bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study the Optimal Operative Conditions of New Glow Discharge Ion Source for Polymeric Treatment
Authors: Hassan M.G. , Soliman B.A. , El-Saftawy A.A. , Abdelrahman M.M. , Abdelmageed K.E. , Hassouba M.A. 
Published: August 2022

Abstract
The design, manufacturing, and systematic parametric evaluation of a modified glow discharge ion source (with a pear-shaped anode and a plane cathode) are detailed to extract low-power, high plasma density, and high-intensity ion beam current for material processing. The study includes determining the optimal operative conditions for ion source performance and optimizing its properties. The ion beam current was measured at various argon gas pressures and anode-cathode distances as well as its measurements at various ion source - collector plate distances. At the optimum settings, the influence of discharge pressure on the output current was evaluated using various gases (argon, oxygen, nitrogen and hydrogen). In addition, the influence of applied negative voltages on the extractor electrode (different hole diameters) on the generated ion beam current is being explored. Finally, SIMION computer program evaluated and studied ion beam optics. The simulation and experimental results for a highly efficient ion beam derived from the planned ion source agreed well.
Development of Expert System for Flexible Pavement Design in Sabah
Authors: Ladin M A , Yi L C , Darawati A S , Bolong N , Saad I , Rusli R , Mat Yazid M R , Yahia H A. M 
Published: August 2022

Abstract
Flexible pavement covers three quarters of the total local roads including Sabah. An ideal flexible pavement should have sufficient thickness to distribute the load to subgrade but not overdesign which cause extra cost. This research paper is conducted to develop an expert system for flexible pavement design in Sabah. It is aimed to reduce the hu-man error during the design phase in order to ensure the road quality. Sabah is selected as the location as Sabah is developing state that involve many on-going highway and flyover construction. Besides, expert system is important in this modern era to replace manual calculation that waste time and energy. Information about flexible pavement is collected through literature review from previous research papers and from human experts who have years of experiences in road construction. The information obtained is analysed and coded using Visual Basic Net. programming language on Microsoft Visual Studio. An expert system for flexible pavement design in Sabah is developed with a given name, ES-FPD. For validation test, comparison is made between results obtained from ES-FPD and manual calculation by expert evaluator. The results show ES-PFD passed both evaluation test and validation test. ES-FPD is considered to be verified and can be used.
Modified canny edge detection technique for identifying endpoints
Authors: Kieu S T H , Bade A , Hijazi M H A 
Published: August 2022

AbstractEdge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. However, one of its problems is the discontinued edges. In this paper, we present an endpoint identification algorithm that can pinpoint the position of the discontinued edges. After the endpoints are identified, they are paired together based on distance, and the broken gaps are filled by connecting the endpoints. Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny.
Development of Transportation Models Based on Students’ Interest in a Parking Charging System at Universiti Malaysia Sabah (UMS)
Authors: Ladin M A , Yung L J , Darawati A S , Bolong N , Saad I , Mat Yazid M R , Abbil A , Yahia H A M 
Published: August 2022

Abstract
Transportation management and sustainable transportation planning were critical. A well-planned transportation system is extremely beneficial in terms of efficiency and environmental friendliness. To that end, parking charging was one of the transportation management topics covered in this study. A parking charging system is one in which a user can leave their vehicle at a particular place and pay a price based on the amount of time it was left unattended. Given the rising use of private vehicles, which has resulted in an increase in congestion and air pollution, it is believed that a parking fee system can be implemented to alleviate the situation. The primary purpose of this research is to develop a transportation model based on the parking price factor in Ringgit Malaysia (RM). At the completion of the study, a transportation model based on parking rates will be developed, and it is projected that once implemented, the percentage of private vehicles that use public transportation will increase. This model is deemed necessary in order to mitigate the harmful effect of an excessive number of private vehicles at UMS. The State Preference Survey (SPS) method was used. A questionnaire form was developed and distributed online to 300 respondents among the students of the Faculty of Engineering at UMS, in order to collect the required data. The data collected was then analyzed using linear regression to develop several transportation logistic models. The transportation models that have been developed in the form of a logistic model that can reflect the willingness of UMS students to shift from private vehicles to public transport. These models predict that when the parking price increases, the percentage shift of private vehicles to public transport will increase linearly. It is also found that 100% of drivers are willing to shift from private vehicles to public transport if the parking price per hour is RM 4.00. Shifting private vehicle users to public transportation may assist lower the number of private vehicles on the road and thus indirectly help mitigate the negative consequences of an excess of private automobiles.
A review on the effect of crumb rubber in civil engineering applications
Authors: Arot E , Asrah H , Lim C H 
Published: August 2022

Abstract
The increasing amount of tyre waste seen each year, which corresponds to growth in vehicle demand and usage around the world. The subject of tire waste disposal has been a hot topic among researchers due to the growing amount of waste production each year, the negative influence on the environment, and the potential solutions to these issues. Because of the complexity of the structure, content, and quality of the rubber, disposing of discarded tyres is difficult. Researchers have recently become interested in crumb rubber, which is a product regenerated from tire waste after undergoing a separation process, because of its potential as a raw material in the development of construction materials that may be used to replace natural resources. Crumb rubber, depending on its quality and category, can be utilised in a variety of civil engineering projects to help make them more cost-effective and long-lasting. Further study and development of crumb rubber processing and application methods may enhance tyre waste recycling rates and, as a result, reduce environmental difficulties associated with tire waste landfilling. The primary goal of this research is to review existing crumb rubber research, particularly in terms of characteristics, processing methods, and rates of application in the construction industry. This study could serve to encourage and promote the widespread usage of crumb rubber in civil engineering projects.
The study of the effect of the pores on the electric field distribution inside alumina ceramic
Authors: Gan Pingping , Wang Yajun 
Published: August 2022

Abstract
Alumina ceramics are widely used as high-voltage insulation
material due to its good electric insulation. As we all know that
the defects inside the ceramic have great impact on the insulation
property of the ceramics, especially the pores. For a better
understanding of the effect of the pores, we carried out the
fundamental study of how the pores affect the electric field
distribution inside alumina ceramics by simulation and theoretical
analysis. The results showed that the electric field strength inside
the pore is higher than that without any pores inside the ceramic
and the increased proportion is almost constant which is not
relative to the size and location of the pore.
Joint remote implementation of operators
Authors: An Nguyen Ba 
Published: August 2022

Abstract
We propose a deterministic protocol for three distant parties to cooperate so that two parties can implement their secret unitary operators on the third party’s secret quantum state via shared quantum channel assisted by cross-Kerr nonlinearities. The operators are of general form while the state may be encoded either in spatial degree of freedom or polarization degree of freedom. The quantum channel is served by a three-photon hyperentangled state establishing the minimum of consumed photon number for this type of task. This protocol can be named joint remote implementation of operators which is necessary for distributed quantum tasks throughout a quantum network.
The effect of breathing exercise on daytime sleepiness and fatigue among patients with obstructive sleep apnea syndrome
Authors: Serçe Sibel , Ovayolu Özlem , Bayram Nazan , Ovayolu Nimet , Kul Seval 
Published: August 2022

Abstract
This study was conducted with randomized controlled and experimental design to examine the effect of breathing exercise on daytime sleepiness and fatigue on patients with obstructive sleep apnea syndrome. The first application was performed by teaching patients in the intervention group breathing exercises including diaphragmatic and pursed lip breathing via the face-to-face interview technique. Then, the researcher applied breathing exercises in the same patient group every morning/evening for 10–15 min and a total of 20–30 min for eight weeks via the online interview method. The data were collected via a questionnaire, Epworth sleepiness scale (ESS), and Piper Fatigue Scale (PFS). Chi-square, Student’s t, Mann Whitney U, paired sample t-test, analysis of variance (ANOVA) and generalized estimating equations were used to assess the data. It was determined that PFS total mean score of the intervention group which was 6.15 ± 1.65 before the application decreased to 5.34 ± 1.94 in the eighth week (p > 0.05) and PFS total mean score of the control group which was 5.59 ± 1.76 before the application increased to 5.77 ± 1.81 in the eighth week (p > 0.05). ESS total mean score of the intervention group which was 12.13 ± 4.34 at the baseline decreased to 9.13 ± 4.71 in the eighth week (p > 0.05) and ESS total mean score of the control group which was 10.37 ± 2.77 at the baseline increased to 10.5 ± 2.85 in the eighth week (p > 0.05). It was concluded that breathing exercise performed in the intervention group decreased the fatigue and daytime sleepiness mean scores of the patients at the end of the fourth and eighth week. In addition, the group-time interaction was significant, which was associated with the intervention group.
The Irrigation Practice Influence on the Onion Yield Under Drop Watering
Authors: Dubenok N N , Lytov M N , Matveeva O A , Kuznetsova V V , Kuznetsov V I , Sukhova T N 
Published: August 2022

Abstract
High onion yield of hybrid Dutch variety “Manas F1” is possible by using drop watering method in combination with additional helio-based ridge profile using the RGD-1,2 ridger with special land levelers and torn down diggers. Property that define this method is the ridge slicing from west to east at a downgrade 8.5 ° of the response surface to the horizon. As a result, the ridge grade turns to the sun throughout the day light hours. This technology provides accelerated ridge heating in the spring period, improves the microclimate and protects sprouts and young onion from prevailing winds. The differentiated pre-irrigation soil moisture threshold on 80-70 % HB in a layer of 0.3 m from seeding to formation of the 5th leaf, followed by an increase in the calculated layer to 0.5 m and the available soil technology, allowed to obtain onion yield at the level of 110,6 t/ha.
Electron-optical methods for tubers quality diagnosing
Authors: Zanfirova L V , Melikov A V , Chistova Ya S , Ovsyannikova E A 
Published: August 2022

Abstract
The tubers quality assessment and indicators are presented in the article. The world experience of electron-optical methods using for instrumental diagnostics of potatoes ripeness and commercial quality, the feature of which is to determine the tuber quality without violating its physical integrity, is described. A brief description of each group of electro-optical methods is given. The use of combined methods is proposed to increase the accuracy of tubers sensing, in particular, when creating multi-parameter sorting devices. Due to the complexity of the potato sensing process, software and hardware are required, designed on the principle of the biological neural networks organization and functioning.
The method of hierarchy analysis as a tool for determining the significance of competitiveness factors of agricultural enterprises
Authors: Skiter N N , Ketko N V , Kabanov V A , Khryseva A A , Vasuf A A 
Published: August 2022

Abstract
In the context of economic globalisation and competition, the main factor that allows a company of any industry specialisation to maintain stability and retain a competitive position in an ever-changing marketing environment is its competitiveness. This article describes modern factors that have a positive impact on the competitiveness of agricultural companies and proposes mathematical tools to identify the most significant ones for economic activity.
Reed Fescue Cultivation Basic Techniques Influence on Organics and Nutrients Accumulation in the Soil
Authors: Dronova T N , Burtseva N I , Zemtsova I P 
Published: August 2022

Abstract
The article presents the results of many years research on the new valuable reed fescue bluegrass crop attracting to the fodder production of the region. Rational combinations of the main crop-forming factors were established: timing, sowing methods and their effect on the fescue productivity when used for seed and fodder purposes, ensuring the receipt of 400 to 800 kg/ha of seeds and from 20 to 30 t/ha of green mass. Reed fescue, when optimizing the conditions of the soil water and nutritional regime, timing, sowing methods and norms, is able to influence the fertility and the content of basic nutrients in the soil, by accumulating the root mass by the years of life from 5.0-6.0 to 17.7-20.4 t/ha of dry roots, which contributes to the introduction of 52-73 to 123-187 kg of nitrogen, 10-38 - phosphorus and 149-204 kg/ha of potassium.
Neural network natural language processing tools for identifying personal priorities in the project performers selection in the field of smart agriculture
Authors: Polshchykov K A , Velikanova A S , Igityan E V 
Published: August 2022

Abstract
The project implementation effectiveness in creating digital smart agriculture systems depends on the correct selection of performers. Considering personal priorities makes it possible to increase the validity of decision-making regarding the employment of specific individuals for the implementation of IT projects in the agro-industrial sector. Personal priorities are internal, hidden characteristics that have an effect on the process of long-term joint work and interaction in various situations that arise in the team. The identification of the analyzed individual’s personal priorities is proposed to be reduced to solving the classification problem based on the analysis of person’s text Internet traces using neural network technologies of natural language processing. As a training sample, it is proposed to use a set of text document vectors and the corresponding marks of personal priority classes. In the process of identifying the personal priorities classes, it is required to create an appropriate text array based on parsing and processing of text messages published on the Internet by the analyzed person. Next, from the resulting text array, a text vector of the document must be formed, which then needs to be submitted to the input of the neural network. It is assumed that the mark of the analyzed individual’s personal priority class will be displayed in the output layer of neurons.
Systematic analysis of retrospective crop yields time series based on their structure identification
Authors: Rogachev A F , Simonov A B 
Published: August 2022

Abstract
Agricultural production and crop production, as its basic branch, is characterized by a significant dependence on solar activity (the Shvabe cycle) and hydrometeorological conditions of a particular year, especially in areas of insufficient moisture, which are mainly characteristic of the regions of the Lower Volga region of Russia. For the planning and management of agricultural production, a reliable forecast of the yield of cultivated crops is important. Previously published results show that the empirical distribution of retrospective TS yields, including the example of grain crops, is statistically significantly different from the normal one. This justifies the use of more subtle research methods, such as singular value analysis (SSA). The algorithm of the SSA method includes several stages, the main of which is the singular decomposition of the trajectory matrix into the sum of elementary matrices, each of which is given by a set of eigenvalues. At the final stage, diagonal averaging is performed, according to which the elementary matrices within each set are summed. The singular decomposition of the data on the dynamics of the BP yield was carried out according to the data for 1950-2018 on the example of grain crops in arid conditions of the Volgograd region. For the practical implementation of the SSA method, a computer program in Python was developed, using specialized mathematical libraries. The program provided a singular decomposition of the trajectory matrix, diagonal averaging of the resulting matrices, as well as the restoration of the set of series, taking into account their contribution to the analyzed TS. The use of the SSA method allowed us to identify the main natural and economic cycles, including a cycle with a period of about 14 years, which plays a major role in the dynamics of the formation of grain yields. Pronounced cycles of a different duration, among those identified by the SSA method, have not been established. There is a strong negative autocorrelation of the levels of interannual variability of grain yield values, which is present on the graphs of many restored series.
The quality improving of multi-criteria assessment of enterprises in social sectors
Authors: Zamotajlova D A , Popova E V , Tinyakova V I , Karyagina T V 
Published: August 2022

Abstract
A distinctive feature of the social spheres functioning is acute cash shortages among consumers and the social demand presence; this makes it impossible to use “classical” methods of multi-criteria analysis and underlines the importance of an effective and objective apparatus creating for evaluating enterprises in these areas. The TOPSIS method was chosen as the basis for the creation of such a toolkit, a modified version of which allows the needs and capabilities of consumers to be taken into account as accurately as possible and the criteria apparatus to be flexibly adjusted to a specific request. However, due to the fact that the alternatives assessment is carried out by experts, it is important to provide a mechanism for its results objectivity increasing through the experts’ competence assessment.
Modeling the processes of the rural areas labor potential forming as the paradigm for the regional socio-economic policy development
Authors: Balashova N N , Smotrova E E , Donskova O A , Peters I A , Melikhova L A 
Published: August 2022

Abstract
This article is devoted to identifying the factors that have the greatest impact on the dynamics of the rural areas labor potential in the region by using methods of economic and mathematical modeling. A statistically significant multiple regression model was obtained, it determined that such factors as the provision of rural residents with housing and the total population of the region mostly influence the number of labor resources. Checking the significance of the obtained equation was determined by using the multiple correlation coefficient, determination, Fisher’s F-criterion. The assessment of the regression coefficients significance was carried out on the basis of the Student’s t-test. Average indicators of elasticity allowed to build factors according to the strength of their impact on the result.
Development of information system for predicting agricultural companies’ stock price in the context of epidemiological crisis
Authors: Yakhontova I M , Krivenko M S 
Published: August 2022

Abstract
The Covid-19 epidemic has a significant impact on many areas of life and economic indicators, including the stock prices of various companies. The ability to take this influence into account when making financial and brokerage forecasts by using qualitatively new data will improve the quality of forecasts. In 2020, according to the Moscow Exchange Market, the trading volume on the stock market of the Moscow Exchange market reached 23,905 billion rubles. For comparison, in 2015 the trading volume on the stock market of the Moscow stock exchange reached only 9,328 billion rubles. Thus, in connection with the growth of trading volumes, the relevance of information systems for predicting stock prices is growing.
Tutorial for increasing the potential of microalgae in restoring the ecosystem of the Don River
Authors: Melikhov V V , Medvedeva L N , Moskovec M V , Fedorov A L 
Published: August 2022

Abstract
The article raises questions of anthropogenic impact on continental water bodies. The results of expeditionary studies to increase the potential of microalgae in the improvement of the Tsimlyansk reservoir, created on the Don River on the basis of the use of biological reclamation - algolization, are presented. The reasons for the deterioration of water quality in the reservoir are determined, which are associated with the intensive introduction of pollutants and hydrometeorological conditions that contribute to the intensive development of phytoplankton in the summer-autumn period. At the end of May, the water column warms up rather quickly (+20° C), phytoplankton begins to multiply strongly, the number reaches - 20.5 million cells/l, biomass 15.5 g/m3. The most active are blue-green algae of the genus Anabaena. In July-August, a prolonged increase in water temperature up to 25-27°C contributes to an increase in phytoplankton of blue-green algae of the genera Aphanizomenon, Microcystis, Oscillatoria. Blue-green algae, creating the effect of “blooming” of water, form large colonies and dominate over other types of microorganisms. Thanks to the developments of scientists, it became possible to use biological reclamation in the restoration of ecosystems of natural and artificial reservoirs. Algolization - the introduction of microalgae Chlorella vulgaris into water bodies, allows to improve the quality of water in terms of gas composition, content of organic substances and reduce the effect of water “blooming”.