bluuebunny/crossref_metadata_2025_split huggingface dataset:
RANKL and MMP8 levels in Gingival Crevicular Fluid (GCF) as oral biomarker for periodontal condition
Authors: Pratiwi Ariyati R. , Firani Novi K. , Neny Roeswahyuni  , Malianawati Fauziah  , Rahmavidy Priyanto  
Published: April 2024

Objective: We assessed the diagnostic potential of RANKL and MMP8 in gingivitis and periodontitis patients.
Material and Methods: Sixty Seven otherwise gingivitis and periodontitis patient were enrolled at Faculty of Dentistry Universitas Brawijaya and Janti Health Service Malang. Gingival crevicular fluid was sampled modified gingival index include normal (n= 26), mild inflammation (n= 25), moderate (n=10), and severe inflammation (n=6). For periodontitis parameter, GCF was sampled pocket depth such as pocket depth 0-3,5 mm (n= 49), pocket depth 3,6-5,5 mm (n=11), pocket depth >5,5 mm (n=7). RANKL and MMP8 were determined by ELISA (Enzyme-linked immunosorbent assay). Then, One Way ANOVA analysis was used.
Results: RANKL showed significantly difference in gingivitis patient (p<0.05), but not periodontitis patient (p>0.05). However MMP8 did not show any significant difference (p>0.05) between gingivitis and periodontitis. RANKL showed a good discrimination performance. RANKL and MMP8 present in the identification of periodontal disease.
Conclusion: RANKL presented more accurate diagnostic marker for periodontitis than gingivitis.
Confidence of clinical year dental students in performing removable denture treatment and their perception of the quality of prosthodontic studies
Authors: Ratna S. Dewi  , Talitha K. Ardinda  , Henni Koesmaningati  
Published: April 2024

Objective: To find out the distribution of clinical year students’ confidence to perform prosthodontic treatments and perception towards the quality of prosthodontic studies they have received as a factor that can affect confidence.
Material and Methods: Data was collected using online questionnaires and filled out by clinical year students who met the inclusion criteria. Further, the data was grouped according to the year of entrance to the clinical year program in the Faculty of Dentistry Universitas Indonesia. Data was then processed using SPSS version 22 for univariate analysis.
Results: This study included 80 respondents. The highest level of confidence were seen when performing removable partial denture treatment (8.29 ± 0.76), try-in stage (wax form) procedure of a removable partial denture (9.00 ± 1.41), and primary impression taking for a complete denture procedure (9.00 ± 1.15). The lowest confidence was seen when performing complete denture treatment (7.08 ± 1,26) and surveying cast for a removable partial denture (6.00 ± 1.41). More than 95% of respondents showed a positive perception towards the quality of prosthodontic studies they received.
Conclusion: Most respondents have a positive perception towards the quality of prosthodontic learning at Faculty of Dentistry Universitas Indonesia.
Reflexões Sobre os Desafios Sociais dos Institutos Federais
Authors: Michels Lucas Boeira , Ritter Marilene 
Published: April 2024

O objetivo deste artigo é refletir sobre as lógicas da sociedade hegemônica das quais os Institutos Federais precisam compreender para construir um novo modelo de educação profissional orientado a um novo modelo de sociedade mais igualitária social, cultural e econômica. As reflexões permitem compreender que as Instituições, em sua prática convencional, de forma inconsciente, reproduzem a estrutura de pensamentos responsável por gerar a desigualdades sociais. E conclui que, para cumprir com a missão social é necessário compreender a fundo estes mecanismos e readequar os processos pedagógicos para uma prática crítica e reflexiva.
Proeja
Authors: Pedrosa Amanda Pereira , Silva Kátia Regina Xavier da 
Published: April 2024

Trata-se de mapeamento sistemático de teses e dissertações sobre o Programa Nacional de Integração da Educação Profissional com a Educação Básica na Modalidade de Educação de Jovens e Adultos (Proeja) do Rio de Janeiro. Efetuou-se um levantamento na base de dados da Biblioteca Digital de Teses e Dissertações, utilizando-se os descritores “Proeja” e “Rio de Janeiro” / “Proeja” e “RJ”. Constatou-se a baixa produção de estudos referentes ao Proeja do Rio de Janeiro e a existência de diversas pesquisas realizadas no Rio de Janeiro sobre o Proeja de diferentes estados. A maioria dos estudos seguiu uma abordagem qualitativa e destacaram-se os temas evasão, relação teoria e prática e formação docente. As pesquisas encontradas são uma contribuição rumo a uma educação emancipatória. Palavras-chave: Proeja; Educação de Jovens e Adultos; Educação Profissional e Tecnológica; ProfEPT; Rio de Janeiro.
The role of variant anatomy in neurosurgery
Authors: Shnyakin P. G. , Rudenko P. G. , Gasimova N.  D. 
Published: April 2024

Variants of atypical structure and location of anatomical structures always complicate the course of surgical access and admission and are often the causes of surgical errors and complications. This article presents an overview of some features of variant anatomy in areas of interest to neurosurgeons, including those leading to the development of intraoperative problems and postoperative neurological deficits.The main message of the article is not only that neurosurgeons should plan surgery taking into account individual anatomical variability starting with the shape of the skull, but also that in cases of adverse perioperative events, atypical anatomy should be taken into account as an objective risk factor and have a mitigating value in the evaluation of the neurosurgeon’s performance.The aim of this paper is to present and analyse scientific publications on variant anatomy, determining its role in the development of surgical errors and complications in neurosurgery.
Cavernomas of cavernous sinus
Authors: Shkarubo A. N. , Chernov I.  V. , Veselkov A. A. , Kutin M. A. , Fomichev D. V. , Sharipov O.  I. , Andreev D. N. , Kim D.  S. , Donskoy A. D. , Klochkova I. S. , Sinelnikov M. E. , Kalinin P.  L. 
Published: April 2024

Background. Cavernoma of cavernous sinus is a fairly rare benign neoplasm, accounting for less than 3 % of all neoplasms in this area. Due to the rarity of this pathology, a standardized protocol for diagnosis or treatment has not been developed. Surgical and radiosurgical methods are used for treatment.Aim. Analysis of the results of treatment of patients with cavernous sinus cavernomas operated at the N. N. Burdenko National Medical Research Center of Neurosurgery from 2000 to 2022 using endoscopic transnasal access.Materials and methods. We present our own experience in the treatment of 9 patients who underwent transnasal endoscopic removal of cavernous sinus cavernoma.Results. A total of about 300 cases of treatment of patients with cavernous sinus cavernomas have been described in the literature, and endoscopic removal has been described in only 12 cases.As a result, subtotal removal was achieved in 7 cases. In 2 cases, the removal was partial. The postoperative period proceeded in all patients without peculiarities and without complications.Conclusion. Endoscopic transnasal access allows partial or subtotal removal of the formation without risk of injury to cranial nerves and with minimal soft tissue injury, which has a positive effect on the postoperative period of patients. In combination with radiosurgical methods, it is possible to achieve satisfactory treatment results.
Surgical treatment of intermediate nerve neuralgia using intraoperative neurophysiological monitoring
Authors: Dementievskiy V. S. , Lekhnov E. A. , Baldina S. S. , Litvinchuk G. N. , Rzaev D.  A. 
Published: April 2024

Intermediate nerve neuralgia (INN) is a rare pathology with difficult diagnostics and currently there is no generally accepted surgical management protocol. In this regard, an optimal surgical strategy in this case is a difficult task. The aim was to determine an optimal approach for surgical management of patients with INN using intraoperative neurophysiological monitoring (IONM).The INN was diagnosed in a patient, a vestibulo‑cochlear complex dissection with intermediate nerve sectioning under IONM control of was performed intraoperatively. There was the earache regression, but there were gustatory disorders in the anterior portion on the left side of the tongue in the early postoperative period. In the late postoperative period, a delayed facial nerve paresis and signs of liquorrhea were diagnosed, which were completely regressed after reoperation and medication. The follow‑up period was more than 12 months; a stable regression of otoalgia was achieved. Intermediate nerve sectioning is an effective and common technique for the treatment of patients with INN. IONM improves surgical results and reduces a likelihood of different complications.
Denoising Seismic Waveforms Using a Wavelet-Transform-Based Machine-Learning Method
Authors: Quinones Louis , Tibi Rigobert 
Published: April 2024

ABSTRACT
Seismic waveform data recorded at stations can be thought of as a superposition of the signal from a source of interest and noise from other sources. Frequency-based filtering methods for waveform denoising do not result in desired outcomes when the targeted signal and noise occupy similar frequency bands. Recently, denoising techniques based on deep-learning convolutional neural networks (CNNs), in which a recorded waveform is decomposed into signal and noise components, have led to improved results. These CNN methods, which use short-time Fourier transform representations of the time series, provide signal and noise masks for the input waveform. These masks are used to create denoised signal and designaled noise waveforms, respectively. However, advancements in the field of image denoising have shown the benefits of incorporating discrete wavelet transforms (DWTs) into CNN architectures to create multilevel wavelet CNN (MWCNN) models. The MWCNN model preserves the details of the input due to the good time–frequency localization of the DWT. Here, we use a data set of over 382,000 constructed seismograms recorded by the University of Utah Seismograph Stations network to compare the performance of CNN and MWCNN-based denoising models. Evaluation of both models on constructed test data shows that the MWCNN model outperforms the CNN model in the ability to recover the ground-truth signal component in terms of both waveform similarity and preservation of amplitude information. Model evaluation of real-world data shows that both the CNN and MWCNN models outperform standard band-pass filtering (BPF; average improvement in signal-to-noise ratio of 9.6 and 19.7 dB, respectively, with respect to BPF). Evaluation of continuous data suggests the MWCNN denoiser can improve both signal detection capabilities and phase arrival time estimates.
Overview of the basic mechanisms of a multi-bit microprocessor compatible with the AMD64 architecture
Authors: Приходько Д.И. , Мокряков А.В. , Горшков В.В. 
Published: April 2024

Представлены необходимые доработки для улучшения микропроцессоров, которые предназначены для эксплуатации вычислительных систем в различных экстремальных условиях окружающей среды, в частности в космосе. Рассмотрены технические аспекты процесса смены разрядности вычислений (режима работы) микропроцессора под воздействием агрессивной окружающей среды. Этот эффект направлен на повышение надежности работы микропроцессора; с этой целью рассмотрены механизмы микропроцессора, а также сопроцессора как одного из компонентов современных микропроцессоров. Также рассмотрен принцип динамического управления операциями чтения/записи в регистр и новые операции: понижение разрядности вычислений, что подразумевает смену режима работы микропроцессора, и снижения числа ядер – «логическое» изолирование поврежденного ядра в микропроцессоре от работающего функционала. Для сопроцессора предложен механизм раздельного хранения компонент чисел с плавающей точкой стандарта IEEE-754 и показаны способы его реализации.
The article focuses on the necessary improvements to the microprocessors that are designed to operate computer systems in various extreme environmental conditions, especially space. Technical aspects of the process of changing the bit ratio (operating mode) of the microprocessor under the influence of aggressive environment are viewed. This effect is aimed at improving the reliability of the microprocessor, and for these purposes the mechanisms of the microprocessor as well as the coprocessor (as one of the components of modern microprocessors) are considered. The principle of dynamic control of read/write operations to the register is addressed, as well as new operations were considered - reducing the bit capacity of calculations, which implies changing the mode of operation of the microprocessor, and reducing the number of cores – “logical” isolation of the damaged core in the microprocessor from the operating functionality. A mechanism for separately storing floating point components of the IEEE-754 standard has been proposed for the coprocessor, and methods of implementation have been shown.
Comparative analysis of automatic text quasi-summarization algorithms
Authors: Челышев Э.А. , Раскатова М.В. , Маковец А.С. 
Published: April 2024

Приводится постановка задачи автоматического квазиреферирования текстов, а также подробно рассматриваются такие алгоритмы автоматического квазиреферирования текстов, как алгоритм Луна, латентный семантический анализ, TextRank и LexRank. Выполнена оценка информационной полноты для набора рефератов, сгенерированных при помощи указанных алгоритмов, с использованием метрик информационной близости: метрики, основанной на расстоянии Дженсена – Шеннона, и косинусного сходства, примененных к векторным представлениям исходного текста и полученных рефератов. Проведен статистический анализ полученных результатов.
The article presents the formulation of the problem of automatic text quasi-summarization and also discusses in detail such algorithms of automatic text quasi-summarization as the Luhn’s algorithm, Latent Semantic Analysis, TextRank and LexRank. The information completeness was evaluated for a set of abstracts generated using these algorithms. The information completeness evaluation was performed using information proximity metrics: a metric based on the Jensen – Shannon distance and cosine similarity applied to vector representations of the source text and the resulting abstracts. A statistical analysis of the obtained results was carried out.
Application of time series classification methods in the operational control of the progress of technological operations
Authors: Спирин Е.А. , Куликов В.Р. , Сарамуд М.В. , Пикалов Я.Ю. 
Published: April 2024

Работа посвящена практической апробации методов машинного обучения для реализации автоматизированного оперативного контроля выполнения технологической операции. В качестве объекта исследования выбрана технологическая операция затягивания винтового соединения. Для реализации автоматического контроля рассмотрено решение задачи классификации последовательности данных, получаемых в ходе выполнения операций. Особенностью задачи является ограниченный набор данных, используемых в обучении и тестировании нейронных сетей. Выполнен обзор источников и сравнительный анализ эффективности обучения и применения нейронных сетей с рекуррентной и сверточной архитектурами. Экспериментальные исследования выполнены на роботизированном стенде с применением прототипа завинчивающего устройства авторской конструкции. На основе результатов тестирования рассмотренных моделей предложена архитектура нейронной сети, обеспечивающая оптимальное соотношение между точностью и скоростью ее работы.
The work discusses the practical testing of machine learning methods for the implementation of automated operational control of technological operation. The technological operation of tightening the screw connection was chosen as the object of research. To implement automatic control, the solution of the problem of classifying the sequence of data obtained during the execution of operations is considered. The distinctive feature of the task is a limited set of data used in training and testing neural networks. The authors have performed a review of sources and a comparative analysis of the effectiveness of training and the use of neural networks with recurrent and convolutional architectures. The experimental studies were carried out on a robotic stand using a prototype of a screw-down device of the authors’ design. Based on the test results of the considered models, a neural network architecture is proposed that provides an optimal ratio between accuracy and speed of its operation.
Features of financial support for environmental projects in the green economy
Authors: Gadzhiev N. G. , Pleshakov A. M. 
Published: April 2024

The article is devoted to the study of the main forms, methods and problems of financing environmental projects within the framework of the functioning of the green economy, taking into account the specifics of the functioning of the domestic financial system. The relevance of the study lies in the fact that achieving the main parameters of the declared green economic course is impossible without the use of the most progressive forms, methods and instruments of financial support for environmental projects. The purpose of the work is to study the theoretical aspects of financial support for environmental projects in the Russian Federation, contributing to the transition to a green economic course and increasing efficiency in the implementation of these projects.When conducting the study, general scientific methods of cognition were used: – dialectical materialism, inspection observation; methods of economic and statistical analysis, comparison and generalization were used to generalise domestic and foreign experience in the financial support of environmental projects.Having studied the features of financial support for the green economy, the team of authors concluded that there is a predominance of state financing of investment projects in the field of ecology, while the mechanism of public‐private partnership in fact does not function at the proper level and private investments in environmental projects are unattractive from the standpoint of profitability and profitability. Currently, the volume of financing for the transition to the “green deal” is at the level of 20–25% of the required need for the implementation of an ambitious project: in this regard it is necessary to search for ways aimed at increasing the efficiency of financing the green economy.The authors studied the features of financial support for environmental projects in the green economy. Financing problems are identified and recommendations for solving them are given.
Closed‐loop economics in waste management: financing procedures and results
Authors: Yabbarova R. I. 
Published: April 2024

To analyze the procedure and main results of financial support for the implementation of a closed‐cycle economy in the subjects of the Russian Federation.Statistical data and strategic planning documents. The method of analysing the legal and regulatory framework and statistical reporting, as well as the structure of the federal budget, were used. The study is also based on the application of methods of comparison and contrast, grouping, historical and factor analysis.The key role of the state in the creation and effective functioning of the integrated system of solid municipal waste management (MSWM) is determined by the ability to concentrate the necessary financial resources and guarantee uniform standards and requirements for system participants to achieve the stated goals of the closed cycle economy (CCE). Uniform standards and requirements for system participants must be guaranteed to achieve the stated objectives of the closed cycle economy (CCE). This is confirmed by the results of the financing of the TCO management system for 2019–2023, when the federal budget financed activities to the amount of 42.3 billion rubles. For the purposes of the federal EZC project, 8.6 billion rubles were allocated. It is important to ensure off‐budget financing of these activities and modernization of domestic enterprises, for which the use of secondary raw materials is available and economically feasible. The priority of measures to implement CCE in the Russian Federation is financial support for the creation and development of infrastructure for waste collection and recycling.The processes on improvement of the regulatory and legal framework and personnel training are related to the need to implement a "top‐down" approach, which determines the centralisation of decision‐making and the efficiency of attracting extrabudgetary funds dominating in the financial support of the functioning of the TCO management system and implementation of CCE.
Study of structural parameters of petroleum acids and analysis of their possible negative impact on the environment
Authors: Ivanova L. V. , Stokolos O. A. , Demidenko E. S. , Koshelev V. N. 
Published: April 2024

Study of the structural parameters of petroleum acids isolated from oil from the Priozernoye field and analysis of their possible negative impact on the environment.The object of the study is and naphthenic acids isolated from the oil of the Priozernoye field. The research was carried out using modern instrumental methods: gas‐liquid chromatography, IR‐spectroscopy, 13C NMR, 1H NMR spectroscopy and elemental analysis.The high degree of oxidation of the oil studied was confirmed. Extraction with dichloromethane and subsequent analysis of the organic extract using IR‐Fourier spectrometry proved that part of the petroleum acids entered the aqueous phase, which poses a serious threat to the biological diversity of this region. The structural parameters of “medium” molecules of petroleum acids isolated by leaching from three distillate fractions of this oil have been established. It is shown that the products isolated during leaching have a molecular weight of 294–574 amu and contain from 20 to 40 carbon atoms, most of which are part of the naphthenic structures. Along with petroleum acids, leaching products include hydrocarbons.Comparison of the structural parameters of the products isolated from the fractions of the studied oil with the data in the scientific literature allows us to qualify the acids contained in the oil of the Priozernoye field as being substances with high toxicity, which requires finding ways to solve the problem of ensuring the environmental safety of this region.
Complexes GET 17/1–KVI and GET 17/2–KVN from GET 17–2018 State Primary Standard of Dynamic and Kinematic Liquid Viscosities
Authors: Demyanov A. A. 
Published: April 2024

Viscosity is the most important property of liquid medium, determining the quality, as well as the possibility of their processing and transportation. Viscosity measurements are performed in many industries to control technological processes in which viscosity is one of the controlled parameters of the final product. Accuracy of viscosity measurements is also necessary in medicine and biology to organize research for new materials.This review article raises issues of measuring liquid viscosity using the capillary method, reveals the factors and reasons justifying the emergence of the capillary method as the main method of high-precision measurements used in many countries.The author describes two standard complexes from GET 17–2018 State Primary Standard of Dynamic and KinematicLiquid Viscosities. The first is EK GET 17/1-KVI designed for reproducing, storing, and transmitting a unit of kinematic viscosity in the temperature range from 20 to 40 °C. The second is EK GET 17/2-KVN designed for reproducing, storing, and transmitting a unit of kinematic viscosity in the temperature ranges from –40 to +20 °C and from 40 to 150 °C. The focus is on the operating principle and main metrological characteristics of these reference complexes, as well as the results of international key comparisons involving them.In the future, the research materials may influence the development vector of means and methods for measuring liquid viscosity.