bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of numerical methods for integrating high-dimensional stiff systems in SimInTech
Authors:   Novosibirsk State Technical University, Russian Federation, Shornikov Yury V. , Timofeev Konstantin A. ,   Novosibirsk State Technical University, Russian Federation
Published: January 2023

When modeling complex dynamic processes, it becomes necessary to numerically solve the Cauchy problem for systems of ordinary differential equations (ODEs). The efficiency of the applied numerical methods depends on the degree of stiffness and dimension of the problem [1–3]. Depending on the task class, different methods behave differently.This article provides a comparative analysis of explicit adaptive and diagonal-implicit integration methods implemented in the SimInTech software [4]. The SimInTech software package is designed to simulate complex dynamic processes in systems of various classes. The system supports the ability to develop models in the form of block diagrams, as well as describe systems of differential equations using the built-in programming language and simulate event-driven systems and finite automata.It is shown that the most effective in solving problems of the considered class are the diagonal-implicit Runge-Kutta type integration methods – DIRK2 and DIRK4 from the SimInTech package. The DIRK3 method is inferior due to the large number of calculations of the Jacobian matrix. The preferred method is rather The DIRK2 method is preferable in this case, because it has a greater number of time steps with almost the same performance and does not increase the integration step so much with relatively low accuracy settings of the integration method. Of the explicit methods of the Runge-Kutta type with an adaptive numerical scheme, the “Adaptive-5” method is the most effective for solving problems of this class. For problems of this class, we can recommend the use of explicit integration methods “Adaptive-5”, “Adaptive-1” with a small system dimension.The traditional implicit Gear and Euler integration methods also effectively solve this problem, provided that the algorithm for calculating the Jacobian matrix is effectively implemented.
Investigation of the efficiency of post-processing methods in solving problems of multi-phase filtration
Authors:   Novosibirsk State Technical University, Russian Federation, Grif Alexander M. , Soloveichik Yuri G. ,   Novosibirsk State Technical University, Russian Federation
Published: January 2023

Methods for post-processing of finite element solutions in the simulation of multiphase flows are considered. To simulate filtration processes, a special method based on the implicit calculation of the pressure field and the explicit calculation of saturations is used. Post-processing of flows is performed using two technologies - the balancing method and the projection method. The method of balancing the numerical flows of the mixture ensures the fulfillment of local conservation laws by finding corrections to the flows of the mixture calculated using the FEM. For the closeness of the modified mixture flows to the original numerical ones, the regularization parameters in the balancing method are calculated using the averaged unbalance. In the projection method, the balanced values of fluxes through the faces of finite elements are corrected by adding constant corrections (constant per element). Computational experiments were carried out on a test problem, a model of a field with a simple structure, and a model of a real oil field in the Republic of Tatarstan. When modeling problems with the appropriate correction of the known mixture flows on the faces of the wells, the solutions obtained using the balancing method and the projection method have little difference. The results of research on problems have shown that both technologies provide conservative solutions for which conservation laws are satisfied. At the same time, the use of the method of balancing the numerical flows of the mixture provides a higher accuracy than the projection method, when the flows in the wells are corrected in the post-processing process (that is, in fact, production/injection is emulated while maintaining a fixed pressure). The projection method can be improved by using the weight functions proposed for the balancing method. However, even in this case, the balancing method allows obtaining more accurate solutions.
Approach to the determination of the heat transfer coefficient between rock and fluid mixture for modeling non-isothermal multiphase flow
Authors:   Novosibirsk State Technical University, Russian Federation, Ovchinnikova Anastasia S. , Persova Marina G. ,   Novosibirsk State Technical University, Russian Federation, Leonovich Daryana A. ,   Novosibirsk State Technical University, Russian Federation
Published: January 2023

The paper presents an approach to calculation of the coefficient determining the rate of heat transfer between a fluid mixture in oil reservoir and a matrix-rock. This coefficient is necessary for further joint modeling of hydrodynamic and thermal processes that occur in the field reservoir during its development using, for example, thermal methods for enhanced oil recovery. To model the processes of a non-isothermal multiphase flow, an approach based on implicit pressure calculation using the finite element method and explicit calculation of phase saturations is used. The approach to determining the heat transfer coefficient is based on solving the thermal problem in an area corresponding to a channel of a porous medium and a part of the matrix-rock around it. In this case, a fluid mixture with a known temperature value, different from the initial temperature in the channel and matrix-rock, enters the channel at a given rate. A two-dimensional problem is solved in an axisymmetric formulation by the finite element method.Numerical experiments to determine the heat transfer coefficient were carried out on models for various values of the channel size, porosity, initial temperatures of the medium, temperature of the mixture entering the channel, thermal properties of the fluid mixture and rock. As a result of the study, it was found that the channel size and porosity have the most significant effect on the value of the heat transfer coefficient, since these characteristics determine the volume of the matrix-rock, which should “warm up / cool down” when the temperature of the fluid mixture in the channel changes. Also, the coefficient values obtained were quite large, since the heat exchange between the rock and the mixture in the channel occurs in minutes, which practically corresponds to instantaneous heat transfer when it comes to modeling field development processes, where time steps are days and months.
The Mediating Role of Perceived Supervisor Support Between Presenteeism and Employee Performance: A Study of Sugar Manufacturing in Erzincan, Turkey
Authors: Bas Murat , Ayaz Mohammad Quasim
Published: January 2023

There is a broad understanding that a relationship exists between leaders’ behavior and employees’ reaction, particularly in the sense of presenteeism, which ensures the good health of employees. However, we agree that much less is understood about potential mediating processes that underline the links between supervisory support, presenteeism and employees’ support. İn this study, the indicators of employee performance are linked with presenteeism, while supervisor support plays a mediating factor. We linked social learning theory, where individuals value observable behaviors. The findings of the study revealed a positive relationship between presenteeism and employee performance in Erzincan state of Turkey. The study found positive mediation of supervisory support between presenteeism and employee performance. The relationship of the research model was tested with the help of implementation of adopted questionnaires from 280 individuals who responded as potential participants. The analysis explored positive remarks of the hypothesis (accepted). The findings of the study, contributes to both the academic and non-academic arenas, leading to potential understanding as to the importance of both presenteeism and supervisory support.
Economic Value of Energy and Petrochemical Companies and Multiple Directorships: Evidence from Saudi Arabia
Authors: Aljaaidi Khaled Salmen
Published: January 2023

The existence of multiple directorships is the case when a board member is serving on two or more boards or a number of other external appointments. This study aims to examine the impact of multiple directorships on a firm’s economic values among Saudi listed companies using the busyness hypothesis. As for the methodology, this study collected secondary data from the annual reports of the listed companies that include corporate governance and firm-specific characteristics. In addition, this study reviewed the extant research related to the multiple directorships and firms’ economic values. Using a sample of 140 Energy and Petrochemical companies for the period 2012-2019, the Ordinary-Least Square (OLS) results show that busy directors negatively influence the firm’s economic value, measured as ROA and ROE. The findings of this study have theoretical implications in a manner that gives support to the busyness hypothesis in the Saudi context, which is considered a different setting from other studies conducted in other developed and developing countries in terms of politics, economic factors, and culture. This study adds additional empirical evidence in the unique setting of Saudi Arabia. In addition, the findings of this study could have practical implications to policymakers, shareholders, management, auditors, and other stakeholders in gaining a deeper understanding of how multiple directorships negatively influence the firm’s economic value.
School Principals’ Self-Efficacy beliefs for Technology Integration in Moroccan Public Schools
Authors: Laouni Noureddine
Published: January 2023

An essential and prima facie component for effective technology integration in education and management of schools is the sense of - efficacy of the school principal. This promising, but largely unexplored avenue in research was the aim of this study that employed a quantitative method design using The Principal Sense of Efficacy Scale (PSES) (Tchannen-Moran & Gareis, 2004) to measure school principals’ sense of efficacy and Level of technology integration for assessing the various levels of technology integration (LoTi) Moersch (1999) to measure school principals’ level of technology integration. 167 school principals working in different regions of Morocco formed the population concerned. Findings of the study demonstrated that Moroccan school principals have a moderate sense of efficacy at (PSES) scale and low sense of efficacy at the sub-scales wherein Moral –efficacy (M = 24.40, SD = 3.96), management –efficacy (M = 30.72, SD = 3.60) and finally instructional efficacy levels (M= 28.85, SD = 4.14). These significant differences in descriptive statistics reached significance in the inferential analyses as well.
Прагмасемантика цифровых коммуникаций: смысловые картины мира, ценностно-регулятивные системы и ответственность
Authors: Тульчинский Григорий Львович
Published: January 2023

Цифровой формат смещает акцент социальной коммуникации с трансляции социальных (нормативных) значений на презентацию личностных смыслов (эмоционально-оценочных мнений и переживаний). Это порождает проблему баланса между, с одной стороны, институтом свободы слова и совести, техническими возможностями их выражения, с другой стороны – необходимостью обеспечения личностной и институциональной безопасности, минимизации репутационных рисков, других издержек. Верификация или опровержение этого контента зависит от социально-культурного контекста, соответствующих смысловых картин мира, представления о значимой реальность, которые свойственны для данной общности. В ситуации формализации информационной базы коммуникации возникает вопрос о возможности систематизации смысловых картин мира, их структурировании и привязке к социально-культурным практикам. Для такой систематизации предлагается концепция ценностно-регулятивных систем (ЦРС), позволяющая операционализировать идею смысловых картин мира.
Современные коммуникативные технологии создают уникальную ситуацию. Во-первых, это возможность глубокой дивергенции ЦРС различного уровня и практик. А во-вторых, – возможность их пересечения и наложения. В результате рассмотрения указанных проблем автором выявлен вектор (тенденция) трансформации социальной коммуникации с акцентирования трансляции социальных (нормативных) значений на презентацию личностных смыслов (эмоционально-оценочных мнений и переживаний). Тем самым, сетевые коммуникации создают, если не приумножают, конфликты различных смысловых картин мира, связанных с различными ЦРС. Таким образом, возникает нетривиальная проблема результатов этого взаимодействия и ответственности за эти результаты. Это выражается в необходимости нового осмысления ответственности – не только как социального института, но и проявления субъектности, как источника, средства и результата социальной коммуникации.
Проблемное поле сохранения цифрового культурного наследия
Authors: Борисов Н.В. , Захаркина В.В. , Мбого И.А. , Прокудин Д.Е. , Щербаков П.П.
Published: January 2023

Развитие информационного общества привело к появлению новых культурных форм – цифровых, которые создаются только при помощи информационно-коммуникационных технологий и могут быть восприняты тоже только через них. Эти формы являются не только переводом различных объектов культурного наследия в цифровую форму (текст, изображение, музыка, реальные объекты и т.д.), но и представляют собой полностью цифровые объекты – такие как видео360, анимация, виртуальная и дополненная реальность, 3D-модели, объекты Art Science, световые компьютерные инсталляции и многое другое. Эти цифровые объекты уже сами являются культурными феноменами и новыми культурными дефинициями. В совокупности они претендуют на роль культурного наследия, но уже цифрового, которое представляет собой новый вид наследия, объединяющий ресурсы, относящиеся к области культуры, образования, науки и иного характера существующие в цифровой форме. В условиях динамично развивающихся информационно-коммуникационных технологий особую актуальность приобретает проблема сохранения цифрового культурного наследия. В статье обсуждаются различные риски утраты цифрового культурного наследия, представленного, прежде всего, в веб-пространстве, нарушения его функционирования. Приводятся конкретные примеры. Обсуждаются основные направления по обеспечению сохранения цифрового культурного наследия. Особенное внимание уделяется технологическим аспектам сохранения объектов цифрового наследия, созданных в рамках проектов, реализуемых в области культуры, образования, науки.
Педагогические аспекты межкультурного обучения в виртуальном пространстве
Authors: Гаевская Е.Г. , Борисов Н.В. , Шадиев Р.Н.
Published: January 2023

В статье рассматриваются возможности развития международного сотрудничества в образовании на основе подходов теории межкультурного обучения и кросскультурной дидактики. Педагогические аспекты рассматриваются в контексте междисциплинарных подходов цифровых гуманитарных наук и межкультурного обучения как принципов, содержания и методов обучения. Предлагаемые подходы могут быть использованы при разработке совместных бакалаврских и магистерских программ в области цифровой гуманитаристики, гуманитарных наук и искусств, что позволяет повысить качество обучения и обеспечить успешное овладение студентами компетенциям, которые необходимы специалистам цифрового общества.
В статье представлены результаты многолетнего сотрудничества между
университетами России, Италии, Китая. Работа проводится в рамках педагогической деятельности кафедры информационных систем в искусстве и гуманитарных науках Санкт-Петербургского государственного университета и исследовательского центра «Виртуальный русский музей в СПбГУ» с 2016 по настоящее время.
Полученные результаты позволяют сделать вывод о том, что в ходе многолетней академической кооперации в области эмпирических исследований заложены основания для развития академической кооперации в форме научных исследований и международных программ бакалавриата и магистратуры.
Embedded Liberalism and Health Populism in the UK in a Post-Truth Era
Authors: Dalingwater Louise
Published: January 2023

The National Health Service (NHS), as a symbol of public health protection in the UK, was weaponised in pro-Brexit debates. It was suggested that European integration might inherently have undermined embedded liberalism and notably contributed to what Ruggie described as the “unbundling of sovereignty” (Ruggie, 1993). The manipulation of the NHS by right-wing populists has already been the focus of a number of articles, but calls to protect public health care from global threats have also come from left-wing politicians and activists. This article is particularly interested in socialist populist appeals to protect health care. It aims to show that for socialists the compromise between capital and labour and the protection of welfare systems, which is referred to as embedded liberalism, has not been achieved. In fact, furthering trade and investment is currently seen to be compromising the last remnants of a welfare state, which is embodied by the NHS in the UK. This conceptual article will thus start by presenting the theory of embedded liberalism. It will then establish the link between the breakdown of embedded liberalism in relation to health care systems. It will finally present populist and activist narratives on health and the UK’s national health service from an international perspective. It draws on secondary literature and a corpus of popular press articles and grey literature produced by civil society organisations.
Using Social Networking Sites as Sales Strategic Tool: the case of gastronomy-based businesses
Authors:   Universidade Federal de São Paulo, Hernandes Sabine , Lucas Jr Durval ,   Universidade Federal de São Paulo, Camargo Barros Regina ,   Universidade Federal de São Paulo
Published: January 2023

The use of social networks by small and medium entrepreneurs (SMEs) is becoming increasingly frequent, mainly due to the opportunity to advertise and sell their products on the platforms. This study aims to understand how SMEs in the food industry use social media platforms to increase the sales potential of their businesses. The analysis was performed from exploratory case studies, and the study objects were four SMEs in the food industry. Data collection allowed us to analyze how SMEs developed – or not – a strategy for the use of social networks and the resulting impacts. From the results, it can be concluded the importance of the elaboration and implementation of a strategy for the use of social networks on the growth of sales.
The problem of the origin of Kirkwood gaps in the asteroid belt and conditions in the early Solar system
Authors:   Taras Shevchenko national University of Kyiv, Kazantsev А.
Published: January 2023

The orbits of asteroids from the MPC catalogue of January 21, 2022 with absolute magnitudes H < 16 m, in the 3:1, 5:2 and 2:1 mean motion resonances (MMRs) with Jupiter were selected. The number of the orbits in the 2:1 MMR is dozens of times greater than in two other resonances. The are fragments of parent bodies of neighbour asteroid families, in particular the Themis family, in the 2:1 MMR. The sizes of almost all bodies in resonant orbits do not exceed 10 km. It is shown that in the past, there were bodies of much larger sizes in these tree gaps. In particular, more than two billion years ago there were several tens of bodies with sizes of more than 50 km in the 2:1 gap, including those with sizes of more than 100 km. Numerical calculations were performed to evaluate the evolution of the selected resonant orbits over hundreds of thousands years. Perturbations from all eight major planets and the relativistic effects of orbital perihelion displacement were taken into account. For all orbits in the 3:1 and 5:2 MMRs an increase in the orbit eccentricities, which are sufficient for the bodies to approach Mars, was confirmed. It can explain the exit of asteroids from these two gaps. In the 2:1 MMR, a sufficient increase in the orbit eccentricities was not detected. Such increase in orbit eccentricities in this resonance may occur due to the action of non-gravitational effects (NGEs). The action of the Yarkovsky effect may explain exit of an asteroid with a size of 5 km from the 2:1 MMR over a period about 1 billion of years or more. It takes tens of billions years for large bodies that were once there, to exit from the 2:1 gap, under the action of the Yarkovsky effect of today power. To form the gap in the 2:1 resonance at the very beginning, the physical conditions for bodies in the asteroid belt had to be significantly different from the today ones. Most likely, the NGEs were influencing a much stronger on bodies in the asteroid belt in the early Solar system as compared with the today NGEs. In particular, the radiation of the Sun in the early Solar system could be much more intense, in comparison with the today one.
Current Status of Research on Methanol as an Alternative Fuel to Conventional Fuels
Authors: Lan Dongchao
Published: January 2023

With the rapid development of China's economy and society, the domestic demand for automobiles is growing explosively. At the same time, the dependence of China's crude oil on foreign countries exceeds 65%. This is a great hidden danger to the sustainable development of China's economy and energy security. Automobile consumes a large amount of petroleum resources, and automobile exhaust is one of the main factors causing environmental pollution. In view of the dual pressure of energy saving and emission reduction, methanol has been favored by many researchers for its many advantages (such as cleanliness, environmental protection, renewable and high accessibility). In this paper, the resource extensibility of methanol, the physicochemical properties of methanol, the application characteristics of methanol in internal combustion engine and the comparison of the combustion performance of methanol with traditional fuels are summarized and analyzed.
Artificial Intelligence, Machine Learning and Neural Networks for Tomography in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topologies
Authors: Lazaropoulos Athanasios , Leligou Helen
Published: January 2023

Until now, the neural network identification methodology for the branch number identification (NNIM-BNI) has identified the number of branches for a given overhead low-voltage broadband over powerlines (OV LV BPL) topology channel attenuation behavior [1]. In this extension paper, NNIM-BNI is extended so that the lengths of the distribution lines and branch lines for a given OV LV BPL topology channel attenuation behavior can be approximated; say, the tomography of the OV LV BPL topology. NNIM exploits the Deterministic Hybrid Model (DHM) and the OV LV BPL topology database of Topology Identification Methodology (TIM). By following the same methodology of the original paper, the results of the neural network identification methodology for the distribution line and branch line length approximation (NNIM-LLA) are compared against the ones of the newly proposed TIM-based methodology, denoted as TIM-LLA.
Dip range for intracontinental reverse fault ruptures: Truth not stranger than friction?
Authors: Sibson Richard H. , Xie Guoyuan
Published: January 2023

Histograms of fault dips have been compiled for moderate to large (M > 5.5) reverse-slip intracontinental earthquakes with the slip-vector raking 90 ± 30° in the fault plane. The principal data set is restricted to earthquakes where the fault plane in the focal mechanism can be unambiguously distinguished from the auxilliary plane; the reverse fault dips are bracketed within the range 12° < δ < 60° with a prominent peak in the 25° to 35° interval and a subsidiary peak in the 45° to 55° interval. Assuming horizontal trajectories for maximum compressive stress (σ1), the observed dip range is consistent with reactivation of faults possessing rock friction coefficients within Byerlee's (1978) range (0.85 > μs > 0.6), undergoing frictional lockup at dips approaching 60°. The broad 25° to 35° peak may arise from progressive domino steepening of imbricate reverse faults above the optimal dip for reactivation in regions undergoing bulk shortening. Paucity of very low-angle thrusts implies that it is generally the steeper ramps within ramp-flat assemblages that fail in moderate to large earthquakes. The subsidiary peak at 45° to 55° likely results from compressional reactivation of former normal faults in areas undergoing tectonic inversion, requiring some degree of fluid overpressuring. The results are consistent with previous studies on the dip range for active normal faults that again demonstrate frictional lockup at reactivation angles approaching 60°; together, these analyses suggest that “Byerlee” friction coefficients apply to faults with displacements of up to a few kilometers.
Development of Multicellular Converter with Magnetic Coupler for Space Charge Measurement on DC Cable
Authors: Jebli Mourad , Martire Thierry , Laurentie Jean-Charles , Pellecuer Guillaume , Boyer Ludovic , Castellon Jérôme
Published: January 2023

One of the main issues on high voltage direct current (HVDC) cable is the electric field distribution on the insulation induced by space charges accumulation. Indeed, the space charges can cause a local increase of the electric field, which will accelerate ageing and may lead to dielectric breakdown. The TSM is one of the techniques that allow space charge measurements. The principle of the TSM consists in disturbing the electrostatic balance of the cable insulation system using a short thermal stimulus. For this study, the thermal pulse is created by Joule effect. This paper describes the structural optimization of a multi-cell DC-DC converter and its use in a high-current application to produce thermal stimulus. The design of the converter is first presented, then a multi-objective optimization is proposed for minimizing volume and losses. Finally, experimental results using a converter prototype which confirmed the space charge measurement principle are presented.
Stability Control Modeling and Simulation Strategy for an Electric Vehicle Using Two Separate Wheel Drives
Authors: Attia Moussa , Zaamouche Fares , Houam Ala , Daouadi Rabah
Published: January 2023

This study of modifying the frame forces of an electric vehicle offers benefits for controlling stability. We used a two-wheeled self-driving electric vehicle in this study. Taking into account important parameters such as vehicle speed, the vehicle's stability criterion is determined based on the torque level and lateral slip angle. It is equipped with a traction control system that integrates its dynamic system with a sporty design. This level of control improves the vehicle's stability and safety. A conventional regulator has been developed and trained to apply motor control to a sophisticated power supply system. The stability of the EVs was controlled by a simulation model. We validated the proposed stability criterion, and the wheel torque control algorithm. Stability control for two-wheeled autonomous vehicles can be developed on the basis of related research. We would like to stress that the controller can be used in a variety of modern electric vehicles because it is so easy to use. An overview of the modeling and simulation results for this system in the MATLAB-Simulink environment will be presented.
Effect of Titanium Nitrate Nanoparticles on Optical Properties of PVA/PEG Blend for Optoelectronics Detectors
Authors: Mohammed Musaab Khudhur , Abdullah Eman Hammod , Hassan Dalal , Hashim Ahmed
Published: January 2023

In this work, casting method was used to fabricate the polyvinyl alcohol (PVA)/ poly ethylene glycol (PEG) nanocomposite with different content of titanium nitrate nanoparticle (TiN NPs). This nanocomposite was analyzed to use a Spectrophotometry with a spectral region of 200-800 nm. The absorption enhances when the added TiN NPs to the polymeric matrix which may be used for various applications such as optoelectronic detector. The optical energy gap for indirect transition (allowed and forbidden) decreased as TiN NPs content increases. Moreover, all optical constants have been determined.
A Hybrid Fault Diagnosis Method Using Translation Invariant Wavelet Denoising, Hierarchical Entropy, and Support Vector Machine with PSO Algorithm
Authors: Tomar Arvind Singh , Jayaswal Pratesh
Published: January 2023

The rolling element bearing is used in various machinery and produces vibration due to imperfections, surface irregularities during manufacture, damaged bearings, and inaccuracies in the allied element. Also, the rolling element bearing vibration generally shows non-linear dynamic characteristics and is masked with heavy background noise. This noble investigation advances a hybrid technique for removing background noise from the vibration signal and detecting bearing defects. Translation invariant wavelet denoising is the initial stage in this hybrid method for noise removal from the signal. The second phase uses Hierarchical Entropy (HE) for defect feature frequency extraction. Hierarchical entropy at scale four and SampEns of eight hierarchical decomposition nodes was utilized to determine the defect feature vector. In particular, low-frequency components are investigated through multi-scale entropy (MSE), but hierarchical entropy (HE) incorporates low-frequency and high-frequency components and can extract more defective information. Implemented a multi-class support vector machine (SVM) for extracting Hierarchical entropy as feature vectors. These feature vectors are trained by utilizing particle swarm optimization (PSO). To accomplish a prediction model, examine the optimal SVM parameters and then various bearing conditions with the variation of type, size, speed, and load severity identified by SVM. The investigation results show that hierarchical entropy can adequately and more precisely express the features of bearing vibration signals. It is beyond MSE, and the proposed Nobel hybrid Translation invariant wavelet denoising and Hierarchical entropy-based method will effectively remove the noisy background signal. Also, it distinguishes different bearings successfully, indicates the bearing conditions correctly, and is more prominent than those found on MSE.
Systematical Analysis and Pathological Classification of Breast Cancer from Mammographic Images with Using Specific Machine Learning Methods
Authors: Ural Ali Berkan
Published: January 2023

For years, breast cancer has been a serious problem and malignant tumor case primarily causes death of women all around the world. In this paper, a computer based breast tumor analysis and pathological case classification system has been achieved and some novelties are included to the image processing methods, especially in segmentation and base frequency distribution acquisition of the processed image and classification part. First, the possible noises and artifacts are eliminated by using common filtering. Second, the filtered images are segmented with integrating gray level Image Processing methods. Then, these images (ROIs) are converted to the base frequency distribution images with using Fast Fourier Transform (FFT) and Lab&HSV color spaces. The most important key for these images is frequency distribution can be obtained with specific color tones and totally 100 images (50 benign-50 malignant) are accumulated to fed the two different Machine Learning models in literature such as Probabilistic Neural Network as Learning Vector Quantization (LVQ) and Support Vector Regression (SVR) for classification of Benign and Malignant cases without the need for additional medical data. Then the performance of the proposed system is analyzed with 30 different test images (15 benign-15 malignant) according to the metrics like accuracy, sensitivity, specificity, precision, F-score and area under the ROC curve (AUC score). The experimental results on the open access mammogram image set show that discriminating between Benign and Malignant cases can be achieved with an important success rate as 91.38% with LVQ and %.92 with SVR.
Salient Target Detection Method of Video Images Based on Convolution Neural Network
Authors: Yao Zhuo , Guo Li
Published: January 2023

Traditional target detection of video images is often used to distinguish the relevant classification of large categories of targets, in the case of complex and diverse image content, it cannot capture enough visual cues, which makes it difficult to distinguish small differences between categories. Therefore, this article studies the salient target detection method of video images based on convolution neural network. Based on dictionary learning, the dynamic features of videos are extracted, and then the coefficient matrix is generated based on the dictionary to complete the learning, so as to realize the complete description of the underlying dynamics of videos. DMD algorithm is used to extract the dynamic mode of videos, and finally the foreground and background of video image frames are separated. Based on YOLOv4 network model, the salient target detection model of video images is constructed. Aiming at the defects of YOLOv4 network model, such as redundant parameters, many convolution modules and complex architecture, a series of model optimization are carried out. Experimental results verify the effectiveness of the model.
Noise Signal Recognition and Noise Reduction Algorithm of Ships
Authors: Pan Xuehai
Published: January 2023

Based on the study of the sensing property of fiber bragg grating (FBG) sensor network, this paper takes hybrid wavelength division/time division multiplexing sensor network with high-capacity FBG as the research object to study noise source, noise category and traditional noise reduction algorithm. In accordance with the characteristic of crosstalk accumulation noise in the network, this paper proposes LCEEMD-LWT signal processing method, which uses the local complementary ensemble empirical mean decomposition (LCEEMD) method for signal preprocessing, and then adopts LWT technology to refine high-frequency signal and solve the related problems. Then this paper put forwards detrended fluctuation analysis (DFA) to evaluate the sensing signal of high-capacity FBG, preprocesses the sensing signal by LCEEWD-LWT method, and conducts a temperature sensing experiment. The average temperature error of the demodulating system is reduced from 0.2923℃ to 0.2357℃, which not only overcomes the shortcoming that the traditional signal processing method is not meticulous for high-frequency signal processing, but also avoids the problem that the signal processing time is too long, exerting a good effect on the signal pre-processing of high-capacity FBG. The method in this paper has certain theoretical and technical reference value for the signal processing and the improvement of sensing property of high-capacity FBG sensing demodulating system in engineering application.
Pneumonia Detection with Chest-Caps
Authors: Solak Ahmet , Ceylan Rahime
Published: January 2023

Pneumonia is one of the diseases with the highest mortality in children. Early diagnosis is vital for the recovery of children and saving their lives. With the developments in artificial intelligence, the use of computer aided systems has become widespread. This has increased reliable, accurate and fast on studies about classification, segmentation and detection. In this study, pneumonia and healthy chest X-ray images were classified using capsule network. This model is specialized and adapted to the study in a specific way. K-fold cross validation and preprocessing of images were also applied to improve the study performance. As a result of the study, accuracy, precision, recall, F1-score and AUC scores were obtained as 0.984, 0.996, 0.971, 0.983, 0.974, respectively. The proposed model has been compared with state-of-the-art models and studies in the literature, and it is seen that our study has achieved excellent results.
Open Education: Looking at Canadian Higher Education through a Critical Research Lens
Authors: Bordignon Mara
Published: January 2023

Open education (OE), as the sharing, use, and reuse of resources, pedagogies, and teaching practices, is an evolving phenomenon globally. OE has gained momentum by challenging, transforming, and even displacing systems which exclude, disenfranchise, and marginalize members of both the public and academic communities. Traditional, dominant systems are problematic because they create barriers that restrict access, agency, ownership, participation, and experience. OE approaches represent a wide range of solutions from free open educational resources to open access of scholarly research. A complex open and closed ecosystem, coupled with flaws and weaknesses in OE practices and approaches themselves, create issues and tensions needing closer interrogation.
This paper provides a brief literature review on OE, with an emphasis on how meaning has evolved from being content focused to practice focused, alongside with the progression in an aim towards social justice and equity. A look at how OE is constituted within international and Canadian policy discourse also informs how conceptualizations form under social and political contexts. It is argued that critical theoretical frameworks can interrogate the OE phenomenon, particularly within Canadian higher education. A critical research lens can be beneficial in providing understandings of power relations as they affect social justice and equity.
Morphological characteristics and expression of the S-100 protein in Purkinje cells of the cerebellum of a young and senile human
Authors: Balandin A. A. , Zheleznov L. M. , Balandina I. A.
Published: January 2023

The problem of aging of the human body and the prevention of age-associated diseases in modern scientific literature is devoted to many studies. Researchers are showing increased interest in the aging of the cerebellum. Purkinje cells, which form the ganglionic layer of the cerebellar cortex, are considered to be very sensitive to various influences.

The aim is to reveal the morphofunctional features of the Purkinje cells of the human cerebellum in the senile age in comparison with the young age.

Material and methods. Morphological study of the cerebellum of 59 men and 52 women, right-handed, with anamnestic data that excluded diseases and injuries of the organs of the central and peripheral nervous system, as well as alcohol or drug addiction, was carried out during autopsy. The material for the study was taken from the region of the inferior semilunar lobule of the cerebellum. The studied material was divided into two groups: group I (n=59) included samples obtained from 31 men and 28 young women (from 25 to 32 years old inclusive), group II (n=52) – from 28 men and 24 women of senile age (from 79 to 88 years inclusive). We used general and neurohistological, immunohistochemical and morphometric research methods. Morphological assessment of Purkinje cells was carried out and the distance between their bodies was determined. An immunohistochemical study used a panel of antibodies to the S-100 protein.

Results. A comparative analysis of the data obtained showed a statistically significant predominance of the distance between the bodies of Purkinje cells in the elderly compared to the young. Immunohistochemical study revealed an increase in the number of S-100-immunopositive Purkinje cells in old age.

Conclusion. New data have been obtained on the age-related structural transformation of the cytoarchitectonics of the human cerebellar nervous tissue, which must be taken into account when studying age-associated diseases and movement coordination disorders.
Reviewing brachial plexus injury in a trauma registry center
Authors: Salamati Payman , Zafarghandi Mohammad Reza
Published: January 2023

The Article Abstract is not available.
Central retinal artery occlusion presenting with headache and sudden painless blurring of vision
Authors: Richhariya Devendra , Gupta Rakesh
Published: January 2023

The Article Abstract is not available.
Editorial - Beyond the COVID-19 Era: Psychological Resilience and E-safety in Education across Gulf States
Authors: D. Jules Tavis
Published: January 2023

This is an Editorial and does not have an abstract. Please download the PDF or view the article in HTML.
Toward Culturally and Linguistically Responsive E-Learning in Post-COVID-19 Higher Education: Perspectives from the United Arab Emirates
Authors: Hopkyns Sarah
Published: January 2023

The COVID-19 pandemic has caused dramatic shifts in education worldwide. In the spring of 2020, universities abruptly moved to emergency remote teaching and learning (ERT&L), with online and hybrid education continuing into the post-pandemic era. In the Gulf, cultural, religious, and sociolinguistic dynamics can present additional challenges for teaching and learning online. Reluctance to use cameras due to modesty, privacy, and E-safety concerns, amongst others, affects interaction and rapport. This article presents empirical data from a qualitative phenomenological case study investigating male and female Emirati university students’ (n = 107) perspectives on access, interaction, and engagement during Zoom classes in the fall of 2020 and spring of 2021. Students’ reflective essays and researcher observations revealed that intersecting factors, such as gender, religion, culture, linguistic challenges in English-medium universities, and fear of judgment, affected participants’ comfort levels and learning effectiveness in online classes. Data are analyzed through interpretive phenomenological analysis and the analytical tool of intersectionality, through which complexities of learner identities are explored. Practical suggestions are made on adapting online and hybrid learning to suit the sociocultural realities of Gulf states better by enhancing interaction and engagement in online classes without compromising comfort, E-safety, and privacy in post-pandemic education
Trauma-Responsive Schooling: Centering Student Voice and Healing By Lyn Mikel Brown, Catharine Biddle, and Mark Tappan. Harvard Education Press. $33.00. May 2022.ISBN-13: 978-1-68253-731-2
Authors: O. Farhat Janaan
Published: January 2023

This is a Book Review and does not have an abstract. Please download the PDF or view the article in HTML.
Online Student Teaching Practicums During COVID-19: A Successful Case in the UAE
Authors: Aghar Tania , Quirke Phil
Published: January 2023

The COVID-19 outbreak necessitated a sudden shift to online teaching and learning worldwide in early 2020. This impacted the preservice teachers’ (PTs) practicums in schools—a cornerstone of Bachelor of Education programs. The teaching practicum (TP) enables PTs to apply their theoretical learning practically. We narrate the shift to e-practicum at a higher education institute in the UAE; document the challenges faced, opportunities gained, and guidelines designed for the implementation; and recognize the vital role of the Ministry of Education (MOE) and the national federal higher education institutions in facilitating online teacher education. We describe the registration of PTs on the MoE’s online teaching and learning platform (MS Teams) and the measures that facilitated the e-practicum. The study employs a case study approach to document analysis of email correspondence and interview scripts to provide insights from the preservice and mentor school teachers. Content and thematic analyses indicate that despite the resistance and unpreparedness of PTs toward this transition—the use of unfamiliar technology—they benefitted from the e-practicum and developed strategies to allay fears, keep students on task, and overcome technical challenges with the support of their mentors. We conclude with the lessons learned and recommendations for post-pandemic TP design.
Students’ Possession of Social and Emotional Learning Competencies in the Second Cycle Schools of Basic Education in the Sultanate of Oman
Authors: Said Sulayiam Al Matari Ali , Abdullah Almoqbali Moza , Mohammad Almaawali Iman
Published: January 2023

The study aimed to identify the degree of students’ social and emotional learning competencies in the schools of the second episode of basic education in Oman after the COVID-19 pandemic, and the researchers used the descriptive curriculum. The questionnaire of the OECD study was used for social and emotional skills in learning (Kankaraš and Suarez-Alvarez, 2019) which consisted of 5 competencies and 30 indicators: accomplishing tasks; emotional organization; dealing with others; cooperation; and openness. The results of the study showed that the overall degree of students’ ownership of social and emotional learning competencies was largely, with an average account (3.70), 74%, and a degree of ownership of each competency to a large extent, and in proportions percentage, ranged from 60.3% to 82%. There are statistically significant differences in the degree to which students have social and emotional learning competencies in the schools of the second episode of basic education in Oman in the total degree attributable to the sex variable, in favor of females (female students), while there are no statistically significant differences in the degree to which students have the competencies of social and emotional learning in the overall degree depending on the age variable. The study recommended that social and emotional learning skills be integrated into the curriculum, and that the Ministry of Education adopt courses, workshops, and lectures on emotional social learning programs aimed at educating all educational, community and media institutions.
University Student-parents’ Experiences in the UAE during COVID-19: Future Implications for Higher Education
Authors: Dickson Martina , Al Hakmani Rehab , McMinn Melissa , Midraj Jessica , Elsori Deena , Tedam Prospera
Published: January 2023

The COVID-19 pandemic began in 2020 and threw higher education institutions worldwide into a rapid transition from face-to-face to online learning modes. While students everywhere were grappling with the changes to their learning experiences, those with parenting responsibilities had additional pressures. This study investigated how university student-parents across the United Arab Emirates experienced the change, and their perceptions of the impact of COVID- 19 on their studies. One hundred seventy-five students responded to a questionnaire exploring domains such as their domestic set-up for study, levels of support from family and their institutions, and the situation’s impact on their learning, well-being, and peer and instructor interactions. It was found that while many students relished being more involved with their children’s online schoolwork, this caused tremendous strain for some. Many students had responsibility for at least one child beside them as they studied, leading to multiple distractions that affected their learning and ability to meet deadlines. While most students reported keeping up social support networks with peers, a majority also stated feeling less supported academically by peers and faculty. Many students also felt that their mental health and wellbeing had been diminished due to the situation. The implications of the findings to higher education are discussed.