bluuebunny/crossref_metadata_2025_split huggingface dataset:
Creation of the composite material based on titanium dioxide with high photocatalytic characteristics by oxidative construction approach
Authors:   Baikov Institute of Metallurgy and Materials Science RAS, Kovalev I. A. , Sadovnikov A. A. ,   Kurnakov Institute of General and Inorganic Chemistry RAS, Shevtsov S. V. ,   Baikov Institute of Metallurgy and Materials Science RAS, Ovsyannikov N. A. ,   Baikov Institute of Metallurgy and Materials Science RAS, Strelnikova S. S. ,   Baikov Institute of Metallurgy and Materials Science RAS, Chernyavskii A. S. ,   Baikov Institute of Metallurgy and Materials Science RAS, Solntsev K. A. ,   Baikov Institute of Metallurgy and Materials Science RAS
Published: May 2022

A composite material with photocatalytically active properties was obtained by electrophoretic deposition (EF) of highly dispersed anatase on the surface of the carrier. The carrier was a titanium/rutile cermet plate obtained after 2 hours of oxidation at 875 °C. using the oxidative construction approach. During this time, a layer of rutile 15 – 20 μm formed on the titanium plate, which has good adhesion to the surface of the metal core. The breakdown voltage for this sample was ∼ 150 V. To make the photocatalyst film homogeneous and compact, it was carried out by 3 cycles of electrophoretic deposition and heat treatment at 395 °C. The photocatalytic activity of the obtained samples was studied using the example of the reaction of catalytic decomposition of ozone under the action of ultraviolet radiation.
A NANOPREPARATIONS EFFECT ON SPRING WHEAT PRODUCTIVITIES UNDER THE CONDITIONS OF THE WATER-AIR REGIME REGULATION OF SODDY-PODZOLIC SOIL
Authors: Zinkovskaya T. S. , Rabinovich G. Yu. , Antsiferova O. N. 
Published: May 2022

The effect of nanopreparations on the productivity of spring wheat under different water regimes of drained gleyic light loamy soddy-podzolic soil was studied. The use of new generation biological agents to increase the productivity of cultivated crops, prevent degradation processes, preserve and expand the reproduction of soil fertility made it possible to determine their effect on the yield and quality of spring wheat with bilateral regulation of the water-air regime of the soil. The use of humic preparations with nanoparticles BoGum-N and fulvohumate "Ivan Ovsinsky" both separately and against the background of a high-tech fertilizer developed by VNIIMZ - multi-purpose compost (KMN), contributed to an increase in yield. During a three-year experiment (2019-2021), a mathematically proven yield increase was obtained in variants with nanopreparations relative to the control. On average, over three years, the yield of spring wheat on non-irrigated variants with nanopreparations BoGum-N and fulvohumate "Ivan Ovsinsky" was 24.1 and 23.9 c/ha, in the control - 20.1 c/ha. Under irrigation with nanopreparations and in the control variant, the yield was 28.2 c/ha, 27.8 c/ha and 23.2 c/ha, respectively. The highest productivity of wheat over the years of research was provided by irrigation options with nanopreparations against the background of KMN. This had a positive effect on enhancing the effect of the tested drugs. On irrigated variants, on average over three years, the increase in yield with foliar treatment with nanopreparations was 18-20% in relation to the KMN. During the experiment, almost the same effect of the studied nanopreparations on the productivity of spring wheat was revealed. Under the conditions of bilateral regulation of the water regime of the soil, the influence of biological agents on the quality of wheat was assessed. Variants with nanopreparations against the background of KMN were distinguished by increased protein content, both watering and without it. When drained, the protein content in wheat grain averaged 12.2%, in variants with irrigation - 11.8%.
Evaluasi Program Home Care Taman Penitipan Anak (TPA) Selama Masa Pandemi Covid-19
Authors: Rahmawati Desi , Sugito Sugito 
Published: May 2022

Home care merupakan sebuah layanan pengasuhan yang disediakan oleh An Nahl Daycare sebagai pengganti layanan daycare secara langsung. Evaluasi program kegiatan ini diselenggarakan atas dasar perlunya identifikasi dalam perencanaan program untuk mengetahui bagaimana pelaksanaan program home care yang akan dilakukan. Metode yang digunakan dalam penelitian ini adalah evaluasi model CIPP (Context, Input, Process, Product) dengan subjek penelitian guru dan pengasuh. Evaluasi ini bertujuan untuk mengetahui keterlaksanaan progam home care di An Nahl Daycare Yogyakarta. Hasil penelitian menemukan bahwa 1) Perencanaan dan pengambilan keputusan dalam program telah melibatkan seluruh partisipan program yaitu kepala lembaga, guru, dan pengasuh, 2) Sarana dan prasarana seperti metode, media, instruktur, serta kurikulum yang digunakan dapat mendukung proses pelaksanaan program, 3) Pelaksanaan program dilakukan dengan dukungan sarana dan prasarana yang telah disiapkan sebelumnya, 4) Evaluasi pelaksanaan program cukup baik terkait dengan adaptasi nilai, keterampilan dan pengetahuan yang diberikan.
O PARADOXO GLOBAL DA CIDADANIA
Authors: Schonardie Elenise Felzke , Winkelmann Régis Natan 
Published: May 2022

O artigo aborda o tema da cidadania. Tem por objetivo apresentar as contradições da cidadania enquanto categoria político-jurídica, no contexto atual da sociedade global. O corpo do texto está organizado em quatro tópicos e, inicia com a abordagem da vocação universalista da cidadania moderna, passando para a análise da globalização enquanto fenômeno multidimensional que, torna visível o declínio do indivíduo, diante às distintas possibilidades de prosseguimento das conquistas e dilemas da modernidade; o indivíduo humano fica diante da pós-modernidade despido de qualquer certeza, pois, a globalização exige novas formas de ver, sentir, pensar o mundo. Por fim, destaca a cidadania como importante vetor social da sociedade global e promotor de um elevado nível civilizacional. O método de abordagem eleito foi o hipotético-dedutivo, por meio do procedimento bibliográfico e, interpretação jurídica com base nos métodos histórico e sociológico. Conclui que a cidadania precisa ser entendida como a qualidade de participação na construção conflitiva do espaço público, que não se limita apenas a dimensão nacional, mas a transcende para uma nova esfera de dimensões transnacionais e alta complexidade.
Automated Exploratory Data Analysis
Authors: Dhillon Hubble 
Published: May 2022

This study introduces a novel framework that can be generalized for an automated exploratory data analysis to test a given hypothesis. The current work is about a drug-related trend and also provides a specific model to test a motivation-related hypothesis in the case of COVID-19. With the utilization of the right, appropriate, and optimized solution available to solve a problem, it is significant that the user feels motivated to delve into the solution for the betterment of society.
KEYWORDS: automated exploratory data analysis, motivation-related hypothesis
Integration of Blockchain with Big Data Free Schema
Authors: Naqvi Muhammad Raza , Rana Zahoor Ahmad , Tahir Muhammad Usman 
Published: May 2022

Security, immutability, and nature present numerous difficulties. Big data in monetization is still among the biggest concerns for large of dataset management .Large organizations easily convert unstructured data sets into structured data sets. Still the problems are faced in smart services in searching of reliable big data solutions. Security and privacy are the main concerns of cybersecurity. The main problem of integrating blockchain with big data free schema is how big data can be transferred to the blockchain model with complete assurance of privacy, security, and integrity. It requires an architectural model that paves the way to decentralized, immutable and secure data modeling. Blockchain is relatively a new technology, guaranteeing integrity and ensuring security in the field of information systems. Its first implementation is bitcoin as a crypto consensus model in which the computational evaluation of currency has gained a lot of attention. Blockchain mining and approving exchanges comprise a distributed system that contains connections. This article opens new paths into the blocks of transactions. Immutability, authentication and distributed consensus are the main characteristics of blockchain.
Computational Techniques and their Usage to Optimize Car Design for Better Performance
Authors: Muhammad Uzair Riaz  , Manzoor Tareq , Muhammad Umair  , Hasan Ali  , Ammar Iqbal  
Published: May 2022

This paper describes the use of different computational fluid dynamics (CFD) models and other techniques that can be used to get low coefficient of drag. The upper body of a car is designed using surface modeling in CATIA. It is analyzed using K-epsilon realizable model in ANSYS Fluent. Changes in design are made based on the high coefficient of drag at high speeds. Then, K-epsilon realizable model is used for analysis. To get better accuracy, a refined mesh for the wake region is used. Afterwards, k-omega standard model is used. At the end, the upper body of the passenger car and its tyres are examined to get the final results of the coefficient of drag. The same design with the same meshing conditions is also analyzed in Star CCM+ to verify the results.
INDEX TERMS: ANSYS Fluent, computational fluid dynamics (CFD), coefficient of drag, Star CCM+
Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis
Authors: Lamichhane Prabin B , Mannering Hannah , Eberle William 
Published: May 2022

Due to the rise in the Internet of Health Things (IoHT), cyber-attacks, particularly data intrusions, have become an issue for security experts. In this work, we analyze the performance of traditional statistical, machine learning, and graph-based anomaly detection approaches in response to this problem. We believe that understanding intrusion patterns can aid in the prevention of future attacks. In this work, we use the ARMA model for statistical analysis. We also use several machine learning approaches such as multinomial naive bayes, ran- dom forest, neural networks, XGBClassifier, and support vector machines (SVM). However, while our experiments show that machine learning (ML) techniques have higher precision, accuracy, and F1 score than graph-based techniques, there are aspects to a graph-based approach that could aid security experts in the discovery of certain data breaches by combining the graph-based with the statistical and ML methods. Experiments also show combining different anomaly detection techniques allows for a diverse set of intrusion patterns to be discovered. By recognizing the power of both machine learning and graph-based approaches, we analyze their precision and accuracy while explaining how existing state-of-the-art methods can detect breach patterns. Finally, by identifying the characteristics of breach patterns, we present information that security experts can use to prevent future data intrusions.
Recommendation System for Open Source Projects for Minimizing Abandonment
Authors: Sayce Sarah , Ghosh Krishnendu 
Published: May 2022

The rise in the creation and maintenance of Open Source
Software have facilitated the software developers to contribute
and prevent abandonment. Software developers often
face a daunting task to select the open source projects that remain
active. In the absence of any resource to guide in the selection
of the Open Source Software projects, recommendation
systems is way to provide guidance to open source contributors.
In this work, we describe several approaches in creation
of recommendation systems for Open Source Software
projects. Experiments on a synthetic data set are performed
to evaluate the performance of the recommendation system.
Review of the Validity and Rationality of Artificial Intelligence Regulation
Authors: Lim Eugene , Park Hyesung , Kim Beopyeon , Kim Beopyeon 
Published: May 2022

The ‘risk of artificial intelligence technology and services' is a long-standing debate. Such discussion is being raised and sparked whenever incidents that prove the dangers of Artificial Intelligence occur. Recently, the argument that legal control and regulatory measures for artificial intelligence technologies and services is necessary to control risks is gaining strength. In the midst of this, the EU proposed "Proposal for a Regulation laying down harmonized rules on artificial intelligence: Artificial Intelligence Act" in April 2021 and materialized the regulatory discussion on artificial intelligence.
Public opinion is that legal control over artificial intelligence technology is needed. However, no one has found the answer to what method and content it would be reasonable to approach. From such a perspective, it is unclear how effectively and effectively various regulatory laws, including the EU, will be able to control the risks of artificial intelligence. Since regulation on artificial intelligence can act as an obstacle to the development of AI technology and industry, implementation of regulation in a stage where the possibility of control, the effect of the law, and the subject and scope of the regulation are not clear, should be approached deliberately. Therefore, reviewing whether regulatory measures can achieve the legal effect reasonably motivated by and control the risks of artificial intelligence is necessary. In this context, this paper applies the EU's AI regulatory legislation to cases such as accidents or incidents that emerged as social problems by AI, and analyzes whether the legislative regulatory measures of AI are valid and effective. Furthermore, the prerequisites for ensuring that the legislation of artificial intelligence regulation is reasonable and valid are also presented.
HTN Replanning from the Middle
Authors: Bansod Yash , Patra Sunandita , Nau Dana , Roberts Mark 
Published: May 2022

When an actor executes a plan, action failures and exogenous events may lead to unexpected states that require replanning from the middle of plan execution. In Hierarchical Task Network (HTN) planning, unless the HTN methods have been carefully written to work well in unexpected states, replanning may either fail or produce plans that perform poorly.
To overcome this problem, we introduce IPyHOP, a reentrant version of GTPyhop (a SHOP-like HTN planner), and Run-Lazy-Refineahead, a modification of the Run-Lazy-Lookahead actor that utilizes IPyHOP's reentrant replanning capability to replan during plan execution. In our experiments, Run-Lazy-Refineahead and IPyHOP expend less search effort (fewer decompositions and fewer iterations), find revised plans with fewer actions and lower total action cost, and finish execution with fewer failures.
Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning
Authors: Aris Timothy , Ustun Volkan , Kumar Rajay 
Published: May 2022

This paper presents a reinforcement learning model designed to learn how to take cover on geo-specific terrains, an essential behavior component for military training simulations. Training of the models is performed on the Rapid Integration and Development Environment (RIDE) leveraging the Unity ML-Agents framework. We show that increasing the number of novel situations the agent is exposed to increases the performance on the test set. In addition, the trained models possess some ability to generalize across terrains, and it can also take less time to retrain an agent to a new terrain, if that terrain has a level of complexity less than or equal to the terrain it was previously trained on.
Students' Motivation under the Study of Foreign Languages in a Pharmaceutical University
Authors: Arkhipova I. V. , Rozhkov G. A. , Pristupa S. V. , Sergopoltseva E. O. , Tumanova A. P. 
Published: May 2022

Introduction. The authors of the research aimed to determine the level of students' interest in foreign languages, leading motives, as well as the presence of difficulties arising under the study of a foreign language. The importance of motivation in the process of learning foreign languages in a non-linguistic university is emphasized.Methodology and sources. The authors of the research describe the questionnaire survey and analysis of the results obtained in its course. This research involved 267 students of 1–2 courses of the Pharmaceutical Faculty of the Saint Petersburg State Chemical and Pharmaceutical University.Results and discussion. The modern pharmaceutical industry is actively developing, which implies the exchange of technology and knowledge between representatives of different countries. Most pharmaceutical companies have subsidiaries all over the world. A demanded employee needs to have the skill of effective intercultural dialogue in this professional field. In recent decades, the role of foreign languages has increased all over the world, and the necessity to know them is generally recognized.Conclusion. The paper has shown the level of the development of motivation for learning a foreign language by students in order to further increase the level of development of their motivation in the learning foreign languages. The conclusion was made that student motivation stands out as one of the main factors in achieving success in both educational and professional activities and, therefore, should be a priority for all teachers.
Research on the Structure of Indo-European Dialect Continuum by Comparing Swadesh Lists of the Closest Descendant Languages
Authors: Telezhko G. M. 
Published: May 2022

Introduction. This article is an attempt to extract information about the interactions of dialects of the Indo-European dialect continuum with each other using a comparative analysis of the basic vocabularies of some Indo-European (IE) descendant languages.The search for external borrowings and influence of a common substrate would help to clarify the ethno-linguistic surrounding of the area where the IE proto-dialects developed.In turn, these data are actual being pro and contra arguments of the well-known hypotheses about the IE ancestral home.Methodology and sources. The number of mutually understandable basic lexemes taken in relation to the number of lexemes in the compared lists was chosen as a measure of the interaction of IE dialects, indicators of their commonality.207-word Swadesh lists of 12 languages in their possibly more ancient states were analysed.For geographical binding of the IE language areal we have selected cross-borrowings from/to neighboring / substrate non-IE languages, the ancient settlement areas of native speakers of which are considered well-known.Results and discussion. The results of the comparison of the basic vocabularies of 12 IE languages have been interpreted in the form of a graph demonstrating the relative location of areas of the corresponding IE dialects. Lexemes meaning 'predator (bear, lion, etc.)', 'cattle (bull, ox)' determined the ethno-linguistic surrounding of the IE areal.Conclusion. The relevant linguistic data permitted to identify in the IE dialect continuum the core of proto-dialects: Baltic, Slavic, Aryan and Italic – and partially superimposed dialect subcontinua:– Balto-Greco-Aryo-Tocharo-Anatolian subcontinuum in the northern part of the IE areal;– Tocharo-Celto-Germanic subcontinuum in the eastern part;– Germano-Celto-Italo-Greco-Armeno-Baltic subcontinuum in the southern part;– Balto-Slavo-Italo-Aryan subcontinuum in the western part.The representation of the Proto-IE areal as a dialect continuum solves a number of difficulties inherent in the most common model of a single IE proto-language.
Key Words as Markers of the Communicative Behavior of the Discursive Personality of the Nominee to the USA Presidency (Based on the Genre of Pre-Election Debates)
Authors: Kochetova L. A. , Demkina Ya. Yu. 
Published: May 2022

Introduction. This paper presents an analysis of the language indicators of communicative behavior of US presidential candidates during election debates. The scientific novelty consists of determining the specifics of the characteristics of the communicative behavior of the discursive personality, which form the basis of the corresponding social type, which can be identified using the methods of linguistic analysis. The study of the discursive personality is reduced to a description of the types of its performative actions; identification of types of communicative tonality that characterize the manner of behavior of a discursive personality and make it recognizable; identification of axiological characteristics of the studied discursive personality. The relevance of the work lies in the study of the problematic aspects of the discursive personality, explaining the specifics of the models of communicative behavior in situations of political communication.Methodology and sources. This study used the methods of corpus linguistics and the interpretative method of discourse analysis. The texts of the genre of election debates, which took place from 2000 to 2020, became the empirical basis of this study. The volume of the corpus of these texts amounted to more than 1.5 million words. A corpus method of keywords, which allows to identify unique tokens of pre-election speeches of each of the presidential candidates; a qualitative analysis method that explains typical communicative actions that representatives of the two ruling parties of the United States, were used to establish the characteristics of the communicative behavior of US presidential candidates.Results and discussion. The results of a comparative study of the discursive personality of the US presidential candidate representatives of the Republican and Democratic parties are presented. The study of keywords showed typical tactics of communicative behavior of candidates for US presidential candidates of the Democratic and Republican parties. It is established that presidential candidates from both parties use prosecution tactics in election debates, Republicans are more likely to resort to direct accusation tactics accusations of violating pragmatic, instrumental values, Democrats prefer indirect accusation tactics, which are based on accusations of violation of moral norms and values by political opponents.Conclusion. The discursive personality of the US presidential candidate reflects the variable socio-ideological component of political discourse, which is manifested in a specific set of speech strategies and tactics and language structures that implement them.