bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inter/multiculturalismo e diversidade musical: algumas narrativas acadêmicas
Authors: Coutinho Paulo Roberto de Oliveira , Rocha Inês de Almeida 
Published: May 2022

O artigo apresenta uma análise da produção acadêmica a partir de perspectivas teóricas e conceituais inter/multiculturais publicadas em dois periódicos especializados - a Revista da ABEM e o International Journal of Music Education - na última década. O principal foco de análise foi à consideração desse quadro teórico/conceitual como mote de diálogo interdisciplinar para discutir questões relacionadas às formas como a diversidade musical se manifesta nos discursos da referida produção. O levantamento das produções compreende o período de 2009 a 2019[1] nos respectivos periódicos. Os resultados desta análise mostram que a diversidade musical/cultural se materializa de diferentes maneiras, resultando em diferentes respostas ao tratamento das diferenças culturais. Nas considerações, o estudo destaca a importância de construção de debates e reflexões sobre uma concepção de diversidade musical para além da perspectiva da pluralidade. Nessa ótica, este estudo aponta a necessidade de se considerar as interações e tensões culturais como fenômenos inerentes às ressignificações de saberes e conhecimentos a partir de diferentes expressões culturais.
Palavras-chave: Educação Musical; Diversidade Musical; Inter/multiculturalismo.

[1] O período citado decorre do fato deste levantamento bibliográfico ser material constitutivo de um recorte de um dos capítulos de tese de doutorado defendida em 2019.
Arquivos e História da Educação (2ª parte)
Authors: Silva Alexandra Lima da , Vasconcellos Maria Celi Chaves 
Published: May 2022

A Revista Caminhos da Educação: diálogos, culturas e diversidades publica a 2ª parte do dossiê Arquivos e História da Educação, organizado pelas professoras Alexandra Lima da Silva e Maria Celi Chaves Vasconcelos, pesquisadoras e professoras do campo da História da Educação.
Examining the Impact of Project Management Methodology on Construction Project Success. Using Risk Management as a Mediator and Organizational Culture as a Moderator
Authors: Javaid Mahid , Sajid Muhammad , Masood Khansa , Khan Zeeshan 
Published: May 2022

Purpose: The objective of this empirical study was to examine this relationship using 03 different dimensions of various elements of any Project management methodology i.e. having a comprehensive set of elements, supplementing missing elements & applying relevant elements, and assessing their impact on project success.
Design/Methodology/Approach: Data is collected from 261 respondents from the construction industry of Punjab, Pakistan with the help of a research questionnaire. Partial Least squared-Structural Equation modeling is used to analyze the data through Smart PLS.
Findings: The results of this study indicate that all three dimensions have a significant and positive impact on project success. Furthermore, mediation by risk management and moderation by organizational culture is also found to be present in these relationships.
Implications/Originality/Value: These results implicate that by using relevant dimensions of various elements of project management methodology, the project success rate can be enhanced for construction projects.
The role of manganese-substituting ions and oxygen nonstoichiometry in the formation of the manganites properties
Authors:   Astrakhan State University, Karpasyuk V. K. , Badelin A. G. ,   Astrakhan State University, Merkulov D. I. ,   Astrakhan State University, Eremina R. M. ,   The Kazan E.K. Zavoisky Physical-Technical Institute, Vagizov F. G. ,   Kazan Federal University, Estemirova S. Kh. ,   nstitute of metallurgy, Ural Division of RAS
Published: May 2022

Structural and magnetic characteristics of La0.7Sr0.3Mn0.957Fe0.05Zn0.05O3+γ and La0.7Sr0.3Mn0.957Fe0.05Mg0.05O3+γ manganites, in which the iron is Mossbauer isotope 57Fe, are investigated and compared. Ceramic samples were sintered in air at 1473 K. They were then exposed to heat treatments at 1223 K and various partial pressure of oxygen in the gas phase, which ensured the production of manganites with following values of non-stoichiometry index: γ = −0.005; 0.000; 0.007; 0.008 for Zn-containing manganites (ZnM), and γ = −0.022; 0.000; 0.002; 0.005 for Mg-containing manganites (MgM). All synthesized manganites have rhombohedral crystal structure. Mössbauer spectroscopy data correspond to Fe3+ (3d5) ions. Curie point and magnetization depend on γ nonmonotonically. ZnM have essentially higher values of magnetic parameters and narrowest temperature interval of “ferromagnetic-paramagnetic” transition as compared to MgM. Their structure is considered as more homogeneous, which corresponds to lower value of quadrupole splitting of Mössbauer spectra. The results obtained indicate that different effect of Zn2+ and Mg2+ ions on electromagnetic characteristics of manganites is mainly determined by the configuration of their electron shells (3d10 and 2p6, correspondingly).
MOLECULAR-GENETIC CHARACTERIZATION OF HAPLOID SUGAR BEET LINES
Authors: Nalbandyan А. А. , Fedulova T. P. , Torop Е. А. , Tkachenko O. V. , Duvanova T. N. 
Published: May 2022

Aim of the investigations is to carry out molecular-genetic study of sugar beet haploid plants-regenerants obtained by direct regeneration under in vitro culture. Results of these sugar beet lines’ molecular evaluation according to five microsattelite loci (SSR-markers – Unigenes: 24552, 14805, 16898, 22373 and 27833) and three minisattelites (TRs). As a result of the studies, experimental data characterizing initial sugar beet lines according to these molecular-genetic markers and allowing their clear differentiation have been obtained. Genetical distances (Euclidean) between the studied genotypes have been determined. The obtained sugar beet microclones have been clustered, and unique DNA-profiles for these breeding individuals have been made. From the results of the conducted molecular-genetic analysis of haploid plants-regenerants, it has been determined that DNA-markers of sugar beet mitochondrial genome belonging to the family of TRs minisatellites (TR1 and TR3) allow high-reliable identification of microclonal plants as MS and O-type forms. It has been revealed that plants-pollinators (sterility maintainers) of O-type are characterized by presence of DNA-amplicons: 700 bp in length when using the primer TR1 and 500 bp in length when using the primer TR3. The fragments of 400 bp are typical of MS plants-regenerants.
Keterampilan Pengasuhan Orang Tua terhadap Anak Usia Dini selama Pandemi
Authors: Mu'arifah Alif , Mashar Riana 
Published: May 2022

Stressor yang dihadapi orang tua selama masa pandemi bersifat makro dan mempengaruhi seluruh aspek kehidupan. Kondisi pandemi memberikan tantangan yang besar bagi orang tua untuk tetap dapat mengembangkan keterampilan parenting yang positif saat berinteraksi dengan anak di rumah. Penelitian ini bertujuan untuk mengetahui keterampilan pengasuhan orang tua dengan anak usia dini ditinjau dari tingkat pendidikan dan lama pernikahan selama masa pandemi. Penelitian menggunakan desain penelitian kuantitatif komparatif. Subyek terdiri dari 490 orang tua yang terdiri 449 ibu dan 41 ayah yang memiliki anak usia 4-6 tahun, berdomisili di wilayah Daerah Istimewa Yogyakarta dan sekitarnya. Pemilihan subyek dilakukan secara simple random sampling. Pengumpulan data menggunakan skala keterampilan pengasuhan yang telah diuji validitas dan reliabilitasnya. Analisis data dilakukan dengan menguji perbedaan rerata skor keterampilan pengasuhan ditinjau dari tingkat pendidikan dan lama pernikahan. Hasil penelitian menunjukkan bahwa terdapat perbedaan keterampilan pengasuhan yang signifikan antara orang tua yang berpendidikan tinggi dengan yang bukan berpendidikan tinggi. Tidak terdapat perbedaan keterampilan pengasuhan ditinjau dari lama pernikahan
Pembelajaran jarak jauh: Media Daring untuk Anak Usia Dini di masa pandemi Covid-19
Authors: Kurniasih Dedeh , Wulan Sri , Hapidin Hapidin 
Published: May 2022

Pandemi covid-19 membatasi ruang gerak dan interaksi manusia. Mengharuskan kegiatan dilakukan secara daring, termasuk dalam proses pembelajaran pada anak usia dini. Penelitian ini bertujuan untuk menjawab pertanyaan peneliti tentang bagaimana pembelajaran jarak jauh secara daring yang dilakukan pada anak usia dini di masa pandemic covid-19 dan memperkaya literatur media pembelajaran jarak jauh melalui daring pada anak usia dini. Penelitian ini menggunakan metode studi literatur dengan instrumen utama penelitian kualitatif adalah peneliti sendiri dengan menggunakan format tabel literatur review. Teknik analisis data yang dilakukan adalah reduksi data, penyajian data dan menarik kesimpulan. Berdasarkan hasil kajian literatur pembelajaran jarak jauh melalui daring dapat dilakukan pada anak usia dini. Sumber belajar atau media yang dapat digunakan untuk menghadirkan pembelajaran bermakna selama pembelajaran jarak jauh secara daring pada anak usia dini adalah dengan menggunakan video, pemutaran film, aplikasi multimedia interaktif serta game edukatif. Serta penting bagi guru untuk mengedukasi anak dan orang tua tentang literasi teknologi, sehingga pemanfaatan teknologi dapat memberikan efek positive dalam proses pembelajaran. Peranan orang tua untuk mendampingi anak selama proses pembelajaran juga sangat menentukan terciptanya proses pembelajaran yang bermakna dan tercapainya tujuan pembelajaran
Pola Asuh Orang Tua terhadap Sibling Rivalry pada Anak Usia Dini
Authors: Fitri Imelda , Hotmauli Hotmauli 
Published: May 2022

Sibling rivalry merupakan sikap orang tua suka membandingkan anak, kasus sibling rivalry masih tinggi di Indonesia. Tujuan penelitian ini mengetahui hubungan pola asuh orang tua dengan kejadian sibling rivalry pada anak usia dini. Penelitian ini bersifat kuantitatif dengan desain penelitian deskriptif analitik dengan sampel penelitian sebanyak 96 responden dengan metode pengambilan sampel sistemik random sampling. Penelitian ini dilakukan di TK Yayasan Diniyah Putri. Data di analisa dengan menggunakan uji chi-square, hasil penelitian pola asuh autoritatif dan pola asuh otoriter berpengaruh signifikan terhadap sibling rivalry. Semakin baik sikap dan pola asuh yang diterapkan orang tua (pola asuh authoritatif) maka tingkat kejadian sibling rivalry berkurang. Sedangkan semakin buruk pola asuh orang tua maka kejadian sibling rivalry akan bertambah.
Convolutional Autoencoder for Image Denoising
Authors: Ghafar Abdul , Sattar Usman 
Published: May 2022

Image denoising is a process used to remove noise from the image to create a sharp and clear image. It is mainly used in medical imaging, where due to the malfunctioning of machines or due to the precautions taken to protect patients from radiation, medical imaging machines create a lot of noise in the final image. Several techniques can be used in order to avoid such distortions in the image before their final printing. Autoencoders are the most notable software used to denoise images before their final printing. These software are not intelligent so the resultant image is not of good quality. In this paper, we introduced a modified autoencoder having a deep convolutional neural network. It creates better quality images as compared to traditional autoencoders. After training with a test dataset on the tensor board, the modified autoencoder is tested on a different dataset having various shapes. The results were satisfactory but not desirable due to several reasons. Nevertheless, our proposed system still performed better than traditional autoencoders.
KEYWORDS: image denoising, deep learning, convolutional neural network, image autoencoder, image convolutional autoencoder
Cloud Forensics: Challenges and Solutions (Blockchain Based Solutions)
Authors: Kaleem Hassan , Ijaz Ahmed  
Published: May 2022

Cloud computing is an on-demand service provided for computer resources, data storage and enhancing computing power. Digital forensics is used to help forensic investigators extract evidence against cloud/ cybercriminals and maintain the integrity and security of data stored in a cloud environment. Based on the prior research in this area concerning existing challenges and solutions, this survey focuses on exploring the problems and their proposed solutions on the basis of a detailed literature survey. It critically explores and reviews the prevailing challenges and solutions through an in-depth review of the cloud forensic area. The paper highlights all the current problems in cloud forensics and their solutions previously identified by the researchers to help investigators probe any criminal incident. The three categorization model explores the challenges and solutions of the existing methods and offers directions for future research in this area. Finally, this survey paper can be considered an initiative to carry out research and develop cloud forensic-able services for the cloud environment.
INDEX TERMS: blockchain based solution, cloud forensics, cloud forensics challenges, cloud forensics methodologies, cloud forensics solutions
Machine learning approach for studying the neural underpinnings of dyslexia on a phonological awareness task
Authors: Christoforou Christoforos , Papadopoulos Timothy C. , Theodorou Maria 
Published: May 2022

Understanding the neural underpinnings of dyslexia is an open and fundamental question in developmental neuroscience. A widely agreed causal risk factor for dyslexia is phonological deficit (PD). However, the causal relationships between PD and dyslexia have been primarily investigated and theorized based on findings derived from behavioral measures. What is missing is evidence of the underlying neurophysiological origins of these relationships. The present study examined whether the performance on a phonological awareness task, namely phoneme elision (PE), differentiated children with dyslexia from their typically developing counterparts at a neural level. We proposed a novel machine-learning-based approach to extract neural activity from EEG to identify neural differences at the group level. Specifically, we formulated an optimization problem to first extract informative EEG components (termed phoneme-related neural-congruency components) by maximizing the congruency in neural activity among typically developing children during phoneme elision. Next, we utilized a machine-learning algorithm to optimally combine the resulting components to differentiate between children with dyslexia and controls. Results showed that the proposed phoneme-related neural-congruency components are predictive about the underlying neuronal differences amongst groups. These results provide empirical evidence towards the neural underpinnings of dyslexia and the potential neural origins of PD as a causal link to dyslexia. Notably, the proposed method could be used to study other behaviorally defined developmental disorders.
Toward Multi-Agent Algorithmic Recourse
Authors: O'Brien Andrew , Kim Edward 
Published: May 2022

The recent adoption of machine learning as a tool in real-world decision making has spurred interest in potential harm caused by these methods. Providing those negatively impacted by decisions made by machine learning models with ways to change those decisions is now an important area of machine learning known as algorithmic recourse. Past work has largely focused on the effect algorithmic recourse has on a single agent. In this work, we relax this assumption and examine algorithmic recourse from the multi-agent perspective. We use ideas from game theory to explore challenges from the multi-agent perspective that are unaddressed in the current literature and to propose new criteria to guide future algorithmic recourse research.
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
Authors: Hassan Ismail , Oommen B. John , Yazidi Anis 
Published: May 2022

This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). Classical LA systems that possess properties of absorbing barriers, have been used as powerful tools in game theory to devise solutions that converge to the game's Nash equilibrium under limited information(Sastry, Phansalkar, and Thathachar 1994). Games with limited information are intrinsically hard because the player does not know the actions chosen of other players, neither their outcomes. The player might not be even aware of the fact that he/she is playing against an opponent.
With the state-of-the-art, the numerous works in LA applicable for solving game theoretical problems, can merely solve the case where the game possesses a Saddle Point in a pure strategy.
They are unable to reach mixed Nash equilibria when a Saddle Point is non-existent in pure strategies. Additionally, within the field of LA and RL in general, the theoretical and applied schemes of LA with artificial barriers are scarce, even though incorporating artificial barriers in LA has served as a powerful and yet under-explored concept, since its inception in the 1980’s. More recently, the phenomenon of introducing artificial non-absorbing barriers was pioneered, and this renders the LA schemes to be resilient to being trapped in absorbing barriers. In this paper, we devise a LA with artificial barriers for solving a general form of stochastic bimatrix games. The problem’s complexity has been augmented with the scenario that we consider games in which there is no Saddle Point. By resorting to the above-mentioned powerful concept of artificial reflecting barriers, we propose a LA that converges to an optimal mixed Nash equilibrium even though there may be no Saddle Point when a pure strategy is invoked.
Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests
Authors: Gisick Logan , Phillips Henry , Newton Charles 
Published: May 2022

Close air support (CAS) is a crucial element of joint fire support that requires intricate planning, coordination, and training of various ground and supporting air forces for safe and effective execution. Based on the nature of the target and the availability of additional fire support, synchronizing CAS in time, space, and purpose with supported ground forces is one of the most detailed and continuous integration tasks performed in concert by the joint force, component commanders, and staffs (Joint Publication, 2014). Using SpeechZero, a novel interface that allows non-expert users to customize Automated Speech Recognition (ASR) systems for Department of Defense training applications, SoarTech is creating a training software for Joint Terminal Attack Controller (JTAC) CAS requests. These requests follow a structured verbal protocol called a 9-line. The training software utilizes ASR and generation, which allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Using SoarTech’s SpeechZero ASR software, an individual speaks their 9-line request into a tablet or smartphone which will parse the speech and use AI algorithms to categorize it within the 9-line framework. The utilization of this software for CAS 9-line requests has the potential to produce more effective training and documentation of CAS events which is critical in ensuring the safety of civilians and friendly forces alike.
References
Joint Publication (JP) 3-09.3. Close Air Support, 25 November 2014.
Relation between Phenomenological Features of Perception and Semantics of Singular Terms in the Context of Taste and Desire Attitudes
Authors: Shkabrova M. V. 
Published: May 2022

Introduction. The study of the semantics of singular terms, that is, such expressions of language that are used to designate a single concrete object, which, first of all, can be sensibly perceived and be a component of our practice in the physical sense, has been going on for several decades. But, according to the author, the essence of singular terms still needs to be clarified in many ways. Does analysis require the meaning of singular terms for tools outside the semantics? If so, what tools should be used? We would like to outline some considerations that may help in answering these questions.Methodology and sources. A considerable number of works by famous researchers of the language are devoted to the disclosure and description of possible approaches to the problems of using singular terms (see, for example, the works of B. Russell, M. Cresswell, Z. Vendler, D. Ninan, M. Schwager, etc.). This article attempts to expand the methodology with phenomenological analysis and description, what explain the citation of M. Merleau-Ponty, A. Schutz, E. Husserl, N.V. Motroshilova, and others.Results and discussion. On the one hand, we classify various linguistic units as singular terms, distinguished according to the specificity that their use has. On the other hand, endowing singular terms with a special status, we are forced to ask ourselves about the prerequisites for the «genesis» of such terms. The work demonstrated the necessity and effectiveness of the phenomenological method, which performs the propaedeutic and explanatory functions in relation to the semantic analysis of singular terms itself. The reason for this is the close connection between the natural language and the sensory world as a given, which, as the research has shown, cannot be ignored.Conclusion. The closedness of semantics in itself limits the possibilities of analyzing a natural language, in connection with which it seems to us quite clear the actual need to turn to phenomenology. We tried to illustrate the importance of considering the genetic aspects of the use of singular terms and the relationship of their pre-linguistic genesis with the uniqueness of the status of these linguistic units. Therefore, we have good reasons to turn to the phenomenological description of perception and to assert its conceptual connection with the semantics of singular terms.