bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the reliability of the amplification and switching unit of on-board radio telemetry equipment
Authors: Овейчук И.А. , Скворцов Р.В. 
Published: November 2021

В настоящей статье представлены научные результаты решения задачи повышения надёжности и технологичности бортовой радиотелеметрической аппаратуры. Рассмотрены 3 варианта решения поставленной задачи и выбран наиболее перспективный - замена ЭРИ на источники вторичного питания. Данный метод показал наиболее высокие характеристики по сравнению с аналогичными методами. Приведённые расчёты наглядно показывают эффективность предложенного метода.
This article presents the scientific results of improving the reliability and manufacturability of on-board radio telemetry equipment. We considered 3 variants of the solution of the task and choose the most promising - the replacement of radio elements with secondary power sources. This method demonstrates the highest characteristics compared to similar methods. The above calculation clearly demonstrates the effectiveness of the proposed method.
Implementing Massively Parallel Architecture in a Web Service
Authors: Аббасова Т.С. 
Published: November 2021

Проанализированы пути снижения времени выполнения запроса к web-сервису от базы данных. Разработана схема массово-параллельной архитектуры для повышения показателя скорости приёма и обработки информации. Изменена система организации потоков информации, применён новый тип системы хранения информации. Предложены аналитические соотношения для определения снижения времени обращения к веб-сервису хранилища данных.
The ways of reducing the execution time of a request to a web service from a database are analyzed. A scheme of massively parallel architecture has been developed to increase the rate of information reception and processing. The system for organizing information flows has been changed, a new type of information storage system has been applied. Analytical relationships are proposed to determine the reduction in the access time to the data warehouse web service.
A INSERÇÃO E AS CONTRIBUIÇÕES DOS INSTITUTOS FEDERAIS À FORMAÇÃO DE PROFESSORES
Authors: Ferreira Gustavo Lopes , Gastal Maria Luiza de Araújo 
Published: November 2021

No artigo, questionamos: quais seriam os motivos da atribuição aos IFs da função de formar professores? Com que prerrogativas legais os IFs realizam esse trabalho? Em quais regiões do Brasil predominam seus cursos de formação de professores? Quais cursos são privilegiados? Que contribuições os IFs têm dado ou podem dar à formação professores? Para respondê-las utilizamos como fonte documental pesquisas sobre o tema dos IFs e da formação de professores, a Lei nº 11.892/2008, bem como dados da Plataforma Nilo Peçanha. As licenciaturas nos IFs supririam parte da carência de professores no país, contribuíram para a universalização do Ensino Médio e poderiam resolver o problema da atuação de tecnólogos e/ou bacharéis na docência. Até o ano de 2018, há 647 campi de IFs, oferecendo 26 licenciaturas, distribuídas em 771 cursos, sendo 62,3% da área de ciências e matemática, 25,5% de ciências humanas e sociais e 12,2% de formação de professores para EPT. As contribuições dos IFs à formação de professores levam em conta a qualidade da Educação Básica de nível médio e da EPT e ainda o fato de que os IFs podem ampliar a formação docente para as áreas da EPT, que tanto sofrem por falta de professores especializados.
Synthesis and Catalytic Application of Ru-Deposited Magnetic Nanoparticles for the Selective Hydrogenation of CO2 Gas
Authors: Gautam Prashant , Srivastava Vivek 
Published: November 2021

:In this report, a hybrid terpyridine (tpy) ligand functionalize with magnetic support was synthesized to obtain well-dispersed Ru NPs with a 2.0±0.5 nm mean size. This material was further analyzed using different analytical techniques before utilizing it as a catalyst for the CO2 hydrogenation reaction. A noticeable application of Ru-deposited magnetic nanoparticles as catalysts was observed during the CO2 hydrogenation. We successfully synthesized the formic acid with a high TON value under high-pressure reaction conditions. Easy recovery of the catalyst under the applied magnetic field helped us to reuse the catalyst up to 6 times with good TON and TOV value.
Health-Related Quality of Life and Undergraduate Nursing Students: A Narrative Review
Authors: Wübbeler Markus , Geis Sebastian , Teigelake Björn , Schoening Sabine 
Published: November 2021

Background:Undergraduate nursing students are vulnerable to stressful university learning environments and poor working conditions in clinical rotations. This can result in students leaving nursing programs or abandoning the profession following graduation. As a result, the health-related quality of life of nursing students is an important indicator to monitor student quality of life adequacy. Preventing premature student nurses' departure from the profession is necessary to reduce the nursing shortage.Objective:To describe the body of knowledge about the health-related quality of life for undergraduate nursing students during their qualification process.Methods:This was a narrative review through a six-database search, including Cochrane, CINAHL, Pubmed, Medline, PsycINFO and Livivio, from between January 1990 and June 2018, with updates in the search followed until November 2019. To assess study quality, the STROBE checklist was used.Results:Eight studies were included in a narrative synthesis. All studies were of cross-sectional design, and none included follow-up procedures. Most of the studies recruited participants from nursing courses and only one study recruited students from a national register. Sample sizes ranged from 110 individuals to 4,033 participants in the register-based study. Common health-related dimensions evaluated included stress, social support, mental health, fatigue, quality of life, and drug abuse. Stress, the most commonly studied dimension, was associated with clinical placements, final exams, and non-prescribed drugs. Social support networks were positively associated with coping abilities and self-esteem.Conclusion:There is low-quality evidence of the impact of nursing courses upon student health-related dimensions (stress, self-esteem, health-related behaviors). Nurse educators should be aware of these associations and support routine screening of students and their health-related dimensions. Interventions, such as consultation and study redesign, might increase the level of health-related dimensions. Nursing schools should further collaborate to investigate these associations and tailored interventions to positively affect health-related dimensions in nursing students.
Adaptive Probabilistic Neuro-Fuzzy System and its Hybrid Learning in Medical Diagnostics Task
Authors: Bodyanskiy Yevgeniy , Deineko Anastasiia , Pliss Iryna , Chala Olha 
Published: November 2021

Background:
The medical diagnostic task in conditions of the limited dataset and overlapping classes is considered. Such limitations happen quite often in real-world tasks. The lack of long training datasets during solving real tasks in the problem of medical diagnostics causes not being able to use the mathematical apparatus of deep learning. Additionally, considering other factors, such as in a dataset, classes can be overlapped in the feature space; also data can be specified in various scales: in the numerical interval, numerical ratios, ordinal (rank), nominal and binary, which does not allow the use of known neural networks. In order to overcome arising restrictions and problems, a hybrid neuro-fuzzy system based on a probabilistic neural network and adaptive neuro-fuzzy interference system that allows solving the task in these situations is proposed.

Methods:
Computational intelligence, artificial neural networks, neuro-fuzzy systems compared to conventional artificial neural networks, the proposed system requires significantly less training time, and in comparison with neuro-fuzzy systems, it contains significantly fewer membership functions in the fuzzification layer. The hybrid learning algorithm for the system under consideration based on self-learning according to the principle “Winner takes all” and lazy learning according to the principle “Neurons at data points” has been introduced.

Results:
The proposed system solves the problem of classification in conditions of overlapping classes with the calculation of the membership levels of the formed diagnosis to various possible classes.

Conclusion:
The proposed system is quite simple in its numerical implementation, characterized by a high speed of information processing, both in the learning process and in the decision-making process; it easily adapts to situations when the number of diagnostics features changes during the system's functioning.
Modeling and Methods of Statistical Processing of a Vector Rhytmocardiosignal
Authors: Lytvynenko Iaroslav , Lupenko Serhii , Onyskiv Petro , Zozulia Andriy 
Published: November 2021

Aims:
We have developed a new approach to the study of human heart rate, which is based on the use of a vector rhythmocardiosignal, which includes as its component the classical rhythmocardiosignal in the form of a sequence of heart cycle durations in an electrocardiogram.

Background:
Most modern automated heart rate analysis systems are based on a statistical analysis of the rhythmocardiogram, which is an ordered set of R-R interval durations in a recorded electrocardiogram. However, this approach is not very informative, since R-R intervals reflect only the change in the duration of cardiac cycles over time and not the entire set of time intervals between single-phase values of the electrocardiosignal for all its phases.

Objective:
The aim of this paper is to present a mathematical model in the form of a vector of stationary and permanently connected random sequences of a rhythmocardiosignal with an increased resolution for its processing problems. It shows how the vector rhythmocardiosignal is formed and processed in diagnostic systems. The structure of probabilistic characteristics of this model is recorded for statistical analysis of heart rate in modern cardiodiagnostics systems.

Methods:
Based on a new mathematical model of a vector rhythmocardiosignal in the form of a vector of stationary and permanently connected random sequences, new methods for statistical estimation of spectral-correlation characteristics of heart rate with increased resolution have been developed.

Results:
The spectral power densities of the components of the vector rhythmocardiosignal are justified as new diagnostic features when performing rhythm analysis in modern cardiodiagnostics systems, complementing the known signs and increasing the informative value of heart rate analysis in modern cardiodiagnostics systems.

Conclusion:
The structure of probabilistic characteristics of the proposed mathematical model for heart rate analysis in modern cardiodiagnostics systems is studied. It is shown how the vector rhythmocardiosignal is formed, and its statistical processing is carried out on the basis of the proposed mathematical model and developed methods.
An Approach to Early Diagnosis of Pneumonia on Individual Radiographs based on the CNN Information Technology
Authors: Radiuk Pavlo , Barmak Olexander , Krak Iurii 
Published: November 2021

Aim:This study investigates the topology of convolutional neural networks and proposes an information technology for the early detection of pneumonia in X-rays.Background:For the past decade, pneumonia has been one of the most widespread respiratory diseases. Every year, a significant part of the world's population suffers from pneumonia, which leads to millions of deaths worldwide. Inflammation occurs rapidly and usually proceeds in severe forms. Thus, early detection of the disease plays a critical role in its successful treatment.Objective:The most operating means of diagnosing pneumonia is the chest X-ray, which produces radiographs. Automated diagnostics using computing devices and computer vision techniques have become beneficial in X-ray image analysis, serving as an ancillary decision-making system. Nonetheless, such systems require continuous improvement for individual patient adjustment to ensure a successful, timely diagnosis.Methods:Nowadays, artificial neural networks serve as a promising solution for identifying pneumonia in radiographs. Despite the high level of recognition accuracy, neural networks have been perceived as black boxes because of the unclear interpretation of their performance results. Altogether, an insufficient explanation for the early diagnosis can be perceived as a severe negative feature of automated decision-making systems, as the lack of interpretation results may negatively affect the final clinical decision. To address this issue, we propose an approach to the automated diagnosis of early pneumonia, based on the classification of radiographs with weakly expressed disease features.Results:An effective spatial convolution operation with several dilated rates, combining various receptive feature fields, was used in convolutional layers to detect and analyze visual deviations in the X-ray image. Due to applying the dilated convolution operation, the network avoids significant losses of objects' spatial information providing relatively low computational costs. We also used transfer training to overcome the lack of data in the early diagnosis of pneumonia. An image analysis strategy based on class activation maps was used to interpret the classification results, critical for clinical decision making.Conclusion:According to the computational results, the proposed convolutional architecture may be an excellent solution for instant diagnosis in case of the first suspicion of early pneumonia.
Withdrawal Notice: An Insight to nCOVID-19 Associated Coagulopathy
Authors: Ashique Sumel , Khatun Tahamina 
Published: November 2021

The article has been withdrawn at the request of the editor of the journal Current Drug Research Reviews due to incoherent content.

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Green Communication Infrastructure (GCI) Serving Different Smart City
Applications
Authors: Ali Qutaiba I. , Jafar Issam 
Published: November 2021

Aims:
The aim of the Green Communication Infrastructure (GCI) project is to understand
the idea of a self "sustainably" controlled correspondence foundation fitting for smart city
application fields.

Background:
This paper shows the endeavors to understand the idea of a self "sustainably" energized
communication foundation fitting for smart city application fields. The recommended Green
Communication Infrastructure (CGI) comprises different kinds of remote settled (or even versatile)
hubs performing diverse activities as per the application requests. An imperative class of these
hubs is the Wireless Solar Router (WSR).

Objective:
The work in this venture was begun in 2009 with the aim of demonstrating the essential
advances that must be taken to accomplish such framework and proclaim the value of embracing
natural vitality assets in building mission basic frameworks. Alternate destinations of this venture
are introducing a sensibly cost effective, solid, verified, and simple to introduce correspondence
foundation.

Method:
The arrangement to actualize the GCI was accomplished after passing through two structural
levels: device level and system level.

Result:
The suggested system is highly applicable and serves a wide range of smart city application
fields and hence many people and organizations can utilize this system.

Conclusion:
The presence of a reliable, secured, low cost, easy to install and self-powered communication
infrastructure is mandatory nowadays. The communities in developing countries or in
rural areas need such a system in order to communicate with other people in the world which will
their social and economic situations positively.
IMPLEMENTASI KONVENSI ANTI DISKRIMINASI PEREMPUAN DALAM POLITIK HUKUM INDONESIA
Authors: Halili Halili 
Published: November 2021

Penelitian ini bertujuan untuk mengkaji implementasi Konvensi Anti Diskriminasi terhadap Perempuan (Convention on the Elimination of all forms of Discrimination Against Women/CEDAW) dalam politik hukum Indonesia pada umumnya. Selain itu, juga untuk mengkaji kelemahan-kelemahan dalam politik hukum Indonesia yang terkait dengan perlindungan terhadap perempuan sebagaimana digariskan dalam Konvensi tersebut. Penelitian ini merupakan studi literer yang ditulis dengan menggunakan pendekatan kualitatif-deskriptif. Sumber data penelitian ini adalah jenis paper. Teknik pengumpulan data yang digunakan adalah studi literature dan dokumentasi. Instrumen penelitian ini adalah peneliti sendiri dengan bantuan chek list dan recording note. Check list dan recording note tersebut digunakan untuk melacak dan merekam data yang dihasilkan melalui studi literatur dan dokumentasi. Pengujian keabsahan data menggunakan triangulasi. Langkah-langkah analisis yang digunakan dalam penelitian ini adalah analisis data kualitatif, meliputi reduksi data, display data, kesimpulan dan verifikasi. Hasil penelitian ini menunjukkan: 1) Konvensi Anti Diskriminasi Perempuan tersebut sudah mulai dilaksanakan secara parsial melalui beberapa peraturan perundang-undangan, antara lain UU Kesehatan, UU Pemberantasan Tindak Pidana Perdagangan Orang, UU Paket Politik (yang terdiri dari UU Pemilihan Umum DPR, DPD, dan DPRD, UU Pemilihan Presiden, UU Partai Politik, dan UU Penyelenggara Pemilihan Umum). 2) Implementasi Konvensi tersebut berimplikasi pada dua kecenderungan. Pertama, munculnya kecenderungan politik afirmatif bagi perempuan dalam berbagai bidang. Perempuan ditempatkan sebagai identitas yang membutuhkan pengakuan khusus atau istimewa secara formal dibandingkan dengan laki-laki. Kedua, mencoloknya warna aliran hukum feminis dalam hukum positif. Hukum positif merupakan turunan dari filsafat positivism hukum (legal positivism) yang mendoktrinkan netralitas dan objektivitas hukum demi terciptanya kepastian hukum. Dengan implementasi Konvensi tersebut, sangat menonjol warna hukum yang berpihak pada perbendaan gender sebagaimana didoktrinkan oleh aliran hukum feminis. 3) Implementasi Konvensi tersebut dalam Politik Hukum Indonesia masih mengandung beberapa kelemahan fundamental, antara lain pada aspek materi hukum, dari aspek aparat penegak hukum serta sistem penghukumannya
PENGEMBANGAN ALAT UKUR KESANTUNAN BAHASA INDONESIA DALAM INTERAKSI SOSIAL FORMAL BERSEMUKA
Authors: Zamzani Zamzani , Musfiroh Tadkiroatun , Maslakhah Siti , Listiyorini Ari , Rahayu Yayuk Eny 
Published: November 2021

Penelitian ini bertujuan (1) mengembangkan alat ukur kesantuanan bahasa Indonesia dalam tuturan formal bersemuka; (2) melakukan uji lapangan terbatas terhadap alat ukur kesantunan bahasa Indonesia dalam interaksi sosial formal bersemuka; (3) mengembangkan alat ukur kesantunan dalam bentuk VCD interaktif dengan program komputer. Adapun manfaat yang dapat dipetik adalah (1) acuan untuk mengukur kesopanan dalam bertindak tutur formal bersemuka, (2) gambaran alat ukur kesantunan formal bersemuka (3) acuan mengukur derajat kesantunan atau kesopanan pada pengguna bahasa Indonesia dalam berbagai kelas sosial. Penelitian ini didasarkan pada empat alasan. Pertama, kesantunan berbahasa merupakan unsur penting dalam membina karakter positif masyarakat tutur Indonesia. Kedua, selalu ada potensi negatif dalam komunikasi lintas kultur dan lintas sosial karena belum ada alat ukur kesantunan dalam bahasa Indonesia. Ketiga, prinsip kesantunan berbahasa yang ada masih mengacu Barat yang belum tentu sesuai dengan kultur Indonesia. Keempat, alat ukur kesantunan dapat dimanfaatkan sebagai media pembina kesantunan berbahasa dalam berbagai ranah dan satuan pendidikan. Sebagai pendekatannya, digunakan pendekatan riset dan pengembangannya atau Research and Development (R D). Penelitian ini dilaksanakan selama tiga tahun. Pada penelitian tahun pertama telah dihasilkan indikator-indikator kesantunan berbahasa Indonesia. Pada penelitian tahun kedua dilakukan pengembangan alat ukur kesantunan yang didasarkan pada indikator keuniversalan konsep kesantunan masyarakat penutur bahasa Indonesia dalam situasi formal bersemuka yang ditemukan di tahun pertama. Pada akhirnya, pada penelitian tahun ketiga ini dihasilkan alat ukur kesantunan berbahasa Indonesia dalam bentuk VCD interaktif dengan program computer. Pada penelitian tahun ketiga ini, yang telah dicapai adalah menghasilkan dan menggandakan produk alat ukur dalam bentuk VCD interaktif serta melakukan sosialisasi alat ukur melalui pelatihan terhadap guru, dosen, mahasiswa, dan instansi-instansi lain calon pengguna alat ukur ini
PEMBERDAYAAN MASYARAKAT DESA DALAM MELAKSANAKAN REVITALISASI BUDAYA LOKAL “BERSIH DESA” DI KETINGAN, SLEMAN
Authors: Sutiyono Sutiyono , Seriati Ni Nyoman 
Published: November 2021

Dalam penelitian ini dikaji tentang pemberdayaan masyarakat dalam mendukung revitalisasi budaya lokal. Tujuan penelitian ini adalah ingin melihat upaya konkrit apa saja yang digunakan untuk memberdayakan masyarakat Desa Ketingan dalam melaksanakan revitalisasi budaya lokal “bersih desa”. Penelitian ini dilaksanakan di daerah Ketingan, Sleman, Propinsi Daerah Istimewa Yogyakarta. Waktu penelitian ditentukan selama 8 bulan, yaitu mulai bulan Maret hingga Oktober 2011. Untuk memperoleh data penelitian dilakukan dengan mempergunakan teknik observasi, wawancara, dan dokumen- tasi. Sebagai pendekatan yang digunakan dalam penelitian ini adalah pendekatan deskriptif. Hasil Penelitian menunjukkan sebagai berikut. Pertama, upaya konkrit untuk memberdayakan masyarakat desa dalam melaksanakan “Bersih Desa” di Ke- tingan Sleman meliputi: pertama, Rencana Pemberdayaan Masyarakat, identifikasi kelompok-kelompok masyarakat Desa Ketingan yang potensial, identifikas kekayaan lokal, uapaya pemberdayaan masyarakat secara optimal, sosialisasi pemberdayaan; kedua Bersih (1) Acara ritual hadir bakti, (2) Doa bersama, (3) Uraian ritual, (4) Ubo rampe, (5) Acara kirab, (6) Pentas gejok lesung, (7) Pentas wayang kulit, (8) Masak- masak, (9) Gununganuntuk kirab, (10) Biaya, dan yang keempat, Revitalisasi Budaya Lokal, upaya konkrit untuk merevitalisasi budaya lokal dalam melaksanakan “Bersih Desa” di Ketingan Sleman adalah dengan melakukan pembinaan budaya kepada gene- rasi muda dengan label kaderisasi atau regenerasi seniman di desa. Desa, dengan rangkaian acara menjalin jerja saana dengan pihak swasta