bluuebunny/crossref_metadata_2025 huggingface dataset:
Japan Government and NGOs Effort Towards Eliminating Racism in Japan
Authors:   Universitas Udayana, Aurelia Angel , Bero Fransiska Priskilia , Santoso Nethania Georgina Rosarika Surya ,   Universitas Udayana
Published: September 2023

Japan faced racist issues and it impacts the society. Which is crucial since society play an important role in a country. Therefore are there any efforts coming from the government of Japan and NGOs to solve this problem? Knowing the efforts made by both governments and NGOs to combat racism could help increase accountability, transparency, and public trust in these organizations and the initiatives they undertake. The primary data in this study were obtained from the results of interviews conducted by the authors of the informants, while the secondary data was in the form of documents and journals that were relevant and could support the research. The government does provide facilities such as consulting services for foreigners to report racist acts they experienced. The government and NGOs initiate a campaign in the form of a billboard. It is considered not effective and has little impact. On the other hand, the Japanese government has begun to socialize by giving some advice to companies in Japan to provide a Japanese language learning medium to train foreign workers. Based on the results of the research, most of our informants stated that the efforts made by the Japanese government and NGOs aren’t enough. The Japanese government and NGOs should consider bigger efforts to eliminate racism in their society.
Japan’s Aging Society: A Challenge to Japan’s Diversity & Social Inclusion
Authors:   Universitas Gadjah Mada, Paschaline Fransisca Fleicia , Prastita Rama Ardhia ,   Universitas Gadjah Mada, Mega Ericka ,   Universitas Gadjah Mada
Published: September 2023

Japan is a super-aged society. The combination of high life expectancy and low fertility rates leads to a decreasing population. The situation is so chronic that at the extreme consequences, Prime Minister Fumio Kishida warned Japan was "on the brink of not being able to function as a society." Based on this issue, the article aims to discuss and examine how Japan's demographic crisis affects diversity and social inclusion in economic, social, and political life and what policies should be enforced to create a more diverse and inclusive society in Japan. It is an important topic as no existing literature comprehensively examines how the aging society directly impacts diversity and social inclusion. This paper uses the concept of shrinkanomics, which describes the troublesome economic development in Japan due to its shrinking population, and the theory of inclusive social development, which emphasizes that sustainable development can only be achieved if all members of a society are included. This paper argues that an aging society significantly impacts the political issue of strict immigrant policies and Japan's identity, the economic gap between generations, and the social issue of the healthcare system. To address these issues, the authors argue that there is a need for sustainable policy by pursuing a proactive approach to immigration, enhancing public-private partnerships to promote inclusive economic innovation, and strengthening the home and community-based care system.
Womenomics: Gender Inclusivity as a Growth Strategy in Japan
Authors:   Universitas Udayana, Elysia Janice , Juniari Ni Putu ,   Universitas Udayana, Devi Ni Luh Putu Cintya ,   Universitas Udayana
Published: September 2023

As a developed country, Japan is not immune to difficulties. Hyper-aged population, economic stagnation, and gender inequality are some of the crucial issues. The presence of the Womenomics policy in 2013 as an effort to empower women in Japan is one of the Japanese government's solutions to mitigate the problem of hyper-aged population, economic stagnation, and gender disparity. This research aims to discover and examine the challenges of the 21st century in Japan, particularly the subject of women's empowerment and its correlation with economic growth. The descriptive qualitative case study research method was applied to examine the political goods within the Womenomics policy. With a public policy approach, the study's findings represent Japan's efforts to implement an gender-based innovative policy that allows Japanese women to access equal opportunities in social, political, education, and economic sectors to increase the labour force number as the growth strategy to mitigate the impact of the hyper-aged population in Japan. This policy shows that Japanese women have grown in the workplace, however many challenges still occur to tackle the gender-biased paradigm in Japanese society, such as wage-gap problems.
Effects of Serious Games for Patients With Chronic Obstructive Pulmonary Disease: Systematic Literature Review
Authors: Huang Houqiang , Huang Min , Chen Qi , Hayter Mark , Watson Roger
Published: September 2023

Background

The use of serious games for rehabilitation has been an emerging intervention in health care fields, referred to as an entertaining and positive activity. Although related studies have been conducted on patients with chronic obstructive pulmonary disease (COPD), a more comprehensive study that summarizes and evaluates its effects in this area is needed.

Objective

This review aimed to systematically evaluate the effects of serious games in promoting rehabilitation and related outcome measures of serious game–based engagement in patients with COPD.

Methods

This review adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Searches were performed in the following databases: PubMed, Scopus, Embase (via Ovid), CINAHL, Science Direct, and China Biology Medicine disc. Only quantitative studies were included in this review, and the methodological quality and bias of the included studies were evaluated using related tools. Several outcomes, including clinical outcomes and serious game–based engagement outcomes, were ultimately collected in this review. The results were summarized and evaluated using descriptive methods due to significant heterogeneity.

Results

In total, 11 studies were included. Serious games played a potentially positive effect on pulmonary function and exercise capacity. However, no consistent findings were reported on dyspnea and psychological status. Additionally, serious game engagement showed favorable findings on adherence, enjoyment, and acceptability. Furthermore, no serious adverse effects were identified in all included studies.

Conclusions

This review preliminarily indicated the potential benefits of serious games in promoting rehabilitation for patients with COPD, despite the limited quality of the included studies. More studies with high methodological quality are needed to further explore the effects of serious games in this field.
Social Media and Selfie-Related Mortality Amid COVID-19: Interrupted Time Series Analysis (Preprint)
Authors: Kang-Auger Sarit , Lewin Antoine , Ayoub Aimina , Bilodeau-Bertrand Marianne , Marcoux Sophie , Auger Nathalie
Published: September 2023

BACKGROUND

COVID-19 had a considerable impact on mortality, but its effect on behaviors associated with social media remains unclear. As travel decreased due to lockdowns during the pandemic, selfie-related mortality may have decreased, as fewer individuals were taking smartphone photographs in risky locations.

OBJECTIVE

In this study, we examined the effect of the COVID-19 pandemic on trends in selfie-related mortality.

METHODS

We identified fatal selfie-related injuries reported in web-based news reports worldwide between March 2014 and April 2021, including the deaths of individuals attempting a selfie photograph or anyone else present during the incident. The main outcome measure was the total number of selfie-related deaths per month. We used interrupted time series regression to estimate the monthly change in the number of selfie-related deaths over time, comparing the period before the pandemic (March 2014 to February 2020) with the period during the pandemic (March 2020 to April 2021).

RESULTS

The study included a total of 332 selfie-related deaths occurring between March 2014 and April 2021, with 18 (5.4%) deaths during the pandemic. Most selfie-related deaths occurred in India (n=153, 46.1%) and involved men (n=221, 66.6%) and young individuals (n=296, 89.2%). During the pandemic, two-thirds of selfie-related deaths were due to falls, whereas a greater proportion of selfie-related deaths before the pandemic were due to drowning. Based on interrupted time series regression, there was an average of 1.3 selfie-related deaths per month during the pandemic, compared with 4.3 deaths per month before the pandemic. The number of selfie-related deaths decreased by 2.6 in the first month of the pandemic alone and continued to decrease thereafter.

CONCLUSIONS

Our findings indicate that the COVID-19 pandemic led to a marked decrease in selfie-related mortality, suggesting that lockdowns and travel restrictions likely prevented hazardous selfie-taking. The decrease in selfie-related mortality occurred despite a potential increase in social media use during the pandemic.
COVID-19–Related Social Isolation, Self-Control, and Internet Gaming Disorder Among Chinese University Students: Cross-Sectional Survey (Preprint)
Authors: Guo Yufang , Yue Fangyan , Lu Xiangyu , Sun Fengye , Pan Meixing , Jia Yannan
Published: September 2023

BACKGROUND

Internet gaming disorder among university students has become a great concern for university counsellors worldwide since the COVID-19 pandemic. The factors influencing the development of internet gaming disorder in students during the COVID-19 pandemic could be different from those before the pandemic.

OBJECTIVE

This study aims to explore the associations among social isolation, self-control, and internet gaming disorder in Chinese university students and to examine whether self-control mediates the positive effects of social isolation on internet gaming disorder.

METHODS

A cross-sectional survey was employed to collect data from university students in Shandong province of China from April to September 2022. The Isolation subscale of the Self-Compassion Scale, Self-Control Scale, and Internet Gaming Disorder Scale were used to assess the social isolation, self-control, and internet gaming disorder among university students, respectively. Models 4 and 5 of PROCESS software were used to analyze the mediating role of self-control and the moderating role of gender on the association between social isolation and internet gaming disorder.

RESULTS

A total of 479 students were recruited from 6 universities located in 3 different regions of Shandong, China. Students had low levels of internet gaming disorder and moderate levels of social isolation and self-control, with mean scores of 8.94 (SD 9.06), 12.04 (SD 3.53), and 57.15 (SD 8.44), respectively. Social isolation was positively correlated with internet gaming disorder (r=0.217; P<.001), and self-control was negatively correlated with social isolation (r=–0.355; P<.001) and internet gaming disorder (r=–0.260; P<.001). Self-control played a mediating role in the association between social isolation and internet gaming disorder (β=–.185, 95% CI –.295 to –.087). The effects of social isolation on internet gaming disorder among female students were lower than those among male students.

CONCLUSIONS

Self-control was a mediator in the association between social isolation and internet gaming disorder. Moreover, gender played a moderating role in the association between social isolation and internet gaming disorder. This study highlights the need to alleviate the development of internet gaming disorder among students during a pandemic, especially that of male students. Effective interventions that lessen social isolation and promote self-control should be developed.
Visual “Scrollytelling”: Mapping Aquatic Selfie-Related Incidents in Australia (Preprint)
Authors: Cornell Samuel , Peden Amy E
Published: September 2023

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The Development of Ungauged-Catchment Integrated-Similarity Unit Hydrograph to Estimate Inflow of Wonogiri Reservoir
Authors: Santoso Kurniawan Putra , Istiarto  , Jayadi Rachmad
Published: September 2023

The Wonogiri Reservoir is a multipurpose reservoir at the Upper Bengawan Solo Watershed, primarily designed to serve as a flood control system. However, there is no accurate estimation of the inflow into the reservoir due to the limited availability of hydrological stations. Observations showed only four out of ten unit hydrographs of the Wonogiri Reservoir watershed. Therefore, this study was conducted to apply an integrated similarity-based approach for designing unit hydrographs in ungauged catchments. The process involved evaluating the integrated similarity between pairs of gauged-ungauged catchments using hydrologic and physical property parameters. This led to the selection of the donor or gauged catchment with the highest similarity score to develop the unit hydrograph for the ungauged catchments. The developed UHs were further applied to estimate the reservoir inflow for the December 25, 2007, flood event. The results showed that the computed peak discharge was 10.9% lower than a previous study. Subsequently, the HEC-HMS simulation model was used to project the updated design flood hydrographs to the reservoir. The design rainfall was derived from automatic rainfall recorder (ARR) and PERSIANN satellite-based data. The ARR data showed that the extreme rainfall duration was 5 hours while satellite data indicated 6 hours. The application of the ARR 5-hour duration to the updated flood hydrographs led to a peak discharge of 5123 m3 s-1, 7041 m3 s-1, and 10,370 m3 s-1 for the 60-year, 500-year, and PMF floods respectively in line with the flood design criteria of Wonogiri Reservoir. These estimates were observed to be significantly higher than the 1982 design floods which were 4000 m3 s-1, 5100 m3 s-1, and 9600 m3 s-1 respectively. This updated flood control design was important to renew the operation rule of the Wonogiri reservoir during flood periods.
Incentives and Barriers to Green Building Implementation: The Case of Jakarta
Authors: Prasetyawan Sigid , Machfudiyanto Rossy Armyn , Rachmawati Titi Sari Nurul
Published: September 2023

The low implementation of green building through building certification in Jakarta is responsible for the decreased achievement of reducing greenhouse gas emissions in 2020. This is observed in the energy sector through the efficient use of power in commercial buildings, which is only 37,789 tons (0.72 %) of the 5.26 million tons of CO2e expected in 2030, potentially causing the effects of a climate change-related disaster. In this case, the low prevalence of green buildings is due to the barriers preventing their implementation, with the provision of incentives being a suitable solution regarding its significant influence on rapid development. Therefore, this study aims to determine the influential relationship between barriers, incentives, and the level of green building implementation, to identify the most effective applicable benefits in Jakarta. In this context, path analysis and structural equation modeling (SEM) was used with 101 participants selected from developer/owner institutions, consultants, contractors, and the government experienced in implementing the experimental data of the buildings. These data were subsequently analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that cost-risk and knowledge-information barrier significantly impacted the level of green building implementation in Jakarta. This led to the recommendation of non-financial incentives as an effective regional benefit, which relevantly affected the level of green building implementation, as well as cost-risk and knowledge-information barriers. These results were expected to assist policymakers and practitioners in formulating effective incentive policies for the implementation of green buildings in Jakarta.
Research Progress of Drinking Water and Trace Elements in KBD Area
Authors: Huang Tianjiao , Kou Jiushe
Published: September 2023

Kaschin-beck disease (KBD) is an endemic, chronic, and deformable osteochondral disease characterized by multiple degenerations and deep cell necrosis of epiphysis, epiphysis, and articular cartilage. The disease mainly affects children and adolescents aged 5-15, is concentrated in northeast and southwest China, involving 15 provinces, and extends into southeastern Siberia and North Korea. Although the etiology and pathogenesis of KBD are still not very clear, in recent years, more breakthroughs have been made in the supplement and update of its biogeochemical theory, especially in the analysis of hydrochemical characteristics and the study of the role of selenium and iodine in the pathogenic factors of KBD. Therefore, the present research results on the environmental geographical factors of Kashin-beck disease are reviewed in this paper.
The Theme of ‘Escape’: Intertextuality and Compositional Contrast in Somerset Maugham’s Selected Short Stories
Authors: Mbon Armel
Published: September 2023

This work analyses the contrast created in William Somerset Maugham’s literary composition, with reference to the theme of ‘Escape’. Escape is, indeed, a recurrent theme in such Maugham’s short stories as ‘The Escape’, ‘Mabel’, ‘A Friend in Need,’ ‘The Taipan’, ‘The Verger’, and others. The analysis thereof unfolds through the scrutiny of two samples of these short stories videlicet ‘The Escape’ and ‘Mabel’. In real life, it happens to us to escape either from a country, a nightmare, a delicate financial situation, a mediocre existence, or else. Likewise, in fiction, Roger Charing and George escape from Ruth Barlow and Mabel, the ladies they are engaged to before the wedding days respectively in ‘The Escape’ and ‘Mabel’. This escape, an interconnection between these stories, is prompted by their sudden falling out of love, which is inexplicable in the narrators’ words, because as Blaise Pascal thinks, the heart has reasons that reason itself knows nothing about. Apart from this common denominator, the two stories contrast sharply at different levels of their components as setting, characters... To investigate this contrast, owing to the economy and simplicity of the storytelling that characterise a short story, these stories require close scrutiny and textual approach.
Neural Network Approach to Ranking Factors Affecting Energy Efficiency of Oil Production
Authors: Tsyplenkov S. V. , Agafonov E. D. , Tsyplenkova D. I.
Published: September 2023

The article describes the relevance of the topic, considers the features of approaches to factor analysis of the energy efficiency of the artificial oil lift. Comparative analysis of the approaches used in assessing the current and projected level of energy efficiency in relation to the planned values is carried out. An approach to the ranking of energy efficiency factors based on intelligent methods is proposed. An assessment of the modern possibilities of automating the factor analysis of the energy efficiency of artificial oil lift is given. To develop an effective methodology for the analysis and planning of energy efficiency based on a relevant factor model, an approach to ranking the factors influencing the energy efficiency of artificial lift using an artificial neural network is proposed. When solving the problem, the method of factor analysis of specific power consumption, the L-BFGS algorithm. Various sets of factors are considered, they were ranked according to the shares of significance, the procedure for excluding factors were carried out on the basis of paired correlation dependences between them. A correlation matrix is built for the adjusted set of factors. On the basis of an expert analysis of the results obtained, their relevance to the cause-and-effect relationships manifested in the practice of operating a mechanized well stock was assessed. The use of the proposed approach to factor analysis using an artificial neural network will improve the reliability of control over the energy efficiency of artificial oil lift. The developed model can be included in the algorithmic and software and hardware support of a promising automated energy efficiency control system and can be used in decision-making by specialists who plan, monitor and predict energy efficiency indicators and assess the results of the implementation of energy-saving measures.
Combined Estimation of the Mutual Position of the Master and Slave Vehicle by Ultrasonic Receivers and Gnss-Module Data
Authors: Goll S. A. , Zakharova E. A.
Published: September 2023

The problem of determining the position of master vehicle when implementing a scenario of robotic vehicle as a part of caravanning driving system is studied. The mentioned scenario is expected the slave vehicle to replicate the motion trajectory of master vehicle represented by human operated vehicle, by another robotic vehicle or by human operator. To provide reliable operation of robotic vehicle within autonomous convoy a reliable and precise assessment of master vehicle position and trajectory regardless of environment is required. Implementation of ultrasonic receivers and emitters within information and measurement complex to determine master-slave vehicle mutual position allows to function at any time of the day inside and outside the premises in the presence of dynamic obstacles, smoke, precipitation, etc. Estimation of position and trajectory of master vehicle is accomplished by means of measuring arrival time of ultrasonic wave emitted by active beacon prior to spatial array of ultrasonic receivers. Similar indirect distance measurement between bacon and each receiver allowed to receive a system of equations to be solved by implementation of Kalman filter with Raugh - Tung - Striebel smoother. Major disadvantage of the approach is 20-meter range, which is enough for complex maneuvering. To increase the range of the complex operation, a combined estimation of the master's position based on measuring data of the spatial array of ultrasonic receivers and the module of global navigation satellite system is proposed.
Fuzzy Model for Decision Support under Uncertainty Based on the «Fztotriangle» Transformation
Authors: Chernov V. G.
Published: September 2023

One of the problems of operations research is the problem of choosing the best solution from the set of possible solutions in conditions of uncertainty, when there is no reliable data about the situation requiring a decision. Classical methods of mathematical modeling are focused on point, numerical estimates that characterize the results of possible choice. Moreover, in a situation of significant uncertainty, these methods do not provide unambiguous and mathematically rigorous recommendations for the choice of a solution method. One of the options to overcome these limitations is the use of the apparatus of the theory of fuzzy sets. We propose the method of finding the best solution on the set of fuzzy elements of the evaluation matrix, when the uncertainties of initial data are represented by fuzzy sets (numbers) with different functions of affiliation, which allows you to represent different levels of incomplete information about the situation requiring a decision. The choice of the best decision in conditions when the assessment of possible consequences is represented in the form of fuzzy sets is based on the application to these assessments of FztoTriangle transformation, which allows to obtain integral values for the results of possible decisions on the whole set of conditions characterizing the situation under study, in the form of an equivalent fuzzy set with a triangular identity function. This simplifies the comparison of fuzzy sets representing possible solutions. Performing such transformations does not impose restrictions on the type of affiliation functions of the evaluations used. The final result will be estimates of the consequences of the chosen solution, as well as the possibility of its implementation. The proposed method does not require complex mathematical transformations and can be easily implemented in software as a component of decision support system.
Methodology of Low-Level Analysis of Glycol Content in Industrial Wastewater Using Gas Chromatography
Authors: Svalova M. V. , Mikryukova E. M. , Danilova E. V.
Published: September 2023

The paper considers a low-level analysis of the glycol content in industrial wastewater using a split injection. The investigation method of mass concentrations of ethylene glycol in wastewater samples HDPE F 14.1:2.250-08 'Method of measuring mass concentrations of ethylene glycol and diethylene glycol in natural and wastewater samples by gas chromatography', based on chromatographic separation of sample components. The analysis of ethylene glycol content in airport wastewater is very important due to its high toxicity (waste of anti-icing fluid based on ethylene glycol of hazard class 3 waste). Achievement consistent results for low-level analysis of glycols in water samples is difficult with splitless injection primarily due to backfire problems, poor peak shape, and varying retention times. The split injection method discussed in this article avoids these problems and gives good and reliable chromatographic results. Most antifreezes used today are based on ethylene glycol, but propylene glycol-based products are becoming more common. Both have high boiling points, low vapor pressure, excellent heat transfer capabilities, and the ability to lower the freezing point of water, but ethylene glycol is a slightly more effective freezing point depressant. It is necessary to check the contamination of the waste stream in areas where antifreeze is stored or used refrigerant is disposed of, since ethylene glycol is classified as a hazard class 3 substance. Increased glycol levels in rivers can cause an increase in biological oxygen demand (BOD). In severe cases of infection, aquatic organisms can die as a result of oxygen starvation, rather than direct poisoning. Many environmental problems, such as negative effects on aquatic life, destruction of aquatic ecosystems, soil pollution, decreased oxygen levels in water absorption through skin contact, brain damage, damage to the central nervous system and joints, eye damage, toxicity, have been associated with the content of ethyleneglycolin waste water.
The Dynamic Analysis of Optimizing Function Within the Limits of Vibration Rotor Systems of Wind Electric Installation
Authors: Buyalsky V. I.
Published: September 2023

The problem of construction of basic and optimizing function within the limits of dynamic analysis of rotor systems wind-power installation vibrating fields, as one of subtasks of the mathematical algorithms of system dynamic behavior to modify wind-electric installation automatic control is solved that provides reduction of vibrations of all rotor system elements at different modes of operation power-unit of drive loading that promotes improvement of reliability indicators modern wind- installation components. Optimizing function has essential advantage with respeсt to the basic one as a result of minimization of portions with visible and peak vibrations within the frequence range of 190 - 310 rad/sec that is characteristic for negative cases of wind speed increase and reduction of electric power under different operation modes of wind-power installation. Measurement of vibration signal levels with obviously expressed peaks for the whole frequency range irrespectable to amplitude level is made, and calculation of longitudinal, bending and torsion fluctuations of own frequencies rotor-systems is executed. The dynamic analysis of frequency interactions of structural elements and power interactions of blade-elements on the basis of calculated data of dynamic factor for basic function vibrating portion at frequency 310 rad/sec with maximum vibration amplitude was carried out. The mimimum dynamic force transmitted makes 20.1 % from the total and it acts on longitudinal fluctuations of the rotor-system «wind wheel-control gear wheel», 100 % of maximum transferred dynamic force corresponds the second rotational frequency of 314 rad/sec which is resonant. The specified phenomena are not shown in the optimizing model as a result of vibrating portion absence for the investigated own frequencies and rotational fluctuations.
Modelling and Analysis of Piezoelectric Energy Storage System Operation by Means of Software Environment Matlab/Simulink
Authors: Al-Rufai F. M. , Yakimovich B. A. , Kuvshinov V. V. , Al-Saidi A. A. , Bordan D. F.
Published: September 2023

The interest among researches to electric energy production from vibration energy transformation has been increased recently due to the need of connection of special electronic equipment to the energy source, such as remote sensing system, enabling maintenance and battery change at specified time cost reduction. High energy thickness and sure vibration characteristics of piezoelectric materials increased the application area where low power is required. Energy collection from piezoids is a technology that transforms available environment energy into electric one. Vibration energy collection is preferred since various amplitude and frequency vibrations are available in environment. Vibration energy collectors of piezoelectrical type are widely used due to their simplicity of operation and compatibility with small electromechanical system production technology. A software Matlab / Simulink was used for modelling and analysis of piezoelectric system operation for the present research. The program allowed to develop a model of piezoelectric system. The results of modelling showed the possibility of application of such systems for the required energy production in low-power equipment. This is especially important that these piezoelectrical technologies can be applied for electric energy supply of off-grid individual consumers in the remote districts of the Russian Federation. It is possible since technologies are suitable for application during battery charge, which is especially important for individual household and private houses in various districts of our country.
Reliability Parameter Evaluation of Wind Turbine Based on Minimization of Dynamc Loads Acting on Power Plant Structural Components
Authors: Buyalsky V. I.
Published: September 2023

An evaluation method of minimization of dynamic loads of big wind wheels with horizontal axis of rotation by replacing a steel lattice tower with a concrete tube was considered as the basic approach to obtain the calculated data of wind power plant reliability evaluation parameters based on dynamic loads minimization acting on power plant structural components. A certain degree of dynamic load minimization acting on vanes based on duly system preparation for external disturbances due to prediction of wind speed and power of electric energy input resulted in load minimization per a vane by 20 %. The problem of parameter reliability evaluation of wind power plant based on minimization of dynamic loads acting on power plant vanes under the condition of duly system preparation for external disturbances was solved enabling increasing of run-to-failure mean time by 8 %. Evaluation analysis of dynamic load minimization acting on power plant structural elements based on optimization model that accounts drive loading conditions at various operation conditions of wind electrical power plant was performed, as the result of rotor system load (“wind wheel - the driving gear”, “gear - generator”) decrease constitutes 20 %. The problem of reliability evaluation parameters of wind electric power plant based on dynamic load minimization acting on power plant structural elements was solved by implementing optimization model of drive loading conditions at various operational conditions of wind electric power plant increasing the rotor system (“wind wheel - driving gear”; “gear - generator”) run-to-failure mean time by 18 %. It was found that the proposed methods of efficiency improvement of wind power plant control enable to increase the operation lifecycle of wind power plant by 26 %.
Texture Componets Scattering Parameter Selection for Polycrystalline Materials when Clustering Rodrigues Space
Authors: Mokrova S. M. , Milich V. N.
Published: September 2023

The article considers the problem of maximum scattering cluster value selection at texture components formation within Rodrigues space for texture analysis representation. Texture analysis is carried out in terms of direct pole figure. Orientation cloud is being formed within Rodrigues space by calculating Rodrigues vectors for each found orientation. Texture components describing the texture are being formed by maximin algorithm clustering. The algorithm is considered finished when a predetermined value of maximum scattering in a cluster is reached. In this case, maximum scattering in clusters will be determined automatically. The algorithm enables texture presentation with required detail level corresponding to the posed problem. Implementation of Rodrigues space to form texture components enables texture analysis results visualization. The article gives principal expressions for Rodrigues-vector operations. The calculation of mean Rodrigues vector in a cluster is shown. The algorithm that allows comparison of texture analysis results obtained by two pole figures, taken for one sample. Comparison is carried out by calculation of distances between mean Rodrigues vectors of two pole figure clusters for different scattering parameter values. Texture representation is chosen as the best correspondence of texture components obtained by two pole figures. An example of aluminum tape texture analysis is presented. It is shown that formation of eight texture components with maximum cluster scattering 11.3° by pole figure of family {111} and of six texture components with maximum cluster scattering 10.15° by pole figure {200} their correspondence is 85 %.
Development of Parallel Algorithms for Probabilistic Models Learning for Web Application Testing
Authors: Polukhin P. V.
Published: September 2023

In the current conditions of testing methods and algorithms development to combine individual test components in the form of a hierarchical model reflecting the connections and states between these components, as well as allowing to evaluate the probability of a transition between model states in the event of information about the successful implementation of a certain test to detect a program error is of particular importance. Existing approaches do not allow optimal adjustment of model parameters, as well as qualitative calculation and establishment of directions of connections between individual components of this model. The scientific study considered the possibility of using effective numerical methods to solve the problem of training probabilistic models built on the basis of Bayesian networks to solve the main problems of testing web applications. The main approaches to create parallel algorithms implementing the main functional capabilities underlying the implementation of the procedure for training test models are considered. Analysis of the developed training algorithms effectiveness for testing certain groups of program errors allowing the most optimal parameters of the DBS model was made, as well as a justification for their use in distributed data processing systems. We have developed algorithmic solutions for Jacobi and Hesse matrices calculation optimization based on Cannon and Fox algorithms. The process of testing errors of web application is simulated and presented in the form of a dynamic Bayesian network obtained from the results of the structure and parameters learning procedure. The validity of all theoretical results is confirmed by a large number of experimental results proving the validity of the put forward assumptions, testing methods and models presented in the form of dynamic Bayesian networks.
Wind-Electric Installation Control Based on Vibration Drive Loading under Various Energy Unit Operation Conditions
Authors: Buyalsky V. I.
Published: September 2023

Necessity of mathematical model description of the electric power production considering not only wind loading, but also drive loading under different modes of energy-unit operation by computerized control, promoting improvement of reliability indicators of modern wind-generators components, is proved. The problem, specifications of mathematical relation between generator rotor angular speed and wind speed, blade position angle and power consumption that provides the required range of wind speed within 5-20 m/s is solved, blade position angle variation within 0 - 2% under generator rotor winding current variation not exceeding allowable error (2%) and taking account parameters affecting asynchronous generator voltage stability: induction resistance, reduced induction resistance; stator winding phase resistance, reduced stator winding phase resistance, was solved. Research Necessity of wind-electrics unit control by non-stationary operating modes under the conditions of change of measurement height of wind speed that can lead to distortion of output control results caused by the big error of measured meteorological values and consequently, negative effect on energy-unit vibrating loading, is proved. The analysis of researches made, concerning change of wind speed measurement height for wind-turbine USW56-100 has shown, that wind speed measured at 10 m height, below energy-unit by 14 m is 1m/s smaller than the actual wind speed that may icrease the error between actual and nominal angular speed of rotor wind-turbine from 3% to 17% that exceeds limits of an admissible error (2%), and generates vibrating loading of energy-unit drive and consequently, demands control, wind speed measurement height alteration by means of exponential law of a profile.
Factor Models of Proportional-Integral Controller Optimum Factors Based on Simulation Modelling of Hybrid Stepper Vector Control System
Authors: Sannikov P. A. , Lekomtsev P. V.
Published: September 2023

The article presents simulation modeling of the closed loop field-oriented control system of hybrid stepper. The bandwidth of the current loop was 1370 Hz, speed loop - 350 Hz. Using optimizer for determining regulator terms significantly improved the performance compared to classical methods. The focus of optimization was the settling time, value of overshooting on step response and steady-state error. The factor models of optimal proportional-integral gains for hybrid stepper 34HS5435C-02B2 are designed using regression analysis at different load torques and total inertia. Analyses of the obtained dependencies showed that the proportional gain (KP) is most affected by the load torque (TL), while the integral gain (KI) by the inertia (J). The largest value of KP = 3,049 is found with TL = 10 Nm, J = 15Jm, the smallest value of KP = 0.03 for TL = 0 Nm, J = Jm, while the highest value KI = 1,036 is found with TL = 10 Nm, J = 7.5 Jm, the smallest value of KI =0.12 for TL = 0 Nm, J = Jm (where Jm is rotor inertia). This model can be used in adaptive control systems that meet the requirements of rapid and precision operations.
Effect of additional types of different probiotics on feed on the consumption rate, feed conversion ratio, protein, and fat retention Cyprinus carpio
Authors: Linda Puspitasari  , Satyantini Woro Hastuti , Fasya Arif Habib
Published: September 2023

Cyprinus carpio is a freshwater fish that is in great demand by the public because of several advantages, including its high protein content and affordable price. Carp (C. carpio) cultivation requires artificial feed as nutrients to support its growth. One aspect of stunted growth is low feed utilization, this is related to feed protein digestibility that is not optimal. One way to increase the digestibility of feed is by adding probiotics. The purpose of this study was to examine the addition of probiotics to artificial feed on the level of feed consumption, the value of the feed conversion ratio, the retention of protein in meat and retention of fat in the fish of Cyprinus carpio.

This research was conducted in May-June 2022 at the Laboratory of the School of Health and Natural Sciences. The results found that the addition of different types of probiotics to the feed can affect the level of consumption, feed conversion ratio, protein retention and fat retention of Cyprinus carpio fish. This study used an experimental method with a completely randomized design with 5 treatments and 4 replications. Observations on each treatment showed different results. The results showed that probiotics had an effect (p<0.05) on TKP, RKP, RP, and RL. The best use of probiotics is found in P4 with the content of probiotic bacteria, namely Lactobacillus sp. Acetobacter sp. and yeast. The results obtained in the P4 treatment with a total value of 105.93 grams of feed consumption, 1.40 feed conversion ratio value, 65.68% meat protein retention value, and 187.59% meat fat retention value
Quality of traditional salt in the Tiberias Group, West Oesapa Village, Kelapa Lima District, Kupang City.
Authors: Dawa Umbu Paru Lowu , Lakapu Mada Maria , Gadi Dewi Setyowati , Teffu Yunialdi H. , Bessie Donny M. , Naliama Santo P.A. , Seran Yanuarinda Seuk , Anakaka Dewanto Umbu S.
Published: September 2023

The purpose of this study was to analyze the quality of traditional salt through organoleptic tests (color and aroma), water content, NaCl content and total plate number (TPN). This research uses quality and quantity methods, data analysis method is a comparative descriptive method. The results showed that the quality of the salt produced traditionally through organopleptic tests had a color and aroma were acceptable NSI 4435-2017, the water control has met NSI 3556-2016 and NSI 4435-2017, while the NaCl content did not meet NSI 3556-2016, but it complied with NSI. 4435-2017 and the Total Plate Number (TPN) in coarse salt 2.7 × 102– 3.6 × 102 colony/g, well water 1.3 × 103– 1.8 × 103colonies/ml, filtering solution 1.9 × 103– 2.3 × 103 colonies/ml, filtered solution 1.6 × 103– 1.8 × 103colonies/ml. Meanwhile, the cooked salt was < 2.5 × 101colony/g (<25 colonies).
An Autobiogrphical Narrative Inquiry on Woman's Experience of Post-Traumatic Disability
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jeon Young A
Published: September 2023

Objectives The purpose of this study is to understand meaning of my own experience by exploring the experiences of post-traumatic disability experienced in adulthood with autobiographical narrative inquiry.
Methods Research puzzle was built what life story do I form when it comes to experiencing post-traumatic disability. Based on data such as my own memories, diaries and memos, I reconstructed the narrative in consideration of the three-dimensional narrative exploration space, “Temporality, Sociality, and Place”. The meaning of the experience was derived according to the narrative exploration procedure of Clandinin and Connelly(2000).
Results As a result of the study, First, the story of living as a relational being was reconstructed into six narratives: “A body trapped in a body, a voice that came in an urgent moment, choosing to be a mother rather than a daughter, numerous Samaritans who constantly became my neighbor, reaching out with new invitations, and a family who was with me through a long tunnel.” Second, the story of living in relation to the body was reconstructed into four narratives: “A broken jar, I am not disabled, a flawed pottery is beautiful, and I wake up to the fountain of life, not a jar.” The meaning of the experience is revealed through the exploration of the story lived after the disability in adulthood. First, “the scales are peeled off in my eyes and I see them right away,” second, “invitation to connect to my neighbors and the world beyond me,” and third, “a journey to accept self-acceptance and life as a whole.”
Conclusions Through this autobiographical narrative inquairy, I hope that the understanding of the experience of living with disability in adulthood and damaged bodies will extend beyond the understanding of individual humans to the understanding of the lives of the disability in adulthood. And I made a suggestion based on the research results.
A study on children's media use: focusing on the ability to control media use and parents' media education effect
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Song Wonsook
Published: September 2023

Objectives The purposes of this study were to examine the effects of parent’s media education experience on children’s media use and the variables that affect children’s ability to control media use.
Methods For this purpose, data from the <2020 Children's Media Usage Survey> of the Korea Press Foundation, which conducted a survey on 2161 parents aged 3 to 9 years in August 2020, was used. To solve the research questions, Reliability analysis, T-test, and hierarchical regression analysis were used.
Results Children of parents who received media education tended to use digital media such as computer, smartphone, and tablet PC, and various platforms and services such as portals, messengers, SNS, and games more often. On the other hand, children of parents without media education used television and online video platforms more often. Parents who received media education tended to be more actively involved in their children's media use process and positively evaluated the media's influence. Parents' media use restriction and control, parents' media use guidance, and children's media education experience were identified as predictive variables that had a positive effect on increasing children's media control ability.
Conclusions It was empirically verified that parents' media education experiences had various effects on children's media use. In addition, in order to increase children's ability to actively use media, it was effective for parents to limit, control, and guide children's media use at home, and to educate children to use media properly. These results are significant in that they have presented a solution to help children develop the ability to appropriately control their media use in the era of multi-media digital media.
The Effect of Metacognition and Positive Psychological Capital on Academic Achievement of Nursing students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim JuYeun
Published: September 2023

Objectives This study is to identify the relationship between metacognition, positive psychological capital, and academic achievement for nursing students, and to confirm the effect of metacognition and positive psychological capital on academic achievement, which can strengthen the learning competency of nursing students.
Methods Data were collected from 228 nursing students using a structured online questionnaire for about 2 weeks from February 1 to February 15, 2023. The collected data were analyzed by performing descriptive statistics, t-test, ANOVA, Pearson's coefficient and hierarchical regression analysis.
Results Metacognition was positively correlated with positive psychological capital(r=.52, p<.001) and academic achievement(r= .36, p<.001), and showed a statistically significant difference, but positive psychological capital and academic achievement did not show a statistically significant difference(r=.03, p=.062). The results of a hierarchical regression analysis to identify the factors influencing the academic achievement of nursing students showed that both metacognition (t=6.41, p<.001) and positive psychological capital(t=-2.80, p=.006) had a significant effect on academic achievement. The higher the metacognition(β=.44), the higher the academic achievement, whereas the higher the positive psychological capital(β=-.19), the lower the academic achievement.
Conclusions To improve the learning competency of nursing students, various strategies that can promote metacognition should be prepared and research on the effect should be conducted, and follow-up research should be conducted to identify various factors influencing the relationship between positive psychological capital and academic achievement.