bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technology Acceptance Model and Motivation-Opportunity-Ability Theory Influences on Indonesian Dota2 Gamer Customer to Customer Online Know-How Exchange
Authors: Utami Nugrahani Rah , Abdul Wahid Nabsiah 
Published: February 2021

Abstract
This study conceptualizes the influences of technology acceptance model (TAM) and motivation-opportunity-ability (MOA) theory on customer to customer online gamer knowhow. Although both TAM and MOA are well acknowledged and popularly applied in the literature, implementing both theories using the Indonesian online gamers scenario like Dota2 has not been carried out. This study reviews on the suitability of the theories to be extended into the virtual realm of Dota2. To achieve an understanding on this possibility is significant as the world is changing due to globalization and advancement of technology. This review has established the foundations of MOA theory in Multiplayer Online Battle Arena (MOBA) game environments. This indicates the possibility for the influences of perceived usefulness and perceived ease of use, motivation, opportunity and ability to be investigated on customer to customer online know how. The theoretical framework developed that explains the causal relationship among variables is based on the situational prime of Dota2. It is expected that future video game development based on this study’s framework can aid in the improvement of its players know-how.
K-Mean Clustering Algorithm in Grouping Prospective Scholarship Recipients
Authors: Nur Khomarudin Agus , Zakir Supratman , Novita Rina , Endrawati  , Zahiri bin Awang Mat Mohd , Maiyana Efmi 
Published: February 2021

Abstract
The accumulation files of scholarship recipient candidates currently become a problem in the selection process. Essentially, the accumulated data can be process to produced useful knowledge by utilizing data mining techniques. One of the data mining techniques is clustering that used as a method in this research. The purpose of this research is to generate new knowledge from accumulated data that can be used, one of example is in selecting prospective scholarship recipients. The research method used is the ADDIE version of Research and Development (RnD) (Analyze, Design, Develop, Implement, Evaluate). In generating new knowledge from a data warehouse, the K-Means Clustering Algorithm is used as a method of partitioning data into one or more clusters. The results indicates that the products produced were valid, practical, and effective to be used as a system in grouping prospective scholarship recipient data with the respective values of validity, practicality, and effectiveness were 0.94, 0.91, and 0.93.
Online-Based Academic Supervision during the Covid-19 Pandemic
Authors: Fendi Hasri , Hanafi Imam , Ayu Monia Fenny , Sudarman  , Aries Taufiq M. , Eka Putri Rahmi 
Published: February 2021

Abstract
The purpose of this study was to identify and to obtain information related to the problems in the academic supervision process encountered by the school principals during the Covid-19 pandemic. This study utilized a case study method to obtain data on the constraints and consequences of the Covid-19 pandemic on academic supervision activities at Senior High School (SMA N) in Bangkinang. Data were obtained through questions filled in Google form. The respondents in this study were 4 senior high school principals in Bangkinang. The results of this study were that during the Covid-19 pandemic, supervision was conducted online based on various types of online tools such as Google Meet, Zoom, Google duo and WhatsApp. However, the principals experienced several obstacles in conducting online-based academic supervision due to the absence of standard applications provided by the government to facilitate the process of supervision. Also many teachers did not master the use of information technology (IT).
Digital Based Education Through Econophysical Modeling
Authors: Izmuddin Iiz , Harahap Pandapotan , Awaluddin  , Syafitri Widya , Imamuddin M. 
Published: February 2021

Abstract
The purpose of this article is to describe the integration model of social and physical science into digital-based learning. Indonesia’s education system currently uses digital technology in the education process so that the absorption and teaching methods will be more easily understood. The use of Econophysical modeling in digital learning can be developed in the form of recording all transaction networks carried out by consumers using physics modeling in applied physics usage. Then every track record of transactions with physics modeling will be linked to Hardware, Software, and Contents Development. So that the data process will be formed very quickly from every existing transaction. Then all existing data will be collected in big data analysis which then becomes digital-based econophysical modeling. Its application in education by teachers and lecturers is administratively contained in the lesson plan and syllabus while in the learning process linked with Hardware, Software, Contents Development for the formation of modeling in learning econophysical courses.
Animation-based Learning Effectiveness in Physics Learning
Authors: Rahman Aththibby Arif , Mundilarto  , Widodo  
Published: February 2021

Abstract
21st century education requires teachers who can adapt to technological developments, including for physics teachers. Physics as one of the branches of science, studying and analyzing quantitatively the symptoms or natural processes. Physics is a science that studies the parts of nature and the interactions within them. The problem that is always experienced by students is the low learning outcomes caused by the lack of motivation in learning physics. Computer animation can be a solution offered to present effective learning in physics learning. Based on the results of the study it is known that the use of computer animation has a significant effect on the learning outcomes of physics and also the motivation of students in learning physics.
Learning Puzzle Model Contribution to Improve Math Subjects Learning Outcomes
Authors: Anam Fatkul , Hasanah Rofidatul , Firdaus Mega , Purnomo Agung , Noviyanti Masyitah 
Published: February 2021

Abstract
The study focuses to exceed student learning outcomes in mathematics subjects on polygon material using puzzle learning models in the fourth grade of Gebang Elementary School 1 Sidoarjo, Indonesia. The study employs Class Room Action research method and learning puzzles as model with a Kurt Lewin approach through a single cycle and consisted of four main steps for each cycle: planning, action, observation and reflection. Data is gathered with observations and tests. The results revealed that the implementation of the puzzle learning model on mathematics subject on polygon material can improve the students’ score up to 86% in the fourth grade of Gebang Elementary School 1 Sidoarjo, Indonesia and can aid the achievement criteria of learning process between students and teachers are categorized as “very good”
Blended Learning Approach in Arabic Learning
Authors: Rozi Fathor , Rosidah Rosidah , Ni’mah Mamluatun , Masun Hilyatul , Juaeriyah Khasyiffah , Maimuna  
Published: February 2021

Abstract
This study aims to analyze Arabic learning by using a blended learning approach in management perspective. This study uses a qualitative approach with case study, with a research site at the Madrasah Aliyah Lubbul Labib, Maron, Probolinggo, East Java, Indonesia. The results showed that; Arabic learning management is carried out through several stages, namely; planning, which includes learner analysis, state objectives, determination of material, methods, approaches, media and evaluation techniques that will be used in learning activities. Furthermore, the results of the planning are implemented in online learning activities and evaluated according to what has been planned.
Learning Agility During Pandemic; Outstanding Strategy in Language Learning by Using Zoom Application
Authors: Mundiri Akmal , Eka Mahmud Muchammad , Ubaidillah Muhammad , Azizah Nur , Zuhro Lailatus , Hasanah Faiqotul 
Published: February 2021

Abstract
During the pandemic, learning has been disrupted into learning that is not limited by the partition, both class and time barriers. This disruption requires teaching staff, especially language teachers to be agile in playing the role of teaching staff who are adaptive to change. The innovations made are related to how to implement language learning strategies based on virtual learning environments such as the zoom meeting application. The offer of features and simplicity in using the application makes teachers make it a top choice. Therefore, this study aims to uncover outstanding strategies in language learning with a zoom application. This research uses a qualitative approach with case study. This research site is Islamic University, in the area of Tapal Kuda, East Java, Indonesia. The results showed that, outstanding strategies in language learning by using the zoom application were carried out by collect information about student conditions, provide instructions for using the media, modifying the language learning goals, applying self-directed learning, and providing independent learning instructions through the share screen feature.
Application of Google Classroom Applications as Media Thematic Learning in the Pandemic Period
Authors: Aisyah Nur , Rahmatullah  , Sayfullah Hasan , Anggraini  , Kusmiati  , Sa’diya  
Published: February 2021

Abstract
This study aims to determine student understanding of the use of e-learning (Google Classroom) in supporting learning. The research method used is a qualitative method with observational and interview research procedures. The results showed that the understanding of the use of e-learning (Google Classroom) was quite easy to understand and had a positive effect in supporting learning. This shows that the students’ understanding of the use of e-learning-based learning media on learning is already quite maximal, therefore it is necessary to increase the use of these learning media aspects so that e-learning based learning can run better.
Misconception in Linear Equation System: The Case of Students Using Imitative Reasoning
Authors: Nurmawanti I , Darmiany D , Gunawan G , Radiusman R , Haryati L F 
Published: February 2021

Abstract
Imitative reasoning is one of the strategies students used in solving mathematical problems. The imitative reasoning links to the ways in which students using their prior knowledge on solving a similar problem. Those using imitative reasoning, in fact, could only comprehend a problem on its surface level without deeply conceptualise it. The issue leads to errors and misconception in answering linear equation problems. This study aims to analyse students’ misconception when solving linear equation problems, specifically in those using imitative reasoning. This is a qualitative study with 64 students participated in the study. The study reveals that the misconceptions can be found in erroneous calculation, the application of problem solving strategies, the correlation between procedure and concept as well as the solutions of linear equations in intersecting, parallel, and coinciding lines.
Bayesian analysis of turbulent transport coefficients in 2D interchange dominated ExB turbulence involving flow shear
Authors: Coosemans R. , Dekeyser W. , Baelmans M. 
Published: February 2021

AbstractWhile turbulent transport is known to dominate the radial particle and energy transport in the plasma edge, a self-consistent description of turbulent transport in mean-field transport codes remains lacking. Mean-field closure models based on the turbulent kinetic energy (k⊥) and turbulent enstrophy (ζ⊥) have recently been proposed to self-consistently model this transport. This contribution analyses the diffusive particle transport relations of these models by means of the Bayesian framework for parameter estimation and model comparison. The reference data includes a set of isothermal simulations that not only include the scrape-off layer (SOL) but also the outer core region (in which a drift wave-like model is activated) and a set of anisothermal SOL simulations, both obtained with the TOKAM2D turbulence code. This analysis shows that thek⊥(–ζ⊥) model does not appropriately capture the diffusion coefficients for these new data sets, presumably due to the strong flows in the diamagnetic direction that appear in these new cases. While flow shear is expected to quench the turbulence and the turbulent transport, its effect was not explicitly taken into account in the earlierk⊥(–ζ⊥) transport models. As flow shear provides a new mechanism for the decorrelation of the turbulence, we propose to introduce an additional time scale in the diffusive transport relation asD∼k⊥/(ζ⊥+ΩS). Inspiration is drawn from shear decorrelation times reported in literature to propose several new candidate models, which are then analysed in a Bayesian setting. This allowed identifying irrelevant terms for certain models and to rank all models according to the Bayesian evidence. While the new models accounting for shear do improve the match to the data, significant errors still remain. Also, no single model could be identified that performs best for all data sets.
Resonant Axisymmetric Modes
Authors: Porcelli F , Yolbarsop A , Barberis T , Fitzpatrick R 
Published: February 2021

Abstract
Axisymmetric modes in shaped tokamak plasmas are normally associated with vertical displacement events. However, not enough attention has been given to the fact that these modes can be resonant in two different ways. Firstly, for a plasma bounded by a divertor separatrix, a generic n=0 ideal-MHD perturbation, ξ, is singular at the divertor X-point(s), where Beq · ∇ξ = 0, with Beq
the equilibrium magnetic field. As a consequence, n=0 perturbations can give rise to current sheets localized along the divertor separatrix. Secondly, a feedback-stabilized n=0 mode tends to acquire an Alfvénic oscillation frequency. As a result, a resonant interaction with energetic particle orbits can lead to a new type of fast ion instability.
Nonlinear radial envelope evolution equations and energetic particle transport in tokamak plasmas
Authors: Zonca Fulvio , Chen Liu , Falessi Matteo V. , Qiu Zhiyong 
Published: February 2021

Abstract
This work provides a general description of the self-consistent energetic particle phase space transport in burning plasmas, based on nonlinear gyrokinetic theory. The self consistency is ensured by the evolution equations of the Alfvénic fluctuations by means of nonlinear radial envelope evolution equations, while energetic particle fluxes in the phase space are explicitly constructed from long-lived phase space zonal structures, which are undamped by collisionless processes. As a result, this work provides a viable route to computing fluctuation induced energetic particle transport on long time scales in realistic tokamak plasmas.
Decoupling economic and energy growth: aspiration or reality?
Authors: Guo Jin , Li Chuan-Zhong , Wei Chu 
Published: February 2021

Abstract
Energy has long been a driving force of economic growth; however, it comes with environmental costs and security challenges. This study analyzes the energy–economy nexus and explores their decoupling possibilities by using cross-country data over the years 1971–2014. The results indicate that, while energy use and economic growth exhibit a typical inverted U-shaped decoupling relationship for the industrialized countries, they have been rising in tandem for the developing economies. Among factors, it is the economic scale, population size, and energy intensity that are the decisive factors. Among countries, it is the U.S., China, and India, which mainly dominate the global economy–energy trend. Overall, we conclude that any global economy–energy decoupling may confront challenges and uncertainty. To better decouple economic growth from energy use, we propose policies for more structural reforms, a clean energy system, improved energy efficiency, and efficient energy demand-side management.
Changes in the biochemical properties of yeast during oxygen saturation of semi-finished bakery products
Authors: Nazimova E V , Markov A S , Sergeeva I Yu , Romanov A S 
Published: February 2021

Abstract
Microbiological and biochemical processes caused by yeast are the main factors affecting the quality of bread. The ability to manage the vital activity of yeast allows you to regulate these processes and contribute to the intensification of technological processes in baking. An important factor that affects the activity of yeast is oxygen. In bread-making technology, oxygen is mainly considered as a factor that affects oxidative processes. The effect of aeration of bakery semi-finished products on the properties of yeast has not been studied enough. In this work, we studied the enzymatic activity (zimase, maltase), morphological characteristics, viability and quantity of water-soluble sulfhydryl compounds released by yeast when the yeast suspension and liquid sourdough were saturated with oxygen in the range of 4-16 mg / l. The lifting force of yeast when the suspension was saturated with oxygen improved by 23 %. Similarly, the lifting force of liquid sourdough changed when it was saturated with oxygen. Increasing the oxygen content 3 times increased the lift of the liquid sponge by 20 %. It was found that the accumulation of total sulfhydryl compounds in the control was more intense than that in semi-finished products saturated with oxygen. In general, the oxygen content in the yeast suspension and in the liquid sponge significantly activates the vital activity of yeast and, accordingly, intensifies the process of their preparation.
Scientific justification for the composition and technology of a phospholipid-plant food complex
Authors: Popov V G , Mozzherina I V , Shkolnikova M N 
Published: February 2021

Abstract
One of the promising and effective ways to make food products functional today is to use complex functional food ingredients (FFI), in particular, a phospholipid-plant food complex. Scientifically-based selection of ingredients provides balanced in terms of vitamin and mineral composition, capable of providing a corrective effect on the physiological systems of the body. FFI technology has been developed, consisting of fat-free rapeseed phospholipids, dry extracts of germinated seeds of naked oats and Melissa officinalis, succinic acid. The global trend in the food industry is the conversion of biologically active substances into a nanoform the main advantage of which is an increase in their digestibility. Amphiphilic molecules of long-chain phospholipids in an aqueous medium can spontaneously form liposomes that have prospects for use in food technologies as stabilizers of labile biologically active substances. Naked oats are well balanced in the composition of essential amino acids. The maximum number of free amino acids and short-chain peptides was found with a shorter seed germination time (up to 12 hours). The nutrient content of extracts of germinated seeds of naked oats and Melissa officinalis was determined. A range of concentration of ingredients at which antioxidant and immunomodulating properties of the complex are manifested is proposed. It is recommended to include in the daily food ration 40-60 g of a complex, both independently and as a part of foods. The purpose of the complex is to increase the body’s resistance to stress, primarily for people performing prolonged physical exertion in difficult climatic or environmental situations.
Innovative technology to obtain forage flour from keratin-containing waste by extrusion
Authors: Vasilenko V N , Frolova L N , Mikhailova N A , Dragan I V 
Published: February 2021

Abstract
When processing animals and birds in the form of by-products, a fairly large amount of keratin-containing waste (horns, hooves, hair, wool, fluff and feather) was formed. In secondary poultry evisceration products, almost 80% of the protein is found in feather-down raw materials, so solving the problem of converting pen keratin into a digestible form is more important from the point of view of mobilization of native protein reserves and environmental problems. To produce a high-quality feed product, which preserves the biological value of the raw materials as much as possible, it is necessary to minimize the time of heat treatment. At the same time, it is desirable to use cost-effective and environmentally friendly technologies. The latest biological waste recycling techniques that meet these requirements include extrusion technologies. The article proposes the technology of obtaining a forage protein supplement, which can completely replace fish flour in the diet without reducing the zootechnical and feasibility indicators of growing poultry, valuable species of fish and furry animals. The main advantage is that none of the existing technologies in the world without rigorous chemical treatment is not able to bring the digestion of keratin of feather raw materials to 85-90 % in 1.5 minutes of processing with maximum preservation of the most valuable amino acids. We presented the results of the production check on the effectiveness of feeding extruded feed with feed additive from keratin-containing waste for fish, providing a significant increase in body weight growth and improvement of meat.
Ways to reduce the total bacterial contamination of grain raw materials and bran in the production of all-mash
Authors: Lytkina L I , Shentsova E S , Kurchaeva E E , Pereverzeva S A 
Published: February 2021

Abstract
For the most complete satisfaction of human needs in food products and, especially, in products of animal origin, special importance is attached to the accelerated development of animal husbandry, which causes the development and strengthening of the domestic feed base. The main role in providing farm animals with high-grade high-quality feed belongs to the feed industry. Along with the fact that feed must meet all quality standards, they must meet the animal’s veterinary and sanitary standards. The sanitary state of feed is currently very relevant, since the successful development of animal husbandry implies a stable veterinary and sanitary well-being of the external environment for farm animals. The sanitary condition of all-mash depends largely on the microbiological characteristics of the raw material included in the recipe. Microorganisms are a serious cause of reduced quality and spoilage of products. Raw materials (wheat, corn, barley, bran, oats) supplied to feed mills for the production of compound feeds are largely seeded with saprophytic microflora and pathogenic microorganisms. Studies were conducted to determine the total bacterial contamination of wheat, corn, barley, oats and bran used for the production of all-mash, to identify the disinfecting effect of roasting processes, extrusion of raw materials and granulation of all-mash
Aroma profile of muscat wine from Citron Magaracha grapes grown in the Samara region
Authors: Bakharev V V , Feoktistov P A , Malyshkin S S , Paydulova S A , Bykov D E , Pavlova L V 
Published: February 2021

Abstract
Aroma is the one of the important organoleptic characteristics of wine. It determined by the volatile components of the grape berry, the components formed during fermentation and in the aging process. The aroma profile of muscat wine from Citron Magaracha grapes grown in the Samara region was first obtained using the method of liquid-liquid extraction and GC-MS analysis. The main aroma-forming components of the investigated wine are aliphatic and aromatic alcohols, terpene compounds, esters and acetals. Oxidized and esterified compounds are found among terpenes. Ethyl esters of C14-C18 fatty acids are present among the esters. A comparison is made of the main aroma components with profiles of typical representatives of muscat wines. A comparative analysis of the main aromatic components makes it possible to classify Citron Magaracha grapes grown in the Samara region as typical representatives of muscat grapes. Wine from grapes of this variety according to the complex of physicochemical parameters and the aroma profile can reasonably be attributed to muscat wines.