bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tradition, modernity, and Chinese masculinity
Authors: Feng Dezheng (William) , Yu Mandy Hoi Man 
Published: August 2021

Abstract
This article examines the multimodal construction of ideal manhood in male participants’ self-introduction videos in a Chinese reality dating show. A framework is developed to model identity as evaluative attributes and to explicate how they are constructed through linguistic and visual resources. Analysis of 91 videos shows two versions of idealized Chinese masculinity, namely, modern masculinity (mainly embodied by participants who have won a date), and traditional masculinity (mainly embodied by participants who have not won a date). Modern masculinity highlights career-oriented qualities, socio-economic status, and luxurious lifestyles, while traditional masculinity highlights family values, skills in Chinese cultural heritage, and class mobility. The findings provide new understandings of the complexity of Chinese masculinity in the dating show context, which reflects the influence of capitalist globalization on the one hand, and the government’s attempt to govern public conduct and morality on the other.
A corpus-based study on contrast and concessivity of the connective ‑cimanin Korean
Authors: Lee Hye-Kyung 
Published: August 2021

AbstractProviding a corpus-based analysis of the contrastive connective -cimanin Korean, this study demonstrates that global connections are as frequent as local connections as opposed to previous literature. In representing various senses possible with a -cimanconnection, this study adopts a fuzzy representation, where meanings range from conceptual to discoursal. The identified meanings include explicit contrast, denial of expectation, speech act hedges and idiomatic expressions. The fuzzy representation is supported for at least two reasons. First, categorization of some cases is often blurred. Second, it can better capture the relatedness of various meanings whose enduring sense concerns ‘contrast’. It is further revealed that interpretations of-cimanphrases are compositionally made with co-occurring linguistic units. The “pragmatic” meanings of-cimanconstructions are explained in terms of different levels of representations in which the contrast occurs. We further investigate the possibility of-cimanas a stance/discourse marker with accompanying expressions.
AP-PACVD plasma printer: investigating the influence of gas flow rates to printing resolution in parallel with CFD simulation
Authors: Acharya Kishor , Bulou Simon , Gaulain Thomas , Choquet Patrick 
Published: August 2021

Abstract
A coaxial shaped atmospheric pressure plasma torch has been used to deposit the millimetric scale plasma polymer. A detailed experiment has revealed the appearance of three different kinetic regimes with distinct coating morphology: no deposition, circular dot and circular ring formation. The ratio of precursor carrier gas flow to the plasma species carrier gas flow has been identified as crucial factor to separate the three regimes. Further experiments regarding the influence of precursor mass fraction on the dimension and deposition rates has been performed for a circular dot regime to get more insights into the coating shape, size and volume and its relation to gas flow dynamics. A side by side computational fluid dynamic simulation coupled with species transport module has been performed to understand the influence of flow dynamics on coating morphology. The appearance of recirculatory vortices in-between the nozzle and substrate and its role on confinement of precursor at specific region and mixing of plasma species to precursor has been highlighted. A good correlation in between the diameter of thus coated plasma polymer in circular dot regime and the simulated confinement zone is here reported.
Realization of Low Cost Footwear Integrated Step-Counting Device for Health Monitoring System
Authors: Aryan  , Mittal Poornima 
Published: August 2021

Abstract
In this paper, a piezoelectric sensor is used to sense the pressure generated when steps are taken. The output voltage generated by the piezo electric sensor is passed through a cascade combination of two voltage comparators, (LM 358 AND 741), the output of which is HIGH(5V) when a piezoelectric sensor is pressed and the voltage across the sensor goes above the threshold. The output of the comparators is then fed to the counter circuit (implemented using 4026 IC), which counts the number of times the output is high/steps are taken. Finally, the output is exhibited on a 7-segment display common cathode display.
Prediction Accuracy Model Aiming to Improve Prediction Accuracy in Congenital Heart Anomaly Detection using Hybrid Feature Selection with Modified Particle Swarm Optimization Approach
Authors: Nabi Dr. Shaik Abdul , Ramya Laxmi K. 
Published: August 2021

Abstract
Heart Disease is one of the primary causes of mortality and morbidity in the Globe since the 19th Century. Most of the Globalized Multi-Specialty Hospitals are not able to control and governed by emerging technologies, at the same time, the death rate escalates day by day in addition to Covid-19 is a multifaceted state. Heart disease classification involves identifying numerous health problems and sickness symptoms of ones’ individual with significant feature selection, there is misclassification probability that could be very high and priceless. There are many diverse methods were designing for heart disease prediction systems in earlier days, even though it is unsolved and rising the death rate. As observed by many research groups, PSO is an intensive computational and inspired biologically inspired algorithms like Genetic Algorithms (GA) has a proven track record to handle computationally complex problems with competence for predicting heart diseases. This research contribution through the proposed model downs the computation time and increases the accuracy. The high-level comprehensibility, predictive accuracy are good and desired through this Intelligence Hybrid Approach (IHP) to reduce Heart attacks and control the death rate.
Mutual Information-Based Optimum Metrics Identification in Symmetry-Based Brain Abnormality Detection
Authors: Al-Azawi Mohammad A. N. 
Published: August 2021

Abstract
In our previous studies, we showed that brain abnormalities can be detected by comparing the features extracted from the two lobes with each other. Based on this, many metrics, such as those extracted from colour or texture features, have been extracted and used. The large number of extracted metrics posed a challenge in terms of how important each metric is. In this research, we use the mutual information content to measure the importance of the metrics and their influence on the classification process as it gives an indication of how the output and each input are related to each other. The algorithm was applied to 366 images, from which eleven metrics were extracted and studied. Random forest classifier was used as it was proven that it gives the highest accuracy. The obtained results showed that 30% of the features can be eliminated without a significant effect on the accuracy.
Optimizing Neural Network Parameters For Effective Classification of Benign and Malicious Websites
Authors: Balamurugan P. , Amudha T. , Satheeshkumar J. , Somam M. 
Published: August 2021

Abstract
Bio-inspired algorithms are the most powerful way to solve optimization problems. The objective of this paper is to use optimized network parameters for website classification and the efficiency of Neural Network is improved by optimized network parameters. The network parameters are optimized using two bio-inspired algorithms: Particle Swarm Optimization (PSO) and Cuckoo Search (CS) and the optimized parameter values are used with two neural network models, a standard Multi-Layer Feed Forward Network with Backpropagation (BPN) and Radial Basis Function (RBF) Network. Security is one of the major concerns in this digital era. There are numerous websites, which are potentially risky in spreading malicious files. It is difficult to detect such websites. In this work, Neural Network is used to classify the websites as benign and malicious. The proposed neural network models are tested with URL dataset. The experimental results are assessed in terms of Error reduction, training time and classification accuracy. The experimental result shows that the optimized network parameters have given good improvement in classification with faster convergence.
IoT based Agri Soil Maintenance through Micro-Nutrients and Protection of Crops from Excess Water
Authors: Kanakamedala Phaneendra , Reddy Bhumireddy Anil , Sri Nannapneni Kavya , Nadakuditi Bangari , Jayanth Kumar K. 
Published: August 2021

AbstractThe productivity of the crop depends on the soil, fertilizers, and water. The fertilizers provide micronutrients for vegetable farming like nitrogen, zinc, and others. To meet the increasing demand for food, crops should be able to withstand the adverse effects produced by the environment and unpredictable sources. The structure of smart agriculture is similar to networks, which are designed in 3 layers. Sensor layer to get information about various parameters, products, and operating environment. Transport layer to communicate the obtained information in between the various devices and as well as to and from a remote server. Application layer to analyse, visualize and predict the data for further actions to be implemented. In the proposed system, it uses multilinear regression to predict the water levels and micro-nutrients that are excess for the crop cultivation because farmers need analog data, not digital data. So that they can take necessary precautionary steps to protect the field from getting damaged.
The use of multi-agent systems for modeling technological processes
Authors: Petrovich Bobkov Sergey , Aleksandrovna Astrakhantseva Irina 
Published: August 2021

Abstract
The article is devoted to the issues of using discrete simulation models for modeling some basic technological processes. In the scientific work, models in the form of multi-agent systems have been investigated, which allow us to consider a continuous environment as a set of interacting elements (agents), the behavior of which obeys local functions. The authors describe the basic techniques and general methodology for the development of deterministic agent-based models. The paper considers the use of multi-agent systems for modeling thermal conductivity, taking into account the nonlinearity of the process, in homogeneity of the material and the presence of volumetric heat sources of variable power in it. The obtained scientific results are in good agreement with the generally accepted classical approaches and do not contradict the provisions adopted in the theory of thermal phenomena.
Smart Grid model verification method
Authors: Voinov Artem , Senokosov Ilya 
Published: August 2021

Abstract
This paper considers a method for verification and subsequent modification of the Smart Grid during design stage. For automated use, it is required to create a network template, the elements of which would be present in any particular case of implementation. This role in our method is performed by the Smart Grid ontology. Verification for the network created by designer is carried out through comparison with abstract ontology model. When differences are found (e.g., lack of desired control system), the solution search occurs among the rules in Prolog language for this situation, and the Smart Grid model created by designer is translated into Prolog description. If rules are found, then they are applied, modifying the model created by designer. If not – return the model to designer for improvement. The last stage is the processed ontology model translation back to initial description. This method is considered on the example of abstract network model.
Logical approach to the analysis of economic development programs
Authors: Kanametova D A , Lyutikova L A 
Published: August 2021

Abstract
The present paper proposes a logical model for building an effective economic development programmer. It is built on the basis of existing programs, which are not the best in terms of their strategic implementation, but can improve some economic indicators. As part of our model, these programs will be considered as elements of a logical scheme that should implement a development program with optimal indicators.
Determination of the formation model of the phase concentration field along the section of the turbulent flow of hydrotransport using information technologies
Authors: Ilhamov Kh Sh , Arifjanov A M , Narzullaev D Z , Abdurakhmanov B A , Shadmanov K K 
Published: August 2021

AbstractThe problem of increasing the reliability and durability of hydrotransport facilities is one of the most important national economic tasks. The formation of the concentration field of the second dispersed phase, which is nonuniform over the cross section, is studied by the turbulent stationary motion of the mixture in a horizontal cylindrical pipe and the transporting ability of the flow is estimated. The article proposed a mathematical model and a method for calculating the concentration field of solid particles along the depth of the flow using information technologies, where the formation of the concentration field is first determined through the size of solid particles when a two-phase mixture moves in a horizontal cylindrical pipe. Also, in this model of mixture motion, the coefficient of the force of interaction between the phases is determined depending on the concentration distribution. The problem is solved by a numerical method using the integrated system for mathematical calculations MathCAD. Investigating the numerical results of the problem, the nature of the formation of the concentration field at various values of the saturation of the flow with solid particles and which makes it possible to estimate the size of these particles taking into account the turbulence of the flow. The implementation of the developed mathematical models and recommendations will make it possible to predict the transporting ability of a two-phase flow in pressure systems, and help to find solutions for spatial hydrotransportation and irrigation and drainage systems.
Application of remote sensing technologies for studying urban forests in conditions of technogenic impact
Authors: Yu Zengina T , Kirillov S N , Slipenchuk M V , Uskova K A 
Published: August 2021

Abstract
In this work, an attempt was made to assess the possible change in the photosynthetic potential of the forests of New Moscow, depending on the degree of their remoteness from the territories with technogenic impact, based on the data of remote sensing of the earth. Because of constructing the time series of the spectral index NDVI, the value of the photosynthetic potential of homogeneous forest areas at different distances from the old borders of Moscow was estimated. Studies have shown that the average NDVI values of forests increase with distance from the borders with Old Moscow. The lowest NDVI values (0.70) are typical for forests located at a short distance from Moscow. In the central part of New Moscow, the index is 0.72, and the highest NDVI values (0.75) are observed within the settlements located in the south near the border with the Kaluga region.
Network traffic analysis based on machine learning methods
Authors: Vulfin A M , Vasilyev V I , Gvozdev V E , Mironov K V , Churkin O E 
Published: August 2021

Abstract
Comparison of mining algorithms in the problem of detecting malicious network activity based on machine learning models is performed. A structural diagram of a system for analyzing network traffic in an industrial network based on machine learning methods has been developed. On one of the known datasets (CICIDS17), a series of experiments was carried out on preliminary analysis and preprocessing of features, highlighting the most significant features and building final models of classifiers. The f1-measure score for the committee of classifiers on the test sample is 0.967.
Modelling of the evolution of the multi-behavioural dynamics from the regulatory climate theory
Authors: Kolokolov Yu V , Monovskaya A V 
Published: August 2021

Abstract
The regulatory ability in the local climate dynamics to evolve in accordance with the environmental changes is modeled in the paper. The specialized software provides the following research program: to calculate the solutions of the nonlinear nonstationary multi-behavioural model of the dynamical system with variable structure; to determine the nonlinear dynamics regularities on the basis of these solutions; to reconstruct these regularities by processing the meteorological observations; to solve the inverse problem of building the multi-behavioural portraits of local climate dynamics by use of the reconstructed regularities. Thus factually realized and potential evolutional vacancies of the local dynamics are visualized in the form of the multiple attractors. The physical basis of the research originates from the regulatory climate theory, in accordance with which the local climate dynamics is conceptually considered as the dynamics of the solar energy converter under the astronomically forced hysteresis control with double synchronization. Here landscape and ecological relations are taken into account via the adaptation unit, and the recent dynamics is compared with the one observed as far as possible distant in time. So, structural modifications within the multi-behavioural portrait of local climate dynamics are revealed and crucial evolutionary tendencies are demonstrated.
The impact of digital education transformation on technical college teachers
Authors: Tsarapkina Ju M , Anisimova A V , Gadzhimetova B D , Kireycheva A M , Mironov A G 
Published: August 2021

Abstract
The transformation of the educational environment based on digital technologies contributes to the emergence of new forms and methods of work of teachers. The search for new learning technologies in the digital educational environment contributes to the motivation of teachers to improve themselves in their professional activities. The authors investigate the impact of the use of electronic teaching tools on the motivation for professional activity of college teachers. In the course of research activities, the authors have created a number of courses on a digital educational platform that can be used by teachers of various disciplines. The article describes the advantages and disadvantages of working with these digital resources. The survey results obtained in the course of the study indicate that the majority of teachers are satisfied with their work in college, but they note the insufficient equipment of pedagogical activities with digital means. Also, almost two-thirds of the respondents strive to use innovative teaching aids in their activities. Using the methodology of K. Zamfir in the modification of A. Rean, the authors revealed an increase in the high and medium level of motivation of professional activity among teachers.
Study on Fracture Parameters of Stress Corrosion Cracking Tip of AA6082 Alloy at the Microscopic Scale
Authors: Song Jia , Fan Ding , Wu Wenheng , Lei Liming , Zhang Liang , Gao Zhibin 
Published: August 2021

Abstract
A two-dimensional finite element model is used to explore the fracture parameter in the tip region of stress corrosion crack (SCC) of AA6082 alloy. Based on the ABAQUS code, we investigate the effect of oxide film’s yield stress on the Mises stress and equivalent plastic strain (PEEQ) in the crack tip. The results show that as the yield strength of oxide film increases, the Mises stress and PEEQ of base alloy in crack tip area both decrease, and the stress of oxide film in crack tip also reduces, but the strain increases. This is because the oxide film bears more load, so the load on the base alloy of the crack tip becomes smaller, resulting in a reduction in the stress and strain on the base.
Mutual Effect of Oxide Peg Growth and Reactive Element Distribution in Ti-doped CoNiCrAlY Alloys
Authors: Yang Liang 
Published: August 2021

Abstract
CoNiCrAl alloys are widely employed as a high temperature resistant material in thermal barrier coating (TBC) systems. In such materials, the adherence between the thermally grown oxide (TGO) Al2O3 scale and the alloy is strengthened by oxide pegs formed by dispersed oxide addition or the oxidation of doped reactive elements. In this study the addition of Ti as the reactive element to a CoNiCrAlY alloy has been addressed. We investigated the mutual effects between Ti and the oxide pegs in alloy samples that had been subjected to a cyclic oxidation process. The alloy with a higher Ti content exhibited a uniformly fine β-phase and fewer voids at the scale/alloy interface, the scale growth rate was lower for Ti-containing alloys. In addition, the formation and growth of oxide pegs led to an irregular distribution of Ti in the scale and at the scale/alloy interface, which resulted in local variations in the features of the scale, with fewer voids and a thinner scale at the sites that are far from the oxide pegs. Meanwhile, the incorporation of Ti to the Y-rich oxide led to an increase in the bonding strength between the peg core and the Al2O3 sheath.
Theoretical Analysis and Experimental Study on Rail Dynamic Load of Electromagnetic Launcher
Authors: Liu Jingang , Dong Zhiqiang , Su Zizhou , Huang Kai , Ren Ren , Zhang Tao , Chen Yanhui , Li Shili 
Published: August 2021

Abstract
In the course of electromagnetic launch, the rail deflection deformation seriously affects the service life and launch accuracy of the orbit. In order to reduce the deflection deformation in the process of orbital launch, based on the principle of electromagnetic emission, simplifying the orbit to Euler-Bernoulli beam, built moving load working conditions of the electromagnetic moving load model, using the electromagnetic launcher bore related structural parameters and material parameters for the rail electromagnetic theory analysis and calculation, the analysis results show that under the condition of the same peak current, rail the biggest position in midpoint deflection deformation; under different peak current, the deflection of the midpoint of the rail increases non-linearly. The deflection of the rail can be effectively reduced by increasing the stiffness of the elastic support. According to the above theoretical analysis results, an electromagnetic launching device was developed. The experimental comparison results show that the deflection deformation is reduced by 42.86% and the critical launch velocity is increased by 6.86% with the increase of support stiffness.
Overview of Robotic Reducer Testing Technology
Authors: Lin Yuanchang , Sun Wencheng , He Guotian , Zhang Zhenjun 
Published: August 2021

Abstract
As a high-performance precision reduction transmission equipment with large transmission ratio, high transmission efficiency, high transmission accuracy, stable transmission and low noise, reducer has been widely used in many fields such as industrial robots. The definition of the reducer is studied, the development history of the reducer is briefly introduced, and the classification and characteristics of the reducer are summarized, including traditional reducer, RV reducer, harmonic planetary reducer and cycloid reducer, A new generation of reducer and influencing factors such as transmission accuracy, transmission efficiency, backlash, torsional stiffness, noise, and assembly. The problem of precision reducer is analyzed, and finally the application and development trend of reducer are studied.