Search results for: Benchmark Problems

Authors: Shatabdi Goon

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OBJECTIVE: To determine the prevalence and associations between breakfast skipping and health status for university professionals in Bangladesh. DESIGN: A cross-sectional descriptive study design was performed using information on respondent’s sociodemographic status and eating behavior. Factors associated with breakfast skipping were identified using multivariate regression models. SETTINGS: Data obtained from a representative sample (n 120) of university professionals randomly selected from two distinct universities in Dhaka city, Bangladesh. SUBJECT: A total number of one hundred and twenty university professionals with a mean age of 29 years. RESULT: Results indicated that approximately 35.8% of the sample skipped breakfast. Gender was the only statistically significant sociodemographic variable, with females skipping at over two times the rate of males (OR 95% CI: 1.9; 0.90-4.13). The reasons given for skipping breakfast were almost exclusively habit (39.5%), work pressure (23.2%) and lack of time (16.2%). Skippers were significantly more likely to be obese (OR 2.4; 95% CI 1.02- 5.7), less energetic (OR 3.5; 95% CI 1.5-8.6), associated with health problems (OR 4.3; 95% CI 1.8- 10.17) and eating tendency of fast food (OR 2.5; 95% CI 1.13 - 5.5). Gastric and heart burn (X2=4.19, p<0.05) and high blood pressure (X2=5.027, p<0.05) were detected among 34.9% and 27.9 % of those employees respectively identified as breakfast skippers and they showed significantly high prevalence. CONCLUSION: Breakfast skipping is highly prevalent among university professionals with significant association of different health problems in Bangladesh. Health promotion strategies should be used to encourage all adults to eat breakfast regularly.

Keywords: breakfast, healthy lifestyle, breakfast skipping, health status, university professionals

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Authors: Mohammad Jalali Varnamkhasti

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The genetic algorithms have been very successful in handling difficult optimization problems. The fundamental problem in genetic algorithms is premature convergence. This paper, present a new fuzzy genetic algorithm based on chaotic values instead of the random values in genetic algorithm processes. In this algorithm, for initial population is used chaotic sequences and then a new sexual selection proposed for selection mechanism. In this technique, the population is divided such that the male and female would be selected in an alternate way. The layout of the male and female chromosomes in each generation is different. A female chromosome is selected by tournament selection size from the female group. Then, the male chromosome is selected, in order of preference based on the maximum Hamming distance between the male chromosome and the female chromosome or The highest fitness value of male chromosome (if more than one male chromosome is having the maximum Hamming distance existed), or Random selection. The selections of crossover and mutation operators are achieved by running the fuzzy logic controllers, the crossover and mutation probabilities are varied on the basis of the phenotype and genotype characteristics of the chromosome population. Computational experiments are conducted on the proposed techniques and the results are compared with some other operators, heuristic and local search algorithms commonly used for solving p-median problems published in the literature.

Keywords: genetic algorithm, fuzzy system, chaos, sexual selection

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Authors: Benny Benyamin Nasution, Rahmat Widia Sembiring, Abdul Rahman Dalimunthe, Nursiah Mustari, Nisfan Bahri, Berta br Ginting, Riadil Akhir Lubis, Rita Tavip Megawati, Indri Dithisari

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The earth coordinate system is an important part of an attempt for earthquake forecasting, such as the one using Single Layer Hierarchical Graph Neuron (SLHGN). However, there are a number of problems that need to be worked out before the coordinate system can be utilized for the forecaster. One example of those is that SLHGN requires that the focused area of an earthquake must be constructed in a grid-like form. In fact, within the current earth coordinate system, the same longitude-difference would produce different distances. This can be observed at the distance on the Equator compared to distance at both poles. To deal with such a problem, a coordinate system has been developed, so that it can be used to support the ongoing earthquake forecasting using SLHGN. Two important issues have been developed in this system: 1) each location is not represented through two-value (longitude and latitude), but only a single value, 2) the conversion of the earth coordinate system to the x-y cartesian system requires no angular formulas, which is therefore fast. The accuracy and the performance have not been measured yet, since earthquake data is difficult to obtain. However, the characteristics of the SLHGN results show a very promising answer.

Keywords: hierarchical graph neuron, multidimensional hierarchical graph neuron, single layer hierarchical graph neuron, natural disaster forecasting, earthquake forecasting, earth coordinate system

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Authors: Alif Nur Irvan, M. Varaby Wahyu

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Indonesia is a country that have a lot of natural resources and as one of the most populous people in the world. In the last few years, the world economic is growing rapid, and then Indonesia must be able to develop his economy like the other country. The number of graduates in Indonesia always increase every year and the employment in Indonesia is getting decreased, this situation leads to rise unemployment in Indonesia. Limited employment makes people look for the ways to live decently. From this situation, entrepreneurs become an alternative in Indonesia to develop the economy. Being an entrepreneur means being able to find opportunities to utilize existing resources to take advantage of these opportunities. With the increasing number of entrepreneurs in Indonesia can increase employment, improve the quality of life, income distribution, utilize and mobilize resources to improve national productivity, and improve the welfare of government. The main sources for economic growth are the investments that improve the quality of capital or human resources, which in turn managed to increase the quantity of productive resources and can raise the productivity of all resources through new discoveries, innovations, creativity and technological progress. This paper is talking about the topic, discussions, and it offers the solutions to support entrepreneurs in Indonesia, and also talk about entrepreneurial problems that occurred in Indonesia, and the right solution to solve the problems of entrepreneurship in Indonesia and also discusses the role of government to support entrepreneurship to encourage the economy in Indonesia.

Keywords: entrepreneurship, economy, employment, government

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Authors: Mohammad Momeenul Islam, U. Johnson Alengaram, Mohd Zamin Jumaat, Iftekhair Ibnul Bashar

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Palm oil industry produces millions of tonnes of industrial wastes and these wastes create huge storage and environmental problems. In order to solve these problems various research works have been performed for past decades. The commonly available wastes are Oil palm shells (OPS) and Palm oil fuel ash (POFA). These materials have already acquired well recognition as alternate of conventional construction materials. OPS has been used as coarse aggregate and compressive strength was found up to 56 MPa for 56-day. It is said that 30 grade Oil Palm shell concrete (OPSC) is possible without adding any cementitious materials. The maximum modulus of elasticity for OPSC was found 18.6 GPa. The Oil palm shell concrete (OPSC) are used in country areas and nearby areas where the palm oil factories are located for houses, road-kerbs, drain blocks, etc. In case of superstructure like beams and slab are also produced by utilizing OPS. Many experimental works have been performed to establish POFA as a substituting binding material in replace of Ordinary Portland cement (OPC). Throughout the research it has been showed that up to 20% of cement by mass can be replaced by POFA. POFA is one of the most enriched pozzolanic materials. The main purpose of this review is to discuss the usage and opportunity of the palm oil industrial wastes as construction materials following the previous experimental research work.

Keywords: construction materials, oil palm shells (OPS), palm oil fuel ash (POFA), aggregates

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Authors: Giorgi Gaganidze, Eter Kharaishvili

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The atypical crisis has created new challenges in the education system. Globally, including in Georgia, traditional methods of managing the education system have appeared particularly vulnerable. In addition, new opportunities for the introduction of innovative management of learning processes have emerged. The aim of the research is to identify the main challenges in the field of education management in the distance learning process in Georgia and to develop recommendations on the opportunities for the introduction of innovative management. The paper substantiates the relevance of the research, in particular, it notes that in Georgia, as in many countries, distance learning in higher education institutions became particularly crucial during the Covid-19 pandemic. What is more, theoretical and practical aspects of distance learning are less proven, and a number of problems have been identified in the field of education management in Georgia. The article justifies the need to study the challenges of distance learning for the formation of a sustainable education management system. Within the bibliographic research, there are grouped the opinions of researchers on the modern problems of distance learning and education management in the article. Based on scientific papers, the expectations formed about distance learning are studied, and the main focus is on the existing problems of education management during the atypical crisis. The article discusses the forms and opportunities of distance learning in different countries, evaluates different approaches and challenges to distance learning, and justifies the role of education management in effective distance learning. The paper uses various theoretical-methodological tools of research, including desk research on the research topic; Data selection-grouping, problem identification is carried out by analysis, synthesis, sampling, induction, and other methods;SWOT analysis is used to assess the strengths, weaknesses, opportunities, and threats of distance education and management; The level of student satisfaction with distance learning is determined through the Population-based / Census-based approach; The results of the research are processed by SPSS program. Quantitative research and semi-structured interviews with relevant focus groups were conducted to identify working directions for innovative management of distance learning and education. Research has shown that the demand for distance education is growing in Georgia, but the need to introduce innovative education management remains a particular challenge. Conclusions have been made on the introduction of innovative education management, and the relevant recommendations have been developed.

Keywords: distance learning, management challenges, education management, innovative management

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Authors: Shu-Hui Jan, Shih-Ping Ho, Hui-Ping Tserng

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Construction knowledge can be referred to and reused among involved project managers and job-site engineers to alleviate problems on a construction job-site and reduce the time and cost of solving problems related to constructability. This paper proposes a new methodology to provide sharing of construction knowledge by using the Building Information Modeling (BIM) approach. The main characteristics of BIM include illustrating 3D CAD-based presentations and keeping information in a digital format, and facilitation of easy updating and transfer of information in the 3D BIM environment. Using the BIM approach, project managers and engineers can gain knowledge related to 3D BIM and obtain feedback provided by job-site engineers for future reference. This study addresses the application of knowledge sharing management in the construction phase of construction projects and proposes a BIM-based Knowledge Sharing Management (BIMKSM) system for project managers and engineers. The BIMKSM system is then applied in a selected case study of a construction project in Taiwan to verify the proposed methodology and demonstrate the effectiveness of sharing knowledge in the BIM environment. The combined results demonstrate that the BIMKSM system can be used as a visual BIM-based knowledge sharing management platform by utilizing the BIM approach and web technology.

Keywords: construction knowledge management, building information modeling, project management, web-based information system

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Authors: Geetha Baskaran, Andrzej Barjiela, Rong Qu

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Motivation: Nurse scheduling is a complex combinatorial optimization problem. It is also known as NP-hard. It needs an efficient re-scheduling to minimize some trade-off of the measures of violation by reducing selected constraints to soft constraints with measurements of their violations. Problem Statement: In this paper, we extend our novel approach to solve the nurse scheduling problem by transforming it through Information Granulation. Approach: This approach satisfies the rules of a typical hospital environment based on a standard benchmark problem. Generating good work schedules has a great influence on nurses' working conditions which are strongly related to the level of a quality health care. Domain transformation that combines the strengths of operation research and artificial intelligence was proposed for the solution of the problem. Compared to conventional methods, our approach involves judicious grouping (information granulation) of shifts types’ that transforms the original problem into a smaller solution domain. Later these schedules from the smaller problem domain are converted back into the original problem domain by taking into account the constraints that could not be represented in the smaller domain. An Integer Programming (IP) package is used to solve the transformed scheduling problem by expending the branch and bound algorithm. We have used the GNU Octave for Windows to solve this problem. Results: The scheduling problem has been solved in the proposed formalism resulting in a high quality schedule. Conclusion: Domain transformation represents departure from a conventional one-shift-at-a-time scheduling approach. It offers an advantage of efficient and easily understandable solutions as well as offering deterministic reproducibility of the results. We note, however, that it does not guarantee the global optimum.

Keywords: domain transformation, nurse scheduling, information granulation, artificial intelligence, simulation

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Authors: Latika Choudhary

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“The potential benefits of Artificial Intelligence are huge, So are the dangers.” - Dave Water. Artificial intelligence is one of the facet of Information technology domain which despite several attempts does not have a clear definition or ambit. However it can be understood as technology to solve problems via automated decisions and predictions. Artificial intelligence is essentially an algorithm based technology which analyses the large amounts of data and then solves problems by detecting useful patterns. Owing to its automated feature it will not be wrong to say that humans & AI have more utility than humans alone or computers alone.1 For many decades AI experienced enthusiasm as well as setbacks, yet it has today become part and parcel of our everyday life, making it convenient or at times problematic. AI and related technology encompass Intellectual Property in multiple ways, the most important being AI technology for management of Intellectual Property, IP for protecting AI and IP as a hindrance to the transparency of AI systems. Thus the relationship between the two is of reciprocity as IP influences AI and vice versa. While AI is a recent concept, the IP laws for protection or even dealing with its challenges are relatively older, raising the need for revision to keep up with the pace of technological advancements. This paper will analyze the relationship between AI and IP to determine how beneficial or conflictual the same is, address how the old concepts of IP are being stretched to its maximum limits so as to accommodate the unwanted consequences of the Artificial Intelligence and propose ways to mitigate the situation so that AI becomes the friend it is and not turn into a potential foe it appears to be.

Keywords: intellectual property rights, information technology, algorithm, artificial intelligence

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Authors: Bandana Bhattacharya

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‘Buddhism’, as such signifies the ‘ism’ that is based on Buddha’s life and teachings or that is concerned with the gospel of Buddha as recorded in the literature available in Pali, Sanskrit, Buddhist Sanskrit, Prakrit and even in the other non-Indian languages wherein it has been described a very abstruse, complex and lofty philosophy of life or ‘the way of life’ preached by Him (Buddha). It has another side too, i.e., the applicability of the tenets of Buddha according to the needs of the present society, where human life and outlook has been totally changed. Applied Buddhism signifies the applicability of the Buddha’s noble tenets. Along with the theological exposition and textual criticism of the Buddha’s discourses, it has now become almost obligatory for the Buddhist scholars to re-interpret Buddhism from modern perspectives. Basically Applied Buddhism defined a ‘way of life’ which may transform the higher quality of life or essence of life due to changed circumstances, places and time. Nowadays, if we observe the present situation of the world, we will find the current problems such as health, economic, politic, global warming, population explosion, pollution of all types including cultural scarcity essential commodities and indiscriminate use of human, natural and water resources are becoming more and more pronounced day by day, under such a backdrop of world situation. Applied Buddhism rather Buddhism may be the only instrument left now for mankind to address all such human achievements, lapses, and problems. Buddha’s doctrine is itself called ‘akālika, timeless’. On the eve of the Mahāparinibbāṇa at Kusinara, the Blessed One allows His disciples to change, modify and alter His minor teachings according to the needs of the future, although He has made some utterances, which would eternally remain fresh. Hence Buddhism has been able to occupy a prominent place in modern life, because of its timeless applicability, emanating from a set of eternal values. The logical and scientific outlook of Buddha may be traced in His very first sermon named the Dhammacakkapavattana-Sutta where He suggested to avoid the two extremes, namely, constantly attachment to sensual pleasures (Kāmasukhallikānuyoga) and devotion to self-mortification that is painful as well as unprofitable and asked to adopt Majjhimapaṭipadā, ‘Middle path’, which is very much applicable even today in every spheres of human life; and the absence of which is the root cause of all problems event at present. This paper will be a humble attempt to highlight the relevance of Buddhism in the present society.

Keywords: applied Buddhism, ecology, self-awareness, value

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Authors: Martin Bloomfield

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This paper examines frictions that lie at the heart of any pragmatist conception of religion and moral progress. I take moral progress to require the ability to correctly analyse social problems, provide workable solutions to these problems, and then rationally justify the analyses and solutions used. I take religion here to involve, as a minimal requirement, belief in the existence of God, a god, or gods, such that they are recognisable to most informed observers within the Western tradition. I take pragmatism to belong to, and borrow from, the philosophical traditions of non-absolutism, anti-realism, historicism, and voluntarism. For clarity, the relevant brands of each of these traditions will be examined during the paper. The friction identified in the title may be summed up as follows: those who, like Cornel West (and, when he was alive, Hilary Putnam), are theistic pragmatists with an interest in realising moral progress, have all been aware of a problem inherent in their positions. Assuming it can be argued that religion and moral progress are compatible, a non-absolutist, anti-realist, historicist position nevertheless raises problems that, as Leon Wieseltier pointed out, the pragmatist still believes in a God who isn’t real, and that the truth of any religious statement (including “God exists”) is relative not to any objective reality but to communities of engaged interlocutors; and that, where there are no absolute standards of right and wrong, any analysis of (and solution to) social problems can only be rationally justified relative to one or another community or moral and epistemic framework. Attempts made to universalise these frameworks, notably by Dewey, Gadamer, and Bernstein, through democracy and hermeneutics, fall into either a vicious and infinite regress, or (taking inspiration from Habermas) the problem of moral truths being decided through structures of power. The paper removes this friction by highlighting the work of Christian pragmatist Cornel West through the lens of the philosopher of religion Eleanore Stump. While West recognises that for the pragmatist, the correctness of any propositions about God or moral progress is impossible to rationally justify to any outside the religious, moral or epistemic framework of the speakers themselves without, as he calls it, a ‘locus of truth’ (which is itself free from the difficulties Dewey, Gadamer and Bernstein fall victim to), Stump identifies routes to knowledge which provide such a locus while avoiding the problems of relativism, power dynamics, and regress. She describes “Dominican” and “Franciscan” knowledge (roughly characterised as “propositional” and “non-propositional”), and uses this distinction to identify something Bernstein saw as missing from Gadamer: culture-independent norms, upon which universal agreement can be built. The “Franciscan knowledge” Stump identifies as key is second-personal knowledge of Christ. For West, this allows the knower to access vital culture-independent norms. If correct, instead of the classical view (religion is incompatible with pragmatism), Christianity becomes key to pragmatist knowledge and moral-knowledge claims. Rather than being undermined by pragmatism, Christianity enables pragmatists to make moral and epistemic claims, free from troubling power dynamics and cultural relativism.

Keywords: Cornel West, Cultural Relativism, Gadamer, Philosophy of Religion, Pragmatism

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Authors: Abdulkabir Abdullahi

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Nigeria has not yet welcomed phonics into its primary schools. In government-owned primary schools teachers are functionally ignorant of the stories of the reading wars amongst international scholars. There are few or no Nigerian-authored phonics textbooks, and there has been no government-owned phonics curriculum either. There are few or no academic journal articles on phonics in the country and there is, in fact, a certain danger of confusion between phonics and phonetics among Nigerian publishers, authors, writers and academics as if Nigerian teachers of English and the educational policy makers of the country were unaware of reading failures/problems amongst Nigerian children, or had never heard of phonics or read of the stories of the reading wars or the annual phonics test in the United Kingdom, the United States of America and other parts of the world. It is on this note that this article reviews and examines, in the style of a qualitative inquiry, the body of arguments on phonics, and explores the effectiveness of phonics teaching, particularly, in a second-language learning contexts. While the merit of the paper is, perhaps, situated in its supreme effort to draw global attention to reading failures/problems in Nigeria and the ways the situation may affect English language learning, international academic relations and the educational future of the country, it leaves any quantitative verification of its claims to interested quantitative researchers in the world.

Keywords: graphemes, phonics, reading, reading wars, reading theories, phonemic awareness

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Authors: Indri Nilam Sari, Aris Subagiyo, Nindya Sari

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Malinau Regency border area is an area which is based on the RTRWN and the development priority. But, in real border area Malinau Regency placed as backyard from Indonesian area and caused development lag that is fairly large compared by town area in Malinau Regency. This research aimed to know the condition of the gap in the Malinau Regency border and its influence on the development of the border region as well as knowing the problems related to the economy development of society in the area of the border district of Malinau. Methods of analysis are used in namely descriptive analysis that represent analysis of land use and analysis of movement activities of the population, level analysis facility and infrastructure, economy analysis that represent top commodity determination analysis (LQ and Growth Share) and accessibility. The results of the study showed that the condition of the Malinau Regency border come within the gap as seen from the contributions of infrastructure repair facilities and accessibility advocates, communities, scattered seed commodities come within the borders and human resources with the condition of the most Upstream Bahau town in the backwaters of the town more. There are a few problems that cause the condition area of the border experiencing inequality, lack of human resources, poor infrastructure, lack of accessibility and low levels of security so that it brings development recommendations was the development of the flagship commodities and infrastructure as well as supporting community economic infrastructure, as well as human resources.

Keywords: border, economy, development, Malinau

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Authors: Hamdan Hamood Aldumaini, Amjad Hussein Meqdam, Shamsaldeen kassim Ali, Hamed Mohammed Al-Yousefi, Haron Ahmed Al-Badawi

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Background: Autism Spectrum Disorder (ASD) is a complex developmental challenge characterized by significant impairments in social interaction, communication, and behavioral patterns. Diagnosing ASD is challenging due to the lack of definitive medical tests, making early identification crucial. Therefore, increasing people's awareness about autism leads to early diagnosis and better prognosis. Objective: Our study aims to identify the initial symptoms prompting families to seek medical advice, determine the timeline between symptom onset and formal diagnosis, and explore methods for assessing the severity of ASD. Subjects and Methods: The study design employed was a descriptive cross-sectional design, which was suitable for the nature of the research. The data collection took place from March 5, 2022, to April 5, 2022, in Autism Rehabilitation Centers in Sana'a, Yemen. The study population consisted of all children who were diagnosed with autism and visited Autism rehabilitation centers in Sana'a city. The sample size was determined using Epi info version 7, and a total population of 587 autistic children attending the treatment was calculated, but only 250 children were included in this study (176 were male vs. 74 female). Result: In terms of sociability problems, it was found that a significant proportion of Yemeni children with autism experienced difficulties in this area. Specifically, 39.6% were classified as having severe sociability problems, while 28.4% were classified as having moderate issues. Sensory-cognitive awareness problems were also prevalent among the respondents, with 29.6% exhibiting severe difficulties in this domain. Health and physical problems were identified as significant concerns for Yemeni children with autism. The results indicated that 38.4% of the participants experienced severe health and physical issues. Identifying the first symptoms of autism is crucial for early detection and intervention. According to the study, speech delay was the most commonly observed first abnormality, reported by 71.3% of parents. Communication difficulties with others were the second most noticed abnormality, reported by 54.9% of parents. Repetitive movements were the third most commonly observed abnormality, reported by 18% of parents. Regarding the awareness among parents of ASD, our study showed that a significant portion (62%) of parents lack awareness about Autism Spectrum Disorder (ASD) and its causes. Surprisingly, a majority of these parents (over 80%) believe that autism is a curable condition. Additionally, more than half (51.2%) of the parents surveyed reported insufficient knowledge about medication options available to support therapy and rehabilitation for their autistic children.

Keywords: autism characteristics, rehabilitation centres, yemen, children

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Authors: Yooseo Pang, Jongwoong Choi, Yong Cho, Yongchae Jeong

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Climate crisis, such as environmental problems related to energy supply, is getting emerged issues, so the use of renewable energy is essentially required to solve these problems, which are mainly managed by the Paris Agreement, the international treaty on climate change. The government of the Republic of Korea announced that the key long-term goal for a low-carbon strategy is “Carbon neutrality by 2050”. It is focused on the role of the internet data centers (IDC) in which large amounts of data, such as artificial intelligence (AI) and big data as an impact of the 4th industrial revolution, are managed. The demand for the cooling system market for IDC was about 9 billion US dollars in 2020, and 15.6% growth a year is expected in Korea. It is important to control the temperature in IDC with an efficient air conditioning system, so hydrothermal energy is one of the best options for saving energy in the cooling system. In order to save energy and optimize the operating conditions, it has been considered to apply ‘the dam deep water air conditioning system. Deep water at a specific level from the dam can supply constant water temperature year-round. It will be tested & analyzed the amount of energy saving with a pilot plant that has 100RT cooling capacity. Also, a target of this project is 1.2 PUE (Power Usage Effectiveness) which is the key parameter to check the efficiency of the cooling system.

Keywords: hydrothermal energy, HVAC, internet data center, free-cooling

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Authors: Vilma Zydziunaite, Ausra Rutkiene

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In modern society, problems related to the teacher's personality, mental and physical health, teacher's emotions and competencies are becoming more and more relevant. In Lithuania, compared to other European countries, teachers experience specific difficulties at work: they have to work in conditions of constant reforms and changes and face growing competition due to the decrease in students and schools. Professional burnout, teacher’s self-efficacy and perceived stress are interrelated personally and/or organisationally. So, the relationship between teachers' professional burnout, self-efficacy, and perceived stress in the school environment seems to be a relatively underresearched area in Lithuania. The research aim was to reveal and characterize teacher burnout, self-efficacy, and perceived stress in the Lithuanian school context. The quantitative research design with a questioning survey was chosen for the study. The sample size consisted of 427 Lithuanian teachers. Research results revealed the highest scores for exhaustion and the lowest for cynicism; at a time when the teacher experiences professional burnout, cynicism is observed as the weakest characteristic; no significant differences were found according to educational level work experience; significant differences were identified according to age for exhaustion and overall burnout level among teachers; the most of teachers in Lithuanian sample perceive the moderate stress level in school environment; overall burnout has a significant correlation with self-efficacy and stress among Lithuanian teachers. This study has empirical and practical implications: it is relevant to study the problems of teacher's professional burnout, stress, and self-efficacy in connection with contextual qualitative variables and specify the interrelationships between variables in order to be able to identify specific problems and provide empirical evidence to practically solve them. From a practical point of view, the results show that the socio-emotional state of teachers should not be dismissed as an insignificant aspect. Therefore, the school administration must make efforts to develop a positive school climate that supports the socio-emotional state of the teacher. At the same time, school administration must pay great attention to the development of teachers' socio-emotional competencies without ignoring their importance in the teacher's professional life.

Keywords: Lithuania, perceived stress, professional burnout, self-efficacy, teacher

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Authors: Nacer Eddine Chelbi, Ayet Bagane, Annie Saleh, Claude Sauvageau, Denis Gingras

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As recently stated by National Highway Traffic Safety Administration (NHTSA), to demonstrate the expected performance of a highly automated vehicles system, test approaches should include a combination of simulation, test track, and on-road testing. In this paper, we propose a new validation method for autonomous vehicles involving on-road tests (Field Operational Tests), test track (Test Matrix) and simulation (Worst Case Scenarios). We concentrate our discussion on the simulation aspects, in particular, we extend recent work based on Importance Sampling by using a Metropolis-Hasting algorithm (MHS) to sample collected data from the Safety Pilot Model Deployment (SPMD) in lane-change scenarios. Our proposed MH sampling method will be compared to the Importance Sampling method, which does not perform well in high-dimensional problems. The importance of this study is to obtain a sampler that could be applied to high dimensional simulation problems in order to reduce and optimize the number of test scenarios that are necessary for validation and certification of autonomous vehicles.

Keywords: automated driving, autonomous emergency braking (AEB), autonomous vehicles, certification, evaluation, importance sampling, metropolis-hastings sampling, tests

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Authors: Tayebeh Jameh-Bozorgi, M. Soleymani

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In this research, the role of social networks in promoting ethics in Iranian sports was investigated. The research adopted a descriptive-analytic method, and the survey’s population consisted of all the athletes invited to the national football, volleyball, wrestling and taekwondo teams. Considering the limited population, the size of the society was considered as the sample size. After the distribution of the questionnaires, 167 respondents answered the questionnaires correctly. The data collection tool was chosen according to Hamid Ghasemi`s, standard questionnaire for social networking and mass media, which has 28 questions. Reliability of the questionnaire was calculated using Cronbach's alpha coefficient (94%). The content validity of the questionnaire was also approved by the professors. In this study, descriptive statistics and inferential statistical methods were used to analyze the data using statistical software. The benchmark tests used in this research included the following: Binomial test, Friedman test, Spearman correlation coefficient, Vermont Creamers, Good fit test and comparative prototypes. The results showed that athletes believed that social network has a significant role in promoting sport ethics in the community. Telegram has been known to play a big role than other social networks. Moreover, the respondents' view on the role of social networks in promoting sport ethics was significantly different in both men and women groups. In fact, women had a more positive attitude towards the role of social networks in promoting sport ethics than men. The respondents' view of the role of social networks in promoting the ethics of sports in the study groups also had a significant difference. Additionally, there was a significant and reverse relationship between the sports experience and the attitude of national athletes regarding the role of social networks in promoting ethics in sports.

Keywords: ethics, social networks, mass media, Iranian sports, internet

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Authors: Anthony D. Rhodes, Manan Goel

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We provide a high fidelity deep learning algorithm (HyperSeg) for interactive video segmentation tasks using a dense convolutional network with context-aware skip connections and compressed, 'hypercolumn' image features combined with a convolutional tessellation procedure. In order to maintain high output fidelity, our model crucially processes and renders all image features in high resolution, without utilizing downsampling or pooling procedures. We maintain this consistent, high grade fidelity efficiently in our model chiefly through two means: (1) we use a statistically-principled, tensor decomposition procedure to modulate the number of hypercolumn features and (2) we render these features in their native resolution using a convolutional tessellation technique. For improved pixel-level segmentation results, we introduce a boundary loss function; for improved temporal coherence in video data, we include temporal image information in our model. Through experiments, we demonstrate the improved accuracy of our model against baseline models for interactive segmentation tasks using high resolution video data. We also introduce a benchmark video segmentation dataset, the VFX Segmentation Dataset, which contains over 27,046 high resolution video frames, including green screen and various composited scenes with corresponding, hand-crafted, pixel-level segmentations. Our work presents a improves state of the art segmentation fidelity with high resolution data and can be used across a broad range of application domains, including VFX pipelines and medical imaging disciplines.

Keywords: computer vision, object segmentation, interactive segmentation, model compression

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Authors: Keshab Shrestha, Hung-Suck Park

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Emergy accounting of the systems networks is guided by a definite rule called ‘emergy algebra’. The systems networks consist of two types of branching. These are the co-product branching and split branching. The emergy accounting procedure for both the branching types is different. According to the emergy algebra, each branch in the co-product branching has different transformity values whereas the split branching has the same transformity value. After the transformity value of each branch is determined, the emergy is calculated by multiplying this with the energy. The aim of this research is to solve the problems in determining the transformity values in the co-product branching through the introduction of a new methodology, the modified physical quantity method. Initially, the existing methodologies for emergy accounting in the co-product branching is discussed and later, the modified physical quantity method is introduced with a case study of the Eucalyptus pulp production. The existing emergy accounting methodologies in the co-product branching has wrong interpretations with incorrect emergy calculations. The modified physical quantity method solves those problems of emergy accounting in the co-product branching systems. The transformity value calculated for each branch is different and also applicable in the emergy calculations. The methodology also strictly follows the emergy algebra rules. This new modified physical quantity methodology is a valid approach in emergy accounting particularly in the multi-production systems networks.

Keywords: co-product branching, emergy accounting, emergy algebra, modified physical quantity method, transformity value

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Authors: Andrey Makarov

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This article will focus on the development of antitrust policy in transition economies in the context of preventing explicit and tacit collusion. Experience of BRICS, CIS (Ukraine, Kazakhstan) and CEE countries (Bulgaria, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Czech Republic, Estonia) in the creation of antitrust institutions was analyzed, including both legislation and enforcement practice. Most of these countries in the early 90th were forced to develop completely new legislation in the field of protection of competition and it is important to compare different ways of building antitrust institutions and policy results. The article proposes a special approach to evaluation of preventing collusion mechanisms. This approach takes into account such enforcement problems as: classification problems (tacit vs explicit collusion, vertical vs horizontal agreements), flexibility of prohibitions (the balance between “per se” vs “rule of reason” approaches de jure and in practice), design of sanctions, private enforcement challenge, leniency program mechanisms, the role of antitrust authorities etc. The analysis is conducted using both official data, published by competition authorities, and expert assessments. The paper will show how the integration process within the EU predetermined some aspects of the development of antitrust policy in CEE countries, including the trend of the use of "rule of reason" approach. Simultaneously was analyzed the experience of CEE countries in special mechanisms of government intervention. CIS countries in the development of antitrust policy followed more or less original ways, without such a great impact from the European Union, more attention will be given to Russian experience in this field, including the analysis of judicial decisions in antitrust cases. Main problems and challenges for transition economies in this field will be shown, including: Legal uncertainty problem; Problem of rigidity of prohibitions; Enforcement priorities of the regulator; Interaction of administrative and criminal law, limited effectiveness of criminal sanctions in the antitrust field; The effectiveness of leniency program design; Private enforcement challenge.

Keywords: collusion, antitrust policy, leniency program, transition economies, Russia, CEE

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Authors: Zhang Shuqi, Liu Dan

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For the problems in intelligent network anomaly traffic detection models, such as low detection accuracy caused by the lack of training samples, poor effect with small sample attack detection, a classification model enhancement method, F-ACGAN(Flow Auxiliary Classifier Generative Adversarial Network) which introduces generative adversarial network and adversarial training, is proposed to solve these problems. Generating adversarial data with category labels could enhance the training effect and improve classification accuracy and model robustness. FACGAN consists of three steps: feature preprocess, which includes data type conversion, dimensionality reduction and normalization, etc.; A generative adversarial network model with feature learning ability is designed, and the sample generation effect of the model is improved through adversarial iterations between generator and discriminator. The adversarial disturbance factor of the gradient direction of the classification model is added to improve the diversity and antagonism of generated data and to promote the model to learn from adversarial classification features. The experiment of constructing a classification model with the UNSW-NB15 dataset shows that with the enhancement of FACGAN on the basic model, the classification accuracy has improved by 8.09%, and the score of F1 has improved by 6.94%.

Keywords: data imbalance, GAN, ACGAN, anomaly detection, adversarial training, data augmentation

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Authors: Mina Bakhshi

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Nowadays, issues such as various types of pollution, problems caused by energy consumption, population density, social activities, difficulties related to urban access and communication, transportation, etc., have challenged different communities and become the subject of their discussions. In response to this issue, theories and movements have emerged to achieve sustainable urban development, including the smart growth movement. This theory emphasizes that the physical growth and expansion of cities should serve the community and the environment, aiming to improve the quality of life and promote the use of renewable energy resources for sustainability. The smart city network system not only improves the economic situation of the society and benefits the environment but also enables the achievement of important issues such as sustainable development, continuity, and diversity of energy resources. In this article, we investigate the impact of using renewable energy sources on optimizing energy consumption and reducing pollution caused by fossil fuels with the help of smart city development. The aim of this article is to introduce renewable energy sources and their utilization as a solution to address the energy crisis and reduce environmental pollution. This research has attempted to introduce the smart city and the use of renewable energy sources as a method for solving many urban problems and achieving efficient urban control and management.

Keywords: smart city, renewable energy sources, sustainable development, sustainable city

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Authors: Emine Yilmaz, Ismail Yilmaz, Harun Uran

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Food-borne problems have been placed among the most leading problems of the society especially in recent years. This state arises as a problem which affects the society wholly such as the supply of food stuffs that are necessary for an individual to perform his physiological and biological functions, their amount, compound, their effects on health and distribution by individuals. This study was conducted in order to determine the sensitivities and criteria of people, who have different socio-economic backgrounds and live in Süleymanpasa Town of Tekirdag City, in their preference of food stuffs. The research data were collected by means of Interview Technique with individuals within the scope of the study (300) and applying surveys with convenience sampling. According to the research results, quality appears in the first rank among the factors by which consumers are affected while buying food stuffs. Consumers stated that they try to be careful with not buying food sold outdoors. The most preferred food among the ones being sold outdoor were found to be breakfast food. Also, food stuff which consumers become the most selective for while buying was determined to be meat and meat products. Due to general knowledge about the food stuff consumed in human nutrition may affect their health negatively; consumers expressed that they are very relevant with their diets and this circumstances affects their purchase preferences.  

Keywords: consumption, food safety, consumer behaviour, purchase preferences

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Authors: Burhan Khan

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Objective: This study aims to enhance the body of knowledge about the vulnerabilities of child waste pickers in solid waste management. The primary objective of this research is to investigate the occupational menaces and their potential harm to the health of child waste pickers. Material and Methods: The present study design is descriptive in nature and involves children aged 5 through 14, who were rummaging through garbage in the roads and streets of Aligarh city, Uttar Pradesh. The researcher adopted an empirical approach to interview 65 participants (27 boys and 38 girls) across Aligarh city, Uttar Pradesh. The majority of the participants are Muslims (76.9 %), scheduled Castes (13.8 %), and Hindus (9.2 %). Out of 65 participants, 73.8% of children were migrated within the last five years. The primary data were analysed by utilising descriptive statistics, including frequencies, cross-tabs, means, and percentages. Results: The results show that the vast majority of children (87.7%) have experienced superficial injuries or open wound at their work. More than 32% were suffering from respiratory problems such as coughing, wheezing and short of breath, close to 37% reported skin problems like allergy, irritation and bruising and 4.6% had eye problems such as pain and irritation in eyes. Nearly 78% of children lift and carry a heavy load like large garbage bags. Over 83% informed that they sort through refuse in a filthy environment such as open dumpsites, effluents, and runnels. Conclusion: This research provides pieces of evidence of how children are being tormented in the rag-picking sector. It has been observed that child rag pickers are susceptible to injuries or illnesses due to work-related risks and toxic environment. In India, there is no robust policy to address the concerns of waste pickers and laws to protect their rights. Consequently, these deprived communities of rag pickers, especially children, have become more vulnerable over time in India. Hence, this research paper calls for a quick response to the exigencies of child rag picker by developing a holistic approach that deals with education, medical care, sanitation, and nutrition for child rag pickers.

Keywords: child rag pickers, health impairments, occupational hazards, toxic environment

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Authors: Robin Lok Wang Ma

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The purpose of this paper is to investigate how engineering students’ motivation and interests are maintained in their journeys. In recent years, different pedagogies of teaching, including entrepreneurship, experiential and lifelong learning, as well as dream builder, etc., have been widely used for education purposes. University advocates hands-on practice, learning by experiencing and experimenting throughout different courses. Students are not limited to gaining knowledge via traditional lectures, laboratory demonstrations, tutorials, and so on. The capability to identify both complex problems and their corresponding solutions in daily life are one of the criteria/skill sets required for graduates to obtain their careers at professional organizations and companies. A project-based course, namely Mechatronic Design and Prototyping, was developed for students to design and build a physical prototype for solving existing problems in their daily lives, thereby encouraging them as an entrepreneur to explore further possibilities to commercialize their designed prototypes and launch them to the market. Feedbacks from students show that they are keen to propose their own ideas freely with guidance from the instructor instead of using either suggested or assigned topics. Proposed ideas of the prototypes reflect that if students’ interests are maintained, they acquire the knowledge and skills they need, including essential communication, logical thinking, and, more importantly, problem solving for their lifelong learning journey.

Keywords: problem solving, lifelong learning, entrepreneurship, engineering

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Authors: Aneena Suresh, C. S. Sidharth

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Drug related problems (DRPs) are common in chronic kidney disease (CKD) patients and end stage patients undergoing hemodialysis. To treat the co-morbid conditions of the patients, more complex therapeutic regimen is required, and it leads to development of DRPs. So, this calls for frequent monitoring of the patients. Due to the busy work schedules, physicians are unable to deliver optimal care to these patients. Addition of a clinical pharmacist in the team will improve the standard of care offered to CKD patients by minimizing DRPs. In India, the role of clinical pharmacists in the improving the health outcomes in CKD patients is poorly recognized. Therefore, this study is conducted to put an insight on the role of clinical pharmacist in improving Drug Related Problems in patients with chronic kidney disease, thereby helping them to achieve desired therapeutic outcomes in the patients. A prospective interventional study was conducted for a year in a 620 bedded tertiary care hospital in India. Data was collected using an unstructured questionnaire, medication charts, etc. DRPs were categorized using Hepler and Strand classification. Relationships between the age, weight, GFR, average no of medication taken, average no of comorbidities, and average length of hospital days with the DRPs were identified using Mann Whitney U test. The study population primarily constituted of patients above the age of 50 years with a mean age of 59.91±13.59. Our study showed that 25% of the population presented with DRPs. On an average, CKD patients are prescribed at least 8 medications for the treatment in our study. This explains the high incidence of drug interactions in patients suffering from CKD (45.65%). The least common DRPs in our study were found to be sub therapeutic dose (2%) and adverse drug reactions (2%). Out of this, 60 % of the DRPs were addressed successfully. In our study, there is an association between the DRPs with the average number of medications prescribed, the average number of comorbidities, and the length of the hospital days with p value of 0.022, 0.004, and 0.000, respectively. In the current study, 86% of the proposed interventions were accepted, and 41 % were implemented by the physician, and only 14% were rejected. Hence, it is evident that clinical pharmacist interventions will contribute significantly to diminish the DRPs in CKD patients, thereby decreasing the economic burden of healthcare costs and improving patient’s quality of life.

Keywords: chronic kidney disease, clinical pharmacist, drug related problem, intervention

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Authors: Anat Keller

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Given that macro-prudential supervision is a relatively new policy area and its empirical and analytical research are still in their infancy, its theoretical foundations are also lagging behind. This paper contributes to the developing discussion on effective legal and institutional macroprudential supervision frameworks. In the first part of the paper, it is argued that effectiveness as a key benchmark poses some challenges in the context of macroprudential supervision such as the difficulty in proving causality between supervisory actions and the achievement of the supervisor’s mission. The paper suggests that effectiveness in the macroprudential context should, therefore, be assessed at the supervisory decision-making process (to be differentiated from the supervisory outcomes). The second part of the essay examines whether insights from behavioural economics can point to biases in the macroprudential decision-making process. These biases include, inter alia, preference bias, groupthink bias and inaction bias. It is argued that these biases are exacerbated in the multilateral setting of the macroprudential supervision framework in the EU. The paper then examines how legal and institutional frameworks should be designed to acknowledge and perhaps contain these identified biases. The paper suggests that the effectiveness of macroprudential policy will largely depend on the existence of clear and robust transparency and accountability arrangements. Accountability arrangements can be used as a vehicle for identifying and addressing potential biases in the macro-prudential framework, in particular, inaction bias. Inclusiveness of the public in the supervisory process in the form of transparency and awareness of the logic behind policy decisions may assist in minimising their potential unpopularity thus promoting their effectiveness. Furthermore, a governance structure which facilitates coordination of the macroprudential supervisor with other policymakers and incorporates outside perspectives and opinions could ‘break-down’ groupthink bias as well as inaction bias.

Keywords: behavioural economics and biases, effectiveness of macroprudential supervision, legal and institutional macroprudential frameworks, macroprudential decision-making process

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Authors: Santosh Kumar Ketham

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Climate change creating most dramatic and destructive consequences, the result is global warming and sea-level rise, flooding coastal cities around the world forming vulnerable situations affecting in multiple ways: environment, economy, social and political. The aim and goal of the research is to develop cities on water. Taking the problem as an opportunity to bring science, engineering, policies and design together to make a resilient and sustainable floating community on water considering existing/new technologies of floating. The quest is to make sustainable habitat on water to live, work, learn and play.  To make sustainable energy generation and storage alongside maintaining balance of land and marine to conserve Ecosystem. The research would serve as a model for sustainable neighbourhoods designed in a modular way and thus can easily extend or re-arranged, to adapt for future socioeconomic realities.  This research paper studies primarily on climate change problems, effects, risks and opportunities. It does so, through analysing existing case studies, books and writings published on coastal cities and understanding its various aspects for making sustainable habitat.

Keywords: floating cities, flexible modular typologies, rising sea levels, sustainable architecture and urbanism

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Authors: Elżbieta Frołowicz

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Throughout the ages, pedeutological reflection has been accompanied by numerous controversies resulting from public discourse of social, economic and political forces. According to accepted ideologies or represented interests, these forces generate various visions of self, which should be the result of the educational process at school. Accuracy of visions is particularly important in times of fast and significant socio-cultural changes witnessed by us. The teacher – also the music teacher – is responsible for accomplishing them. The author tries to characterize the group of music teachers and some contexts of their functioning in modern Polish schools based on literature analysis and according to results of her research conducted in the years 2013-2014 and ten years later (2023-2024). The source of analysis material is mostly interviews with music teachers from different types of elementary schools in Poland. This research used a partially structured individual depth interview to ensure a quality encounter between two personalities during a personal conversation. Interviews were conducted with 8 people in 2013-2014 and with 7 in 2023-24. Music teachers' problems have remained essentially unchanged over the decade. In an attempt to formulate some general conclusions, the author offers an assertion that the functioning of music teachers at school is vastly restrained by the coercion of an institution and is not compatible with the present requirements in which they operate.

Keywords: educational strategies, interview, music teacher, public education

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