bluuebunny/crossref_metadata_2025_split huggingface dataset:
FEATURES OF THE PROFESSIONAL VOCALIST TRAINING IN THE CONDITIONS OF DISTANCE EDUCATION
Authors: Derda I. 
Published: April 2023

We study the use of information technologies in the course of vocalist training under the conditions of distance learning. It is noted that the aim of all educational services is to create a unified educational environment with the association of teachers and students. Attention is paid to the fact that distance learning in music education facilitates the learning process, provides quick access to information, and encourages the vocalist to prepare and engage in creative activities in the classroom and independently.
The article analyzes the platforms for conducting online classes and organizing video and audio conferences at music education institutions in Ukraine, which, in particular, are used by teachers during vocal classes at the Department of Music of the Yuri Fedkovych National University of Chernivtsi. The method of using them is described in the example of such platforms as Zoom, Schoology, and Google Drive.
We consider information technologies of vocalist training in distance learning conditions. They can be divided into online (real-time data exchange) and offline (storage and transmission of information on any electronic device of the addressee, for example, e-mail, video lecture recordings - Gmail, iCloud Mail, I.UA, UKR.NET, Outlook.com, Yahoo! Mail, Zoho Mail, AIM Mail, Inbox.com, ProtonMail, etc.). Offline technologies are effective for organizing consultations, conducting routine monitoring, and checking homework.
It is noted that the COVID-19 pandemic and the outbreak of war by the Russian Federation on the territory of Ukraine have changed the educational process in music education institutions – classes have largely moved from classrooms to online forms. In particular, the most common form of distance learning is a video conferencing platform that provides online communication in the classroom, screen demonstration with sound, video, and audio communication between vocalists and teachers, recordings of the video conference, interactive whiteboard, and administration. The purpose of online services is to provide communication and feedback to all participants in the educational process. The following services and applications are available for collective calls and conferences: Zoom, Google Meet, Google Classroom, Google Hangouts, Moodle, Discord, Skype, Viber, Telegram, etc.
It is established that a high level of information competence of a teacher ensures the effective use of information technologies in the course of vocalist training. Therefore, it is a necessary prerequisite for further improvement of their professional competence and one of the most important indicators of the success of activities. It determines the prospect of further research.
Analysis of the Main Indicators of the Hemostasis System in Patients with Severe Burn Injury and their Relationship with the Outcome
Authors: Скакун П.В. , Жилинский Е.В. , Алексеев С.А. 
Published: April 2023

Введение. Термическая травма является одной из ведущих в структуре внешних причин смерти и связана со значительными социально-экономическими последствиями, которые затрагивают все социальные группы населения. Частым осложнением ожоговой болезни является системная коагулопатия, однако четкие критерии диагностики и лечения коагулопатии у пациентов с тяжелыми ожогами на данный момент отсутствуют, поэтому дальнейшее изучение данного феномена является перспективным. Цель. Проанализировать изменения показателей системы гемостаза у пациентов в раннем периоде ожоговой болезни (периоды ожогового шока и ожоговой токсемии). Материалы и методы. Выполнены анализ медицинской документации и исследование биологического материала 46 пациентов, находящихся на лечении в УЗ «Городская клиническая больница скорой медицинской помощи» в 2019–2022 гг. с целью изучения лабораторных показателей системы гемостаза. Результаты и заключение. При анализе системы гемостаза у пациентов с ожоговой болезнью при неблагоприятном исходе в 1–3-и сутки уровни АЧТВ, ПТВ были достоверно выше, чем у пациентов с благоприятным исходом, что отражает более тяжелые гипокоагуляционные изменения у умерших пациентов и может быть использовано для создания систем прогнозирования развития жизнеугрожающих нарушений свертывания у тяжелообожженных.
Introduction. Thermal injury is one of the leading external causes of death in the structure and is associated with significant socio-economic consequences that affect all social groups of the population. A frequent complication of burn disease is systemic coagulopathy, however, there are currently no clear criteria for the diagnosis and treatment of coagulopathy in patients with severe burns, so further study of this phenomenon is promising. Purpose. To analyze changes in the parameters of the hemostasis system in patients in the early period of burn disease (periods of burn shock and burn toxemia). Materials and methods. The analysis of medical documentation and the study of biological material of 46 patients treated at the City Clinical Emergency Hospital in 2019–2022 was carried out. in order to study the laboratory parameters of the hemostasis system. Results and conclusion. When analyzing the hemostasis system in patients with burn disease with an unfavorable outcome on days 1–3, the levels of APTT and PTT were significantly higher than in patients with a favorable outcome, which reflects more severe hypocoagulation changes in deceased patients and can be used to create systems predicting the development of life-threatening coagulation disorders in severely burned patients.
Occlusion effects by bone-conducted sound to the facial parts assessed by hearing threshold and ear canal sound pressure
Authors: Miwa Asuka , Otsuka Sho , Nakagawa Seiji 
Published: April 2023

Abstract
Bone conduction (BC) is used in devices such as hearing aids and earphones. Audio devices using BC on the face have been developed; however, limited research has addressed the perception of BC sounds on the face. BC also entails an occlusion effect (OE), wherein the loudness of low-frequency sounds is enhanced when the ear canal is occluded. We evaluated the characteristics of OE by measuring hearing thresholds and ear canal sound pressure (ECSP) during BC stimulation of several facial parts. We compared them with those of conventionally used parts. OE, the difference in hearing thresholds between the open and occluded ears, was equal to or larger than that of conventionally used parts. The difference in ECSP was smaller than that in OE, indicating that BC components transmitted to the middle and inner ears affected OE in these facial parts. The complicated structure of the face may have affected the results.
Mechanism analysis of CuInS2 and Cu(In,Ga)S2 growth via KCN- and H2S-free process and solar-cell application
Authors: Suzuki Yota , Egyna Dwinanri , Shibata Tomoki , Nishimura Takahito , Yamada Akira 
Published: April 2023

Abstract
In this article, CuInS2 (CIS) and Cu(In,Ga)S2 (CIGS) absorbers are prepared via sulfurization by a sulfur powder source for co-evaporated Cu–In(–Ga) metal precursors without toxic KCN and H2S. The CIS and CIGS growth mechanism during sulfurization and their application to solar cells are discussed. X-ray diffraction and Raman spectroscopy analyses indicate that CuS and (In,Ga)2S3 exist at the frontside and the backside, respectively, in the CIGS films at the temperature between 250 °C and 350 °C. Then, these intermediate phases react at 400 °C or higher forming CIGS. Finally, CIS and CIGS solar cells with efficiencies of 3.7% and 7.2% are achieved, utilizing an optimum temperature of 600 °C.
Penerapan Metode Pembelajaran Explicit Instruction (EI) Untuk Meningkatkan Pemahaman Konsep Siswa Sekolah Dasar
Authors: Armadi Meissy , Nazlimar Nazlimar 
Published: April 2023

Penelitian ini bertujuan untuk meningkatkan pemahaman konsep siswa melalui metode pembelajaran explicit instruction di kelas V Sekolah Dasar Negeri 016 Bukit Ranah. Penelitian ini dilatarbelakangi oleh rendahnya tingkat pemahaman konsep siswa. Penelitian ini merupakan penelitian tindakan kelas. Subjek dalam penelitian ini adalah 1 orang guru dan 13 orang siswa. Penelitian ini dilaksanakan degan 2 siklus yang masing-masing siklus terdiri dari 2 pertemuan. Teknik pengumpulan data menggunakan tes tertulis dan dokumentasi. Berdasarkan hasil penelitian menunjukkan bahwa penerapan metode explicit instruction dapat meningkatkan pemahaman konsep siswa. Hal ini dapat dilihat dari hasil rata-rata tes pemahaman konsep peserta didk sebelum tindakan hanya mencapai rata-rata 55,76 dengan ketegori kurang. Setelah dilakukan tindakan pada siklus I mencapai 71,92 dengan kategori cukup. Dan meningkat pada siklus II menjadi 85 dengan kategori baik. Dengan demikian dapat disimpulkan bahwa penerapan metode explicit instruction daat meningkatkan pemahaman konsep siswa kelas V Sekolah Dasar Negeri 016 Bukit Ranah.<div> </div><div>Kata Kunci : Metode Explicit Instruction, Pemahaman Konsep, dan Sekolah Dasar.</div>
Nilai Karakter Gotong Royong Dalam Pendidikan Pancasila Kelas IV di Sekolah Implementasi Dasar
Authors: Hanafiah Diana , Martati Badruli , Mirnawati Lilik Binti 
Published: April 2023

<p><em>Penelitian ini bertujuan untuk mengetahui pengimplementasian karakter gotong royong pada saat pembelajaran pendidikan pancasila. Penelitian menggunakan metode deskriptif kualitatif dengan subyek penelitian guru kelas IV A, kepala sekolah dan siswa kelas IV A di SD Muhammadiyah 13 Surabaya. Teknik pengumpulan data yang di gunakan pada penelitian ini yaitu menggunakan trianggulasi teknik dan triangulasi sumber. Triangulasi teknik di dapatkan dari hasil observasi siswa dan dokumentasi, sedangkan triangulasi sumber di dapatkan dari hasil wawancara kepala sekolah dan guru kelas, serta dokumentasi berupa gambar. Hasil penelitian ini menyatakan, implementasi karakter gotong royong sudah ada beberapa indikator telah terpenuhi di dalam kelas IV A yaitu tolong-menolong, solidaritas dan menghargai, akan tetapi masih terdapat indikator lain yang belum di terapkan oleh siswa dalam kehidupan sehari-hari. Pendidikan karakter gotong royong pada mata pelajaran pendidikan Karakter ini dapat dijadikan sebagai modal siswa di lingkungan sekitarnya, karena gotong royong sendiri merupakan kegiatan sosial yang sering dilakukan di tengah kehidupan masyarakat</em><em>.</em></p><p><em>Kata Kunci <strong>: </strong></em><em>Nilai Karakter, Pendidikan Pancasila, Gotong Royong</em><em></em></p>
Resource-efficient PUF Implementation Through FPGA Resource Re-utilization
Authors: Vega Christopher 
Published: April 2023

<p>The Field Programmable Gate Array (FPGA) market has seen significant growth due to the low cost and reduced time to market when compared to ASIC circuits. However, FPGAs' reconfigurable nature introduces security vulnerabilities that can be exploited by adversaries to obtain sensitive information. Physical Unclonable Functions (PUFs) have shown to be valuable security primitives. By leveraging manufacturing variations in a device one can generate unique signatures that can be used for authentication and generation of secret keys. However, PUF implementation can be costly, taking up FPGA resources and requiring long design times. In this paper, we propose a method which takes advantage of the FPGA Look Up Table (LUT) architecture to embed the PUF into functional logic circuits, reducing the cost and design time. We provide detailed implementation guidelines and evaluate the PUF's signature quality and stability under different environmental variations using a set of testbench circuits. Our results demonstrate the effectiveness of our method in securing FPGA designs while reducing implementation costs and design time. </p>
EEG-to-EEG: Scalp-to-Intracranial EEG Translation using a Combination of Variational Autoencoder and Generative Adversarial Networks
Authors: Abdi-Sargezeh Bahman , valentin antonio , Alarcon Gonzalo , Sanei Saeid 
Published: April 2023

<p>A generative adversarial network (GAN) enables mapping a data sample from one domain to another one. It has extensively been employed in image-to-image and text-toimage translation. We propose an EEG-to-EEG translation model based on a GAN structure in which a conditional GAN (cGAN) is combined with a variational autoencoder (VAE), named as VAE-cGAN. Scalp EEG (sEEG) is plagued by noise and suffers from low resolution. On the other hand, intracranial EEG (iEEG) recordings enjoy high resolution. Here, we consider the task of mapping the sEEG to iEEG to enhance the sEEG resolution. <br>
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A Primary-side Maximum Efficiency Transfer Solution in Wireless Power Transfer Systems: Theory and Validation
Authors: Celentano Andrea , Paolino Carmine , Pareschi Fabio , Valente Virgilio , Rovatti Riccardo , Serdijn Wouter A. , Setti Gianluca 
Published: April 2023

<p>In this paper, we investigate the primary-side control of a Wireless Power Transfer (WPT) link, i.e., the capability of delivering the optimal power level to the load without compromising system efficiency, by only sensing quantities available at the primary side. When adding a simple power regulator at the secondary side, we observe and analyze the existence of a Maximum Efficiency Transfer point, easily detectable at the primary side, and corresponding to the additional power regulator being barely on, with negligible dissipated power. More important, the approach does not require any advanced system modeling, nor the estimation of the system parameters. A theoretical model is developed and verified by measurements on a prototype built upon a 60 mW-class-E based WPT link working at 6.78 MHz.</p>
When Technical Solutions aren’t Enough: Using Software Concepts to Analyse Challenges at Delivery Processes between Mixed-Signal IC Team Members
Authors: Pereira Vidigal Tiago , Prodanov William , Rocha Carla 
Published: April 2023

<p>Scientific works on integrated circuits usually focus on technical challenges and contribute to improving the solutions. They often neglect intertwined social aspects that highly impact project success, as shown in recent Software Engineering research. This work is a case study to identify challenges in delivery processes between digital and analog disciplines on mixed-signal projects at a specific design house, considering technical and social perspectives. We performed 17 semi-structured interviews and examined the available process documents, analyzing the data using Socio-Technical Grounded Theory. We mapped 14 constructs, 13 propositions, and two explanations to identify those challenges faced by mixed-signal teams. This study contributes to the discussion of social aspects of Semiconductor’s scientific works and presents a list of possible delivery challenges in the context of the focal company. The proposed root causes are the incipient specification processes and the lack of practices related to collaboration in cross-functional teams. Requirement Engineering and DevOps studies provide insights to define implications for improvement in the organization. </p>
Artificial intelligence to detect buried objects
Authors: Gharamohammadi Ali , Shaker George , Crowley Mark 
Published: April 2023

<p> The detection of targets under the ground is an important procedure that is typically performed by a human non-automatically. Recent studies have automated this process using artificial intelligence (AI) based on radar images. There are three main steps before feeding reconstructed radar images to a neural network. The first step is segmentation which can make the detection task straightforward. We have proposed an Otsu-based segmentation algorithm in this paper. The proposed segmentation algorithm is effectively able to distinguish between all the targets. In the second step before employing AI to detect targets, a local sliding window has been taken into consideration to improve the results. The image is divided into smaller parts by this sliding window after it has been reconstructed. In the third step, two different methods have been considered for data augmentation. The first method is a novel approach for generating synthetic radar data. It is applied before radar image reconstruction based on the summation of two receivers’ signals with different coefficients. In the second augmentation method, some conventional data augmentation methods like flip and rotating are applied to complete this task. To discriminate targets from background, it is necessary to classify input images to AI-based aproaches. This task can be accomplished by classical machine learning approaches like the scalar vector machine (SVM). Gabor filters have been utilized in this paper to extract the features. There also exist two classification approaches using convolutional neural networks (CNN) to automatically detect targets after image reconstruction. Two different CNN have been implemented. Without data augmentation, the SVM-based approach works better than CNN, and its accuracy is 86.9%. Overall, the second CNN algorithm outperformed SVM after the data augmentation by reaching 96% accuracy. </p>
Simplified modelling of frequency dependent network for converter control system design
Authors: Nesterov Dimitri 
Published: April 2023

<p>The integration of renewable generation in the energy mix has led to a massive penetration of converter-interfaced generators (CIG) in the electrical network. However, CIG's is reported to be susceptible to interactions with electrical resonances and other equipment. It became common practice to conduct electromagnetic transient (EMT) studies to assess these risks, define the mitigation measures and design the control systems. To perform the controllers design efficiently, the EMT analysis can be complemented with an analysis of linearized systems, for which numerous efficient methods have been developed.</p>
<p> The paper presents a method to construct the linearized system which is believed to be sufficiently accurate for being used for controllers tuning, and sufficiently simple to be efficiently used on real-life cases. It takes into account the frequency dependent electrical network, and is based on the approach previously used for torsional analyses, but applied to a wider spectrum. It is illustrated on a simple numerical example, demonstrating the challenges that the electrical resonances might pose on the stability margins. A comparison of the results obtained from linearized model and EMT model is presented, aiming to validate the findings from the linearized model and the proposed approach.</p>
MiFL: Multi-Input Neural Networks in Federated Learning
Authors: Casella Bruno , Riviera Walter , Aldinucci Marco , Menegaz Gloria 
Published: April 2023

<p>Driven by the Deep Learning (DL) revolution, Artificial intelligence (AI) has become a fundamental tool for many Bio-Medical tasks, including AI-assisted diagnosis. These include analysing and classifying images (2D and 3D), where, for some tasks, DL exhibits superhuman performance. Diagnostic imaging, however, is not the only diagnostic tool. Tabular data, such as personal data, vital signs, and genomic/blood tests, are commonly collected for every patient entering a clinical institution. However, it is rarely considered in DL pipelines, although it carries diagnostic information. The training of DL models requires large datasets, so large that every institution might need more data that should be pooled from different sites. Data pooling generates newfound concerns about data access and movement across other institutions spawning multiple dimensions, such as performance, energy efficiency, privacy, criticality, and security. Federated Learning (FL) is a cooperative learning paradigm aiming at addressing these concerns by moving models instead of data across different institutions. This paper proposes a Federated multi-input model that leverages images and tabular data, providing a proof of concept of the feasibility of multi-input FL architectures. The proposed model was evaluated on two showcases: the prognosis of CoViD-19 disease and the patients’ stratification for Alzheimer’s disease. Results show that enabling multi-input architectures in the FL framework allows for improving the performance regarding both accuracy and generalizability with respect to non-federated models while ensuring security and data protection peculiar to FL.</p>
An Integrated Dual-mode Pulse-echo Ultrasonic Measurement System Under Pulsed/Static Magnetic Field
Authors: Qiu Wenjie , Zhang Jian , Luo Yongkang , Han Xiaotao 
Published: April 2023

<p>Ultrasonic measurements at high magnetic field and low temperature necessitate ultra-fast excitations, ultra-high dynamic range of duty-cycle adjustments, as well as real-time, precise and automatic analysis. This paper proposes a dual-mode ultrasonic measurement system, which means the capability of carrying out acoustic measurements in both pulsed and static high magnetic field with low temperature. Based on the “counter-delay-chain” series structure and adaptive jitter compensation in the field-programmable-gate-array(FPGA), the timing control accuracy of 5 nanoseconds and the timing jitter below 160 picoseconds are realized for high-resolution excitation generation and precise sampling window adjustment. The duty cycle adjustment achieves a high dynamic range from 0.23 ppb to 10 % to realize both pulsed field mode and static field mode (denoted as PF-mode and SF-mode) ultrasonic measurements. The independent sampling window adjustment reduces the data size by more than 80%, extends the maximum testing duration and reduces the analysis consuming. Combined with the automatic cross-correlation analysis method, this system can automatically carry out PF-mode tests with a repetition rate above 100 kHz and SF-mode tests for hours with sound velocity accuracy of 2%. Experiments have proved the reliability and feasibility of the system and revealed its application prospect in condensed matter physics experiments. </p>
Noise Driven Coupled Nonlinear Systems: A “Dynamical Multilayer Perceptron” Demonstrating XOR Functionality
Authors: de la Houssaye Paul , Mauger Justin , Hutchens Chriswelll , Bulsara Adi , Migliori Benjamin 
Published: April 2023

<p>Coupled dynamical systems, especially those comprised of hysteretic elements, possess remarkable behavioral similarities to some aspects of neural activity in living systems. While some features of this similarity have been explored, the results have not yet been leveraged to improve machine learning techniques or artificial neural networks. In this work, a dynamical system of coupled overdamped bistable elements subject to a noise floor assists in information transfer. With the noise allowing the system elements to switch randomly between their stable states, the system response is quantified via a steady state probability distribution. A simple five element realization of this network is used to produce the analog equivalent of an XOR gate, an “XOR transform”, through the proper choice of coupling coefficients and controllable external biases. The demonstration of the XOR transform indicates the ability of the system to synthesize more general functions, a necessary prerequisite for machine learning and computing applications. Finally, a silicon implementation is proposed and simulated using a verified process model that could be fabricated to generate a working analog computing system.</p>