sampling. Hasil penelitian ini adalah sebagai berikut. sebanyak 0 orang peserta didik memiliki motivasi sangat tinggi, 58% peserta didik memiliki motivasi tinggi, 42% peserta didik memiliki motivasi sedang, sedangkan tidak ada peserta didik yang memiliki motivasi rendah motivasi yang sangat rendah. Maka dari itu simpulan dari motivasi belajar peserta didik pada pembelajaran Pendidikan Jasmani, Olahraga dan Kesehatan (PJOK) secara daring di SMP Negeri 3 Sukasada adalah tinggi.
“The Famous Collector of Russian Lands”: the Image of the Empress Catherine II in the Conservative Journalism of the Second Half of the 19th Century (On the Basis of the “Russian Vestnik” Magazine Materials)
Authors: Elena Perevalova 
Published: June 2022

This article examines the publications of the “Russky Vestnik” journal – the leading organ of the Russian conservative press of the second half of the 19th century, devoted to the Empress Catherine II and her reign. On the basis of the analysis of the insufficiently studied speeches of P.K. Shchebalsky, E.M. Feoktistov, A.G. Brickner, A.N. Kulomzin, A.D. Gradovsky, F.A. Buhler, A.N. Mosolov, P.B. Blank, etc., the article author shows that the state strategy of Catherine II, focused on moderate transformations and educational ideas but not going beyond absolutism, largely corresponded to the political course of the Russian conservatives. For the authors of the magazine, she embodied the ideal of the wise statesman and far-sighted politician, personified the idea of the Russian Empire as mighty world power, its political traditions and political culture.
PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING (PBL) BERBANTUAN E-LEARNING TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN INSTALASI PENERANGAN LISTRIK
Authors: Bakri Hafiz , Amin Muhammad 
Published: June 2022

Abstract This study aims to determine the differences in student learning outcomes between the experimental class using the Problem Based Learning learning model assisted by E-Learning and the control class using the ordinary Problem Based Learning learning model. This study uses a quasi-experimental method with a Posttest Only, Non-Equivalent Control Group Design model. The number of research subjects was 59 students, consisting of 30 students from class XI TITL 1 as the experimental class and 29 students from class XI TITL 2 as the control class. The data collection technique used is a written test in the form of multiple choice which has been tested for validity, reliability, level of difficulty, and discriminatory power. The results of the study obtained that the average value of student learning outcomes in the experimental class was 84.96. While the control class is 77.68. From the results of the calculation of the hypothesis test, it is obtained that t_count is 2.14 and t_table is 2.002, then t_count > t_table or 2.14 > 2.002, so it can be concluded that the alternative hypothesis (Ha) in this study is accepted as well as rejecting the null hypothesis (Ho) in other words the results The learning outcomes of class XI TITL students using the Problema Based Learning learning model assisted by E-Learning are higher than student learning outcomes using the Ordinary Problem Based Learning learning model. Keywords: Quasi Experiment, PBL E-Learning, PBL, Learning Outcomes. AbstrakPenelitian ini bertujuan untuk mengetahui perbedaan hasil belajar siswa antara kelas eksperimen yang menggunakan model pembelajaran Problem Based Learning berbantuan E-Learning dengan kelas kontrol yang menggunakan model pembelajaran Problem Based Learning biasa. Penelitian ini menggunakan metode quasi eksperimen dengan model Posttest Only, Non-Equivalent Control Group Design. Jumlah subjek penelitian 59 orang peserta didik, yang terdiri 30 peserta didik kelas XI TITL 1 sebagai kelas eksperimen dan 29 peserta didik kelas XI TITL 2 sebagai kelas kontrol. Teknik pengumpulan data yang digunakan adalah tes tertulis berbentuk pilihan ganda yang telah terlebih dahulu diuji validitas, reliabilitas, tingkat kesukaran, dan daya pembeda. Hasil penelitian diperoleh nilai rata-rata hasil belajar siswa pada kelas eksperimen yaitu 84,96. Sedangkan kelas kontrol 77,68. Dari hasil perhitungan uji hipótesis diperoleh 2,14 dan adalah 2,002, maka > atau 2,14 > 2,002, sehingga dapat disimpulkan bahwa hipótesis alternatif (Ha) dalam penelitian ini diterima sekaligus menolak hipótesis nihil (Ho) dengan kata lain hasil belajar siswa kelas XI TITL dengan menggunakan model pembelajaran Problema Based Learning berbantuan E-Learning lebih tinggi dari hasil belajar siswa dengan menggunakan model pembelajaran Problema Based Learning Biasa. Kata Kunci : Quasi Eksperiment, PBL E-Learning, PBL, Hasil Belajar.
Artificial Intelligence, Value Alignment and Rationality
Authors: Bekenova Zhumagul , Müürsepp Peeter , Nurysheva Gulzhikhan , Turarbekova Laura 
Published: June 2022

Abstract
The problem of value alignment in the context of AI studies is becoming more and more acute. This article deals with the basic questions concerning the system of human values corresponding to what we would like digital minds to be capable of. It has been suggested that as long as humans cannot agree on a universal system of values in the positive sense, we might be able to agree on what has to be avoided. The article argues that while we may follow this suggestion, we still need to keep the positive approach in focus as well. A holistic solution to the value alignment problem is not in sight and there might possibly never be a final solution. Currently, we are facing an era of endless adjustment of digital minds to biological ones. The biggest challenge is to keep humans in control of this adjustment. Here the responsibility lies with the humans. Human minds might not be able to fix the capacity of digital minds. The philosophical analysis shows that the key concept when dealing with this issue is value plurality. It may well be that we have to redefine our understanding of rationality in order to successfully deal with the value alignment problem. The article discusses an option to elaborate on the traditional understanding of rationality in the context of AI studies.
Development of a Scheme for Correcting Arbitrary Errors and Averaging Noise in Quantum Computing
Authors: Gushanskiy Sergey , Polenov Maxim , Potapov Viktor 
Published: June 2022

Abstract
Intensive research is currently being carried out to develop and create quantum computers and their software. This work is devoted to study of the influence of the environment on the quantum system of qubits. Quantum error correction is a set of methods for protecting quantum information and quantum state from unwanted interactions of the environment (decoherence) and other forms and types of noise. The article discusses the solution to the problem of research and development of corrective codes for rectifying several types of quantum errors that occur during computational processes in quantum algorithms and models of quantum computing devices. The aim of the work is to study existing methods for correcting various types of quantum errors and to create a corrective code for quantum error rectification. The scientific novelty is expressed in the exclusion of one of the shortcomings of the quantum computing process.
Enhancing Weak Nodes in Decision Tree Algorithm Using Data Augmentation
Authors: Manzali Youness , El Far Mohamed , Chahhou Mohamed , Elmohajir Mohammed 
Published: June 2022

Abstract
Decision trees are among the most popular classifiers in machine learning, artificial intelligence, and pattern recognition because they are accurate and easy to interpret. During the tree construction, a node containing too few observations (weak node) could still get split, and then the resulted split is unreliable and statistically has no value. Many existing machine-learning methods can resolve this issue, such as pruning, which removes the tree’s non-meaningful parts. This paper deals with the weak nodes differently; we introduce a new algorithm Enhancing Weak Nodes in Decision Tree (EWNDT), which reinforces them by increasing their data from other similar tree nodes. We called the data augmentation a virtual merging because we temporarily recalculate the best splitting attribute and the best threshold in the weak node. We have used two approaches to defining the similarity between two nodes. The experimental results are verified using benchmark datasets from the UCI machine-learning repository. The results indicate that the EWNDT algorithm gives a good performance.
Objectives of an enterprise. Bi-criteria analysis and negotiation problems
Authors: Gadomski Jan , Kruś Lech 
Published: June 2022

Abstract
A decision-making process is considered for a firm, in which two coexisting groups of interests pursue different goals. An original model based on a non-neoclassical production function is proposed. The function satisfies the conditions formulated by R. Frisch, which makes it possible to investigate firms operating in the environment far from the perfect competition and pursuing goals other than profit maximization. A two-criteria optimization problem is formulated with the two criteria representing the goals of the groups: maximization of profit and maximization of income generated by the firm with respect to capital and labor. The problem is considered in two variants of the product market, namely the perfect and the imperfect competition. Solutions of the problem are analyzed including the derived Pareto sets. The importance of knowledge about the Pareto set in negotiations between the groups of interests in the firm is illustrated and discussed.
Analysis of dapagliflozin-induced expression profile of long noncoding RNAs in proximal tubular epithelial cells of diabetic kidney disease
Authors: Song Yi , Guo Feng , Huang Fengjuan , Zhao Yanyan , Ma Xiaojun , Wu Lina , Qin Guijun 
Published: June 2022

Abstract

Background
Accumulating evidence indicates that long noncoding RNAs (lncRNAs) play an important role in diabetic kidney disease (DKD). Dapagliflozin (DAPA), a sodium-glucose cotransporter 2 (SGLT2) inhibitor, exerts protective effects against DKD, but the underlying mechanism remains unclear.

Methods
In this study, we performed RNA microarray analysis to investigate differentially expressed lncRNAs and mRNAs in human proximal tubular epithelial cells (HK-2 cells) cultured with normal glucose (Ng), high glucose (Hg), and Hg plus DAPA, and conducted bioinformatic analyses to investigate their functions.

Results
Compared with the Ng group, 6761 lncRNAs and 3162 mRNAs were differentially expressed in the Hg group. Expression levels of 714 and 259 lncRNAs were up- and down-regulated, respectively, whereas those of 138 and 127 mRNAs were up- and down-regulated, respectively, after DAPA treatment (fold change ≥2, P < 0.05). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to assess the biological functions of lncRNAs and potential target genes. According to GO analysis, dysregulated mRNAs were primarily enriched in the cell cycle, whereas DAPA-induced mRNAs were enriched in collagen biosynthesis and regulation of programmed cell death. Type I diabetes mellitus and cell cycle signaling were the main KEGG pathways in the Hg group. However, cancer and signal transduction pathways were related to DAPA treatment.

Conclusions
Finally, we established protein–protein interaction (PPI) networks, as well as lncRNA–mRNA and lncRNA–miRNA–mRNA networks, and identified five potentially important lncRNAs whose expression levels were altered by DAPA treatment. Our findings suggest that lncRNAs are potential targets for DKD treatment.
Influence of Graphite as a Filler on Selected Mechanical and Structural Properties of Layered Composites with Polyester-Glass Recyclate
Authors: Wieczorska Agata , Panasiuk Katarzyna , Bazychowska Sylwia 
Published: June 2022

Abstract
The search for recycling methods of composite materials indicated the possibility of using composites with polyester-glass recyclate as structural elements. The main aim of the article was to analyse the influence of the graphite percentage content on the mechanical and structural properties of such composites. Composite materials were made by hand laminating with 10% polyester-glass recyclate and graphite nano-additive. Samples for the static tensile test were prepared, which was carried out in accordance with the applicable standard on a universal testing machine. The obtained results showed that with the increase in the amount of graphite, the properties of the composite decrease; however, disproportionately to the % of its content.
Application supporting the design of parachute geometry for the sounding rocket recovery system
Authors: Jasztal Michał , Kłosiński Artur , Stańska Marta 
Published: June 2022

Abstract
The work presents an application that enables the calculation of the basic geometric dimensions of parachutes used in the sounding rocket recovery systems. Determining the geometry of the parachute canopy, based on the equation of aerodynamic drag, which allows to obtain the object drop velocity declared by the user. The developed application also enables the visualization of the parachute canopy geometry selected according to the specific requirements of the mission. The key element of the work is the possibility of obtaining the geometry of a single segment of the parachute canopy along with the necessary allowance for the seam, which significantly facilitates the process of making a ready-to-use parachute. As part of this study, the results of the calculations made with the use of the application were verified on the basis of data collected during the flight of the experimental sounding rocket.
Development of the District Heating System on the Left Bank of the Daugava River in Riga
Authors: Dzelzitis E. , Talcis N. , Pilmanis I. , Bode I. , Jansons L. , Zemite L. 
Published: June 2022

Abstract
In Latvia, heat supply is provided in three different ways: using district heating (hereinafter – DH), local heating and individual heating systems. Heat energy consumption consists of heat energy consumption for heating, hot water and heat energy technological processes. The structure of DH consumers has not changed in recent years and the largest consumers of heat are households – 70 % of the total energy consumption. The district heating system accounts for approximately 29 % of the total consumption. There is also the so-called tertiary sector, which is made of municipal and state buildings with a minor total heat consumption of about 1 %.
It should be noted that 65–70 % of energy is used for heating needs, and 30–35% for hot water preparation. In Latvia, heat of DH consumers is produced both in boiler houses (hereinafter – BHs) and cogeneration plants (hereinafter – CHPs). The latter also produce electricity. Over the past 10 years, the distribution of heat produced in BHs and CHPs has changed significantly. The heat supply of the Latvian energy sector is a system consisting of three main elements – heat source, transmission and distribution networks, and end consumer. Low efficiency of heat supply system elements creates risks to security of heat supply, resource sustainability and competitiveness. Increasing energy efficiency in the system as a whole, or in individual elements of the system, will promote the enhancement of the heat supply sector, while promoting economic growth as well. The research attempts to evaluate the energy efficiency of DH systems in the so-called left bank (hereinafter – LB) DH area (located on the left bank of the Daugava River in Riga).
Importance of Spectrum Management in Radio Astronomy
Authors: Kallunki J. , Bezrukovs V. , Madkour W. , Kirves P. 
Published: June 2022

Abstract
The increasing terrestrial and space-borne communications are causing major problems to the radio astronomy observations. Only a minor part of the frequencies is allocated to the passive services, such as Radio Astronomy Services (RAS). There are only a few, relatively narrow frequency bands below 20 GHz, which are still suitable for the radio astronomical observations. In addition, Out-of-Band (OoB) emissions will be a real threat to the observations on these bands. On behalf of all European radio astronomers, the Committee on Radio Astronomy Frequencies (CRAF) of the European Science Foundation (ESF) coordinates activities to keep the frequency bands used by radio astronomy and space sciences free of interference. Along with interference caused by active radio communication services, the local electronic device selection should be considered in the observatories. For instance, more common LED based lamps could cause harmful interference for the observations. Thus, it is very important to perform continuous radio frequency interference (RFI) monitoring locally, in each radio observatory.
Relationship Between Solar Millimeter and Soft X-Ray Emissions
Authors: Kallunki J. , Tornikoski M. 
Published: June 2022

Abstract
The connection between solar radio and soft X-ray emission has earlier been studied at various radio frequencies. For instance, the intensity peak times during solar flares have been compared between these two wavelength regimes. It has been reported that solar radio emission peaks before soft X-ray emission during a flare. However, opposite results have also been presented. In this study, we compare millimetre (8 mm) solar and soft X-ray emissions (0.5–4 Å and 1–8 Å). The radio observations were made at Metsähovi Radio Observatory of Aalto University in Finland between 2015 and 2019. The soft X-ray data were observed with GOES-15 (Geostationary Operational Environmental Satellite). The data show that the solar millimetre emission can peak either before or after soft X-ray peak emission. In this study, we present two different scenarios, which could explain the peaking time differences and behaviour. The first scenario proposes a tight connection between the millimetre (8 mm) and soft X-ray emissions, the second one is for cases where the emission mechanisms are more separate.
Subject Raising in Chinese Modal Auxiliary Verb Constructions: A-movement or A′-movement?
Authors: Hu Bo , Chen Hong 
Published: June 2022

Abstract
Subject raising in Chinese modal auxiliary verb constructions can be either A-movement or A′-movement. Modal auxiliary verbs such as hui and yao can take a nonfinite TP complement which cannot value the abstract case of the embedded subject. Hence the embedded subject must get its case valued by the matrix T and is raised to the Spec-TP of the matrix clause. This kind of raising is A-movement and is obligatory. Modal auxiliary verbs such as keneng and yinggai take a finite CP complement that can be assigned tense value by the broader context. The embedded subject can get its case valued and stay in situ. It can also be raised to the sentence-initial position by topicalization. This kind of raising is A′-movement. The A-movement and A′-movement contrast accounts for the minimal link condition in object raising, weak and strong quantificational NPs, topic stacking, and resumptive pronouns in Chinese modal auxiliary verb constructions.
ANALYSIS IMPLEMENTATION OF NATIONAL FINANCIAL INCLUSION STRATEGY CONNECTED WITH SHARIA FINANCIAL INCLUSION
Authors: Komarudin Munir Nur , Nugraha Nugraha , Harjadi Dikdik , Oktaviani Fany 
Published: June 2022

ABSTRACT The purpose of this research is to know the effect of financial education, community property rights, intermediation facilities and financial distribution channels, financial services to the government sector and consumer protection to Islamic financial inclusions. The sampling technique useda random sampling method and thesample isobtained 100 respondents. The independent variables (x) include: financial education, communityproperty rights, intermediation facilities and financial distribution channels,financial services in the government sector and consumer protection. This research used a quantitative approach with descriptive and verification methods and methods ofdata analysis using multiple linear regression analysis.The result of this study indicate that the implementation a five pillars of SNKI (The national strategy of financial inclusion) has a positiveand significant impact on Islamic financial inclusion, it’s mean that if the implementation a five pillars of SNKI had increased automatically the Islamic financial inclusion would be increased. Key Words: Financial Education, Community Property Rights, Intermediation Facilities and Financial Distribution Channels, Financial Services to the Government Sector Consumer Protection and Islamic Financial Inclusion
ESTIMATION OF THE STAGE OF CARBONIZATION OF ORGANIC MATTER OF KUZBASS SAPROMIXITES
Authors: Рокосов Ю.В. , Рокосова Н.Н. , Горюнова П.В. , Рокосова В.Ю. , Романова Т.А. 
Published: June 2022

Цель исследования заключалась в определении стадии карбонизации органического вещества сапромикситов (липтобиолитов) Кузбасса, исходя из занимаемого ими места на диаграммах относительного распределения образцов сапропелитов, включающих органическое вещество разной степени карбонизации, в зависимости от содержания углеводородов, нейтральных и кислых гетероатомных соединений, образующихся в процессе термогидролиза. Авторы пришли к выводу, что согласно расположению этих сапромикситов на диаграммах относительного распределения образцов с органическим веществом разной степени карбонизации в зависимости от содержания фракций основных соединений, образующихся при термогидролизе, стадия карбонизации их органического вещества длиннопламенная.
The purpose of the study was to determine the stage of carbonization of the organic matter of Kuzbass sapromixites (liptobiolites), based on their place on the diagrams of the relative distribution of sapropelite samples, including organic matter of different degrees of carbonization, depending on the content of hydrocarbons, neutral and acidic heteroatomic compounds formed during thermal hydrolysis. The authors came to the conclusion that according to the location of these sapromixites on the diagrams of the relative distribution of samples with organic matter of different degrees of carbonization, depending on the content of fractions of the main compounds formed during thermal hydrolysis, the stage of carbonization of their organic matter is long-flame.
Automatic Sentiment Classification of News Using Machine Learning Methods
Authors: Wang Yuhan 
Published: June 2022

With the rapid development of social economy, the society has entered into a new stage of development, especially in new media under the background of rapid development, makes the importance of news and information to get the comprehensive promotion, and in order to further identify the positive and negative news, should be fully using machine learning methods, based on the emotion to realize the automatic classifying of news, in order to improve the efficiency of news classification. Therefore, the article first makes clear the basic outline of news sentiment classification. Secondly, the specific way of automatic classification of news emotion is deeply analyzed. On the basis of this, the paper puts forward the concrete measures of automatic classification of news emotion by using machine learning.