bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Digital Twin Based on Artificial Intelligence as a Service in Digital Business Ecosystem
Authors: Bondar Sergej , Kremer Philipp , Lützenberger Johannes , Stjepandić Josip
Published: November 2023

The process of creating value includes the creation of new offerings. Such a procedure needs to be conceptually designed and practically carried out. Here, the emphasis is on how to add value for the client. A suitably established business model is the key aspect. It explains how the development of the product or service is dependent on one another. The many product or service value dimensions are investigated as the business planning’s component parts for that reason. The idea of the digital twin offers customers several advantages. A digital twin that provides 3D and spatial information is useful, particularly for stakeholders in plant industries that deal with complex assets. To shape a suitable business model according to the new offering, the approach of the business canvas has been exploited. In this paper, a transdisciplinary conceptual approach to creating a new service offering in a digital business ecosystem is presented.
A New Customer Complaint Handling Process Redesign for Five-Axis Machinery Solution Sales and Delivery in Aviation Manufacturing Industry
Authors: Younes Ruah , Wang Chang , Lee Ching-Hung , Li Fan , Yang Shang-Ru
Published: November 2023

Organizations face a significant challenge globally as a result of environments marked by sharp shifts in customer requirements and expectations. Happy and delighted customers are assets for any company, company’s customer compliant (CC) system playes an important role in retention and satisfaction of the customer. Obviously, a better understanding of customers’ expectations and their outlooks towards high-quality products and services, competitor behaviors, widespread information technology, and smart applications is an important research issue. For this reason, this paper proposes a methodology aiming to handel Customer complait based on Customer complaint handling (CCH) system and a case study of business redesign is demonstrated, This research paper employed participant observation and business process redesign method to inform the design of an effective customer complaint handling system for APEC company. The researcher gained valuable insight into the dynamics, challenges, and underlying factors that influence complaint resolution through active absorption in the complaint handling environment. The findings from this approach were used to design a new customer-centric process that addressed identified obstacles and aligned with the specific requirements of the case company.
Uncertainty-Aware Container Warehousing Planning for Port Throughput Improvement
Authors: Abe Keisuke , Nagahata Kosuke , Tanaka Kenji
Published: November 2023

Against the backdrop of increasing demand for marine transportation and larger container vessels, ports and harbors are required to significantly increase their throughput capacity. As a measure to achieve this, new operating systems are being developed to optimize port operations by utilizing AI and IoT technologies at port sites. This paper aims to explore the feasibility of machine-learning-based container warehousing planning and shipper cooperative operations. The results of this study were as follows. The result of the warehousing plan that separates outbound containers and export containers based on the forecasted results of import containers resulted in a significant improvement in the evaluation index. Furthermore, assuming that some shippers would change the timing of outbound cargo, the more shippers cooperated, the better the index improved. The evaluation index was further improved when the containers of cooperative shippers were stored together in the same area to improve local efficiency. The study concluded that using machinelearning prediction information in warehousing planning and shippers’ cooperation in determining the timing of outbound cargo effectively improves the throughput of container terminals.
Investigating Government Subsidy and Policy to Encourage the Adoption of the Energy Storage System and Electric Vehicle: A System Dynamics Model Approach
Authors: Chou Shuo-Yan , Yu Tiffany Hui-Kuang , Suryani Erma , Rahmawati Rafika , Handayani Firin , Dewabharata Anindhita
Published: November 2023

Carbon dioxide is essential to the climate system and is crucial in increasing global greenhouse gas emissions. In several countries, one of the highest contributors to carbon emissions comes from burning fossil fuels for energy, supported by electricity consumption in industrial activities. Thus, using renewable energy and the rapid development of emerging technologies, such as energy storage systems (ESS) and electric vehicles (EVs), are promising strategies to reduce fossil fuel consumption, emit less carbon and GHG emissions, and be environmentally friendly. However, the adoption transition of ESS and EVs requires government support and other incentives to succeed in the goals to reduce emissions by 23% – 25% in 2030 and the ban on the sale of fossil fuel vehicles by 2040 in Taiwan. Therefore, this study investigates the impact of government policies and subsidies on promoting the adoption of energy storage systems (ESS) and electric vehicles (EVs). Then, using a system dynamics approach, a validated model is developed to capture the dynamic interaction among electricity generation, ESS, EVs, infrastructure, government subsidies, and consumer behavior. The findings emphasize the significance of purchase subsidies, research and development subsidies, and tax incentives in driving the adoption and private investment in ESS and EVs, thus contributing to the advancement of the industry.
Transdisciplinary Framework for Selecting Waste to Energy Technologies
Authors: Trigos Federico , Guerra Adriana
Published: November 2023

Public administrators face the challenge of valuating waste to energy projects in a comprehensive fashion. The academic literature is fertile in methods involving technical, environmental, and financial independent valuations or combinations but scant regarding all stakeholders (financial institutions, government, citizens, entrepreneurs, health care system, among others) in a sustainable framework (economic, social, and environmental). Appropriate waste selection to energy technologies for a given region is paramount to enhancing economic development through alternative energy generation, public health improvement, and better living standards, among others impacts. Genichi Taguchi’s loss function inspires this article. He computed a comprehensive quality cost function for society (manufacturer and customer). By expanding this idea in a transdisciplinary form, the valuation of waste to energy technologies must include all stakeholders, not only technological implementation costs (factory set-up and management) but also the impacts to the society at large such as the value of the energy generated, environmental gains by landfill savings and use (reduction of levels in current fields and impacts in real state value), impacts to public health cost, among others. The contribution of this work is twofold a) A transdisciplinary waste to energy economic valuation framework and b) an illustrative instance to show the mechanics of the framework in public decision-making.
Data Analytics for Admission Process: Bachelor of Engineering Program
Authors: Thongkaew Kunlapat , Vasupongayya Sangsuree , Phongsooknirun Jiraporn , Loywirat Thanita
Published: November 2023

Higher education provides opportunities to many occupations, influencing one’s career. Higher education admissions processes vary by country or university, from reviewing materials to admissions decisions. Different admissions philosophies may influence applicants’ eligibility for higher education and admission versus choice of admission. However, the intense competition among hundreds of applicants has compelled universities to upgrade their recruitment procedures to accept students with exceptional potential. Data analysis procedures have been applied in many areas to extract valuable insights from available data. Many industries acquire, store, and analyze data to make strategic decisions and gain valuable knowledge. Data analytic has been applied in the education industry to facilitate improved decisions in various sectors, including the development of tailored and dynamic learning programs, the enhancement of grading systems, and the prediction of a student’s optimal future career. Therefore, the purpose of this research is to apply data analytics to facilitate a data-driven decision process based on prospective and current student data. The academic performance of current engineering students in both university and high school is analyzed in this study. Since there are 13 engineering programs considered, the different environmental settings of schools or engineering programs are also taken into account. Additionally, the impact of COVID-19 on the teaching and learning process in recent years was considered. The results were used to enhance the first-year engineering academic support program and evaluate the effectiveness of the current admissions procedure.
Designing Transdisciplinary Engineering Programmes: A New Wave in Engineering Education
Authors: Lazar Irina , Liote Laurent , Cooper Adam
Published: November 2023

Traditional engineering programmes equip graduates with knowledge and skills that enable them to achieve great technological advancements. However, one of the flaws of current programme design is that what is taught is often compartmentalised into pockets of knowledge potentially leading to a loss of perspective. Engineering students are highly applied and solution-oriented, but many times do not hold a holistic view of other associated professional dimensions. This can be detrimental in fast-paced changing environments, where they are exposed to global challenges spanning multiple disciplines. The question is how can we, as educators, overcome these flaws? We argue that providing innovative engineering education programmes that combine technical training and skills with social-scientific and policy knowledge is key. This creates the premises for new generations of graduates who possess a transdisciplinary skillset thus “speaking multiple professional languages” and filling a clear gap on the employment market, as studies have shown. We present a case-study focused on the new engineering programme at University College London (UCL): the BSc Science and Engineering for Social Change. Here, we offer students an authentic learning experience using project and problem-based approaches to contextualise learning in diverse environments. Projects are set in collaboration with community partners who provide real-world socio-technical challenges for students to solve. Students get to simultaneously apply the technical and social science skills they learn, constituting a true transdisciplinary engineering experience enabling them to thrive in the professional world.
Towards Creativity Measurement in the Energy Industry
Authors: Zhang Zhao , Holmes R. Chadwick , Tang Victor
Published: November 2023

Creativity plays a critical role in how companies manage and strategically reposition during periods of change, including the current digital transformation and energy transition in the energy industry. However, a holistic framework is absent to systematically exploit ideas, evaluate and prioritize competing ideas with limited resources, and turn ideas into valuable and marketable products. Thus, companies need to be able to measure their creative ideas so that resources and R&D investments are far more effective. We implemented a new matrix-algebraic framework called Quantitative Creativity Scores (QCS) to evaluate innovative ideas and identify areas we need to improve to stay competitive. Specifically, we adapted the feature-attribute creativity matrices to represent innovative ideas. We then applied the idea operators, which use matrix-expressed ideas as operands, to calculate the quantitative creativity scores. Significant research has been conducted in salt body detection from seismic data, a vital task in hydrocarbon exploration and storage detection of new energy vectors like hydrogen. There has been a significant amount of research conducted in this area, making it a challenging topic for innovative research and development. We applied this QCS evaluation framework to evaluate two real-world novel salt-body detection workflows. Through this assessment, we can compare, evaluate, and quantitatively calculate which idea has the most potential for success and leverage the existing knowledge to drive further innovation. Our results demonstrate that this approach allows us to generate and evaluate new ideas in a repeatable and reproducible way, which can help us to identify and pursue creative ideas to exploit their market potential fully.
EEG-Based Stress Recognition Through the Integration of Convolutional Neural Networks and Mixture of Experts Ensemble Modelling
Authors: Xia Ziqing , Wen Justin JiXi , Chen Chun-Hsien , Hsieh Meng-Hsueh , Kuo Jo-Yu
Published: November 2023

Vessel Traffic Service Operators (VTSOs) are responsible for ensuring the safe and efficient operation of waterways. They use a Vessel Traffic Management System (VTMS) to provide real-time information and ensure the smooth flow of vessel traffic. However, the demanding nature of their work can lead to stress, which can impact their performance and lead to physical and mental health problems. To alleviate stress on VTSOs and reduce the risk of maritime accidents, investment in stress management technologies is important. In this study, we propose a novel machine learning model called 3D Mixture of Experts Convolutional Neural Network (3DMoEConvNet) to predict stress level for VTSOs based on their EEG signals. The 3DMoEConvNet model combines the strengths of 3D Convolutional Neural Network (3D CNN) and Mixture of Experts (MoE) architecture to effectively capture both the spatial and temporal features of EEG data, while also addressing the issue of individual differences in EEG data. The 3DMoEConvNet achieved accuracies of 99.80%, 99.80% and 99.84% for 2-Class, 3-Class and 4-Class predictions, respectively. The proposed model provides a basis for the advancement of EEG-based stress detection systems.
Human-Centric Digital Twin: A Transdisciplinary View
Authors: Peruzzini Margherita , Bilancia Pietro , Majić Tomislava , Ostrosi Egon , Stjepandić Josip
Published: November 2023

Due to the rising digitalization in the past few years, even more data can be collected from smart products and sensors to describe the real world, goods, environments, and newly humans including those mutual interactions. Digital twin (DT) has become a key word in engineering, society, and medicine, which is also a hot topic in research for creating virtual data-driven replicas of real objects and simulating their behaviors to predict and optimize the entire system functioning. DTs can mirror the physical entities throughout their lifecycle and create real-time connections between the physical and virtual worlds to monitor and control physical objects from any location. Physical objects can be any living or non-living object, such as humans, machines, robots, cars, buildings, plants, food, or economy. Numerous papers related to DT in various industries have been presented, but very few are focusing on the human-related aspects and the quality of the human machine interaction. In this context, how to shape a human-centric digital twin (HCDT)? The paper states the needs of a human-centric approach in the design and development of DT and presents a set of significant applications of HCDT in different fields, from industry to medicine, from economics to society, discussing the positioning of the HCDT concept in the landscape of transdisciplinary engineering, which is also subject of a workshop during the conference.
Investigation of the fuel-air flow inside a vortex furnace with a fluidized bed using a special air-distributing nozzle.
Authors: Alforov S.
Published: November 2023

The search for resources alternative to fossil sources of thermal energy is a constant component of the development of the energy sector of any country. This issue is now most urgent due to various political processes and the constant decrease of the total amount of non-renewable natural resources. One of the ways to implement the issue of replacing natural gas, coal and other types of fossil fuels is the burning of waste from agriculture and the woodworking industry. But this is associated with a significant number of technical difficulties and an insufficient theoretical basis for implementation. The article presents the results of an experimental study of the fuel-air flow inside a fluidized-bed vortex furnace using a special air-distributing nozzle. A nozzle with a 15ͦ slope of the plates is used, which does not exceed 10% of the total area of ​​the free section of the chamber of the experimental setup. In the course of the experiment, the limiting conditions for the formation of a vortex flow at different amounts of fuel and different air flow rates are indicated, and the values ​​of pressure losses and flow rates are shown. So for 2.9 kg of sawdust, the maximum speed of formation of a vortex flow is 0.72 m/s, for 5.8 kg this value is 0.57 m/s. The results obtained make it possible to formulate recommendations for the improvement of existing solid fuel furnaces through the use of special nozzles to intensify combustion processes. In the future, it is planned to consider other types of solid fuel and the influence of different angles of inclination of the blades on the air distribution nozzle on the aerodynamic characteristics inside the vortex furnace. All this will make it possible to formulate recommendations for the improvement of existing solid fuel vortex furnaces.
Improvement of the methods of structural-parametric optimization in the analysis of ground heat accumulators
Authors: Chоvniuk Y , Moskvitina A , Peftieva I.
Published: November 2023

Accumulators of high thermal capacity are organized in a natural soil mass ordered by a set ("bush") of vertical/horizontal heat exchangers, which are placed either in boreholes or inside cylindrical cavities of a concrete mass in pipes. As a result of accumulation, a main region of accumulated heat is created, which is limited by the outer contour of the "bush", of a certain volume and with a certain temperature, as well as a buffer sub-region of a certain volume, which touches the main one and is the result of thermal interaction of the volume of the main region with the surrounding soil mass, which has constant temperature. The smallest dimensions of the buffer subregion will be in the case of a uniform temperature distribution over the main volume. This is achieved by organizing the same heat load that falls on each heat exchanger, the same potential of the intermediate heat carrier and a small difference in its temperatures, respectively, at the inlet and outlet of each heat exchanger, and a number of other requirements. The dimensions of the buffer subregion can be reduced by creating an upper heat shield. This will lead to a reduction in the dimensions of the entire structure and there will be no need for thermal insulation of pipelines that supply and discharge the coolant in the middle of the heat accumulator. In this case, the dimensions of the structure must be optimal, i.e. meet a certain criterion, in which the ratio of the volume of the buffer subregion to the volume of the entire heat accumulator is minimal. An improved method of structural-parametric optimization of ground heat accumulators in the process of analyzing their functioning is presented. The optimal ratios of the dimensions of these accumulators with an upper heat-insulating shield (or without it) and a developed technique are determined that allow finding the number of heat exchangers, their parameter and the distance between them to ensure minimal costs for building an accumulator.
Differences in determination of terms and safety requirements in regulatory documents of gas supply
Authors: Franchuk Yu. , Peftieva I.
Published: November 2023

The article studies the terms and requirements of the current regulatory documents that are used in the gasification of various facilities and in their maintenance and repair. The problem is solved by comparing normative documents. The paper analyzes the current regulatory documents and analyzes the terms and concepts inherent in the gas supply industry, such as natural gas, gas quality, gas metering, gas supply system, gas hazardous work, technical lanes, pressure, tank, cylinder, etc. The differences in the interpretations of some and the same terms in the current regulatory documents, different requirements, additions to some of them by others. The article may also be useful to employees who investigate accidents, people who are preparing to pass exams in labor protection and their further work. Human life and health are a very important factor in the production process. the employer is obliged to create working conditions at each workplace, in each structural unit in accordance with regulations, as well as to ensure compliance with the requirements of the legislation on workers' rights in accordance with applicable regulations. However, analyzing the current regulations, we can see that in different existing documents the issue is treated differently. Instead of supplementing documents with each other, specifying requirements, creating a holistic and unambiguous picture in general, there is inaccuracy, ambiguity of understanding, complexity and sometimes inability to meet existing requirements. This situation does not improve the situation as a whole The analysis shows some discrepancies between existing regulations, some of their mutual inaccuracy, which complicates the use of these documents in practice, in the operation of certain facilities, in writing instructions on labor protection, in investigating accidents at work, especially in high-risk work, including gas-hazardous. This forces to improve, bring in line the regulatory framework to ensure the implementation of the "Law of Ukraine on Labor Protection" and create safe and harmless conditions for working and others.
Visual communicative practices in the context of the development of creative industries
Authors: Denysiyuk Zhanna
Published: November 2023

The purpose of the article is to investigate visual communicative practices in the context of the development of creative industries and to reveal the interdependence of their development. The research methodology involves the use of a set of methods: analytical, synthetic, cultural, semantic, which will allow a comprehensive consideration of the given problem and obtain substantiated research results. The scientific novelty consists in the systematic generalization of the formation of modern communication based on the predominant visual factor and to reveal the interdependence with the trends of increasing the development of the sphere of creative industries, as well as the discovery of a characteristic semantic field as a factor in the retransmission of sign-symbolic cultural codes and corresponding messages. Conclusions. The technological capabilities of the modern information environment and visual communicative practices provide wide opportunities for the application and creation of visual images and meanings, not only representing objective reality, but also providing communicative needs, forming a separate space of the informational and communicative cultural environment capable of transmitting ideas, meanings and values cultures with a predominance of the visual component. Communicative strategies of creative industries are mostly oriented on visual perception, have their own symbolic and semantic load, are a way of understanding current events and phenomena of socio-cultural life and serve as a means of spreading relevant creative narratives and ideas.

Keywords: visual culture, visual communicative practices, creative industries, sign-symbolic field, informational and communicative environment, cultural codes, messages, intercultural exchange.
Renewable Energy Use in Green Hotels for Sustainability: A Systematic Review
Authors: Ghimire Bhawani  Thapa , Muneenam Umaporn , Techato Kuaanan
Published: November 2023

This article studies the use of renewable energy in hotels as a means of promoting green practices and sustainability. The objective of the study is to previous research studies on renewable energy use in hotels and green practices. It is based on articles published in different journals between 2008 to 2023.  Out of the initial 16500 articles screened by Google scholars and 1373 from Base, the matched topic was 200, after further screening 61 articles were selected for final review. Renewable energy use and green practices have been adopted by many hotels with sustainability practices. The study shows that many hotels have adopted renewable energy and green practices to promote sustainability. However, future research should focus on the relationship between the specific types of renewable energy used in hotels and their impact on green practices and sustainability.
On the Time-varying Correlations and Hedging Effectiveness: An Analysis of Crude Oil, Gold, and Stock Market
Authors: Sahadudheen I. , Kumar P. K. Santhosh
Published: November 2023

In this paper, we examine the time-varying conditional correlation between international crude oil and gold prices, along with their volatilities, and Indian stock prices, using the DCC-GARCH model. The results suggest that the relationships between stock/oil, stock/gold, stock/oil volatility, and stock/gold volatility are time-varying. We then use the conditional variance and covariance derived from the DCC-GARCH model to measure the optimal portfolio weight and hedge ratios for stock/oil and stock/gold portfolios. Our findings indicate that, to minimize risk without reducing expected returns, investors should hold 37% and 49% of oil and gold, respectively, in their portfolios, relative to stocks. However, there is wide variation in the hedge ratios over time, suggesting that portfolio managers will need to rebalance portfolios frequently. Finally, we analyze correlation coefficients under various deciles of stock market returns, showing that gold can be used as a hedge against stock market declines. Given India's significant improvement in financial indicators, the results of this study will be useful for portfolio managers, risk managers, policymakers, and researchers.
Revisiting the Relationship between Energy Price Fluctuations, Forestry, Environmental Governance, and Energy Transition on Carbon Emissions: Evidence from Indonesia
Authors: Sosilawaty Sosilawaty , Rotinsulu Johanna Maria , Wahyudi Wahyudi , Sibot Yessiarie Silvanny , Rumbang Nyahu
Published: November 2023

This paper summarizes the role of energy price fluctuation, forestry, environmental governance, and energy transition on carbon emissions. Since, industrialization and population growth, both are the factors which according to literature are culprits of environmental pollution or sometimes benefits the environment, hence, the contradictory statement of scholars urges the authors to introduce these two variables as a control variable in proposed framework. To analyze the time series data in the time span of 1986-2019, the study used DARDL approach and from the results it has been revealed that energy price fluctuation, forestry, environmental governance, environmental governance, energy transition and population growth increases environmental protection by reducing harmful emission. Based on the results, an empirical baseline is provided to policy makers to strategize their agenda and promote the usage of renewable resources.
The Impact of Women’s Role in Corporate Governance on Carbon Disclosure Performance: A Descriptive Study of Top 100 Global Energy Leaders
Authors: Majid Nurshahirah Abd , Jaaffar Amar Hisham , Alzoubi Raed Hussam Mansour
Published: November 2023

Global leaders in the energy sector have significantly improved their environmental governance practices by incorporating women into their management teams to enhance carbon reporting practices. Based on a content analysis of annual reports, sustainability reports, and websites of the top 100 global energy leaders, we describe the trend of women of the board member who are industry experts, act as advisors, and pose as community leaders as well as the level of their carbon disclosure (CD) performances over the three years from 2018 to 2020. The results show that the number of women on the boards of the top global energy leaders is increasing in line with the level of carbon disclosure over three years. This development exemplifies the significance of women in leadership roles in the top global energy leader's journey to achieve net zero carbon emissions. Women in managerial positions are therefore crucial, and their presence will be one of the most critical influences in the energy sector's potential to enhance firm carbon performance and draw in more sustainable economic growth.
The Effects of Energy Prices on Oil-Gas Sectoral Stock Returns for BRIC Countries: Evidence from Space State Models
Authors: Helmi Mohamad Husam , Catik A. Nazif , Kosedagli Begum Yurteri , Kisla Gul Serife Huyuguzel , Akdeniz Coskun
Published: November 2023

This paper examines the effects of oil and natural gas prices on the oil and gas sectors of the BRIC countries (Brazil, Russia, India, and China) over the period over from 20013 to 2022. Unlike previous studies, it employs a time-varying capital asset pricing model based on the estimation of state-space mode. In brief, the findings highlight significant changes in the asset-pricing model parameters across all countries, indicating the limitations of using time-invariant estimates. Specifically, Brazil shows the highest volatility in oil price risk, followed by Russia, both being oil-exporting countries, while market beta values remain relatively stable. Time-varying estimates further suggest that natural gas parameters are relatively lower and less significant than those of oil prices. The Russian-Ukrainian conflict's energy crisis adversely affects the performance of oil and gas sectoral stock returns. This war has had a negative and significant impact on China's oil-gas stock return.
The Effect of Freight and Passenger Transportation and Energy Production on Economic Growth in the Framework of Macro-Economic Indicators: The Case of Kazakhstan
Authors: Dyussembekova Zhanar , Aidarova Aina B. , Balapanova Elmira , Kuatova Dilmina , Seitkhamzina Gaukhar Zh. , Bolganbayev Artur
Published: November 2023

This study analyzes the impact of freight and passenger transport and energy production on the economic growth of Kazakhstan in the period 1996-2021 using the VAR model. The analysis also includes control variables such as energy production, economic growth, exchange rates, inflation, interest rates, foreign direct investment, and unemployment. The research uses data from the World Bank, the Central Bank of Kazakhstan, and the National Bureau of Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The findings showed that freight transportation's current and one-term lagged value affects economic growth. After determining the significance of the effect, we examined its causality. The findings concluded that none of the independent variables had a causal effect on economic growth, whereas the model with all three independent variables has. The study chose a long study interval and determined the data frequency as annual. The data period may be chosen as monthly or quarterly, and the effects of fluctuations during the year may be examined separately. As the timeline graph shows, the Covid-19 period created a significant statistical disruption for passenger transport. Future researchers may analyze this effect using the series from the pandemic period.
Oil Volatility and Economic Growth: Evidences from Top Oil Trading Countries
Authors: Bagadeem Salim
Published: November 2023

The research attempts to delve further into the relationship of oil volatility and economic growth of top oil exporting and importing countries. Annual time series data on oil prices and economic growth (1987-2022) has been considered for top 5 exporting and importing countries. Basic statistical techniques and VAR regressions have been used to analyze data. The relationship between volatility and economic activity was found to be more significant for exporting countries rather than importing countries and a lag effect on 6 years is observed as optimal in this relationship. The global financial crisis was observed as an insignificant event on oil volatility (contrary to Ftiti et al.,2016). One of the significant finding of the study is that Japan’s economic growth is positively associated with the long term oil price volatility.
Nexus between Personal Remittances, Financial Deepening, Urbanization, and Renewable Energy Consumption in Selected Southeast Asian Countries: Evidence from Linear and Nonlinear Assessment
Authors: Farzana Nusrat , Qamruzzaman Md , Islam Yeasmin , Mindia Piana Monsur
Published: November 2023

This study examines the correlation between personal remittances, financial development, urbanization, and renewable energy utilization in Southeast Asian countries for the period 1991-2020. The study employs both linear and nonlinear analyses to examine the symmetric and asymmetric effects of these variables on renewable energy consumption. The results offer a plethora of significant insights. To commence, it is noteworthy that there exists an adverse correlation between financial deepening and the utilization of renewable energy, thereby challenging the prevailing notion that these two factors are positively interconnected. This demonstrates that the increasing financial growth in South Asian countries could potentially have adverse effects on the environment and hinder the implementation of renewable energy solutions. Furthermore, previous studies have demonstrated a positive correlation between urbanization and the utilization of renewable energy sources. The utilization of renewable energy technology is encouraged in cities due to factors such as population density, resource availability, and supportive legislation. Thirdly, personal remittances exhibit a varied impact, yielding favorable long-term consequences in Bangladesh and Pakistan, while conversely resulting in negative long-term effects in India and Sri Lanka. The findings indicate the necessity for governmental interventions aimed at mitigating the adverse effects of remittances, while simultaneously optimizing their positive influence on the utilization of renewable energy. Trade openness is positively correlated with long-term utilization of renewable energy, suggesting the potential for international trade in renewable energy resources. Nevertheless, it is worth noting that there is a negative correlation between trade liberalization and the utilization of renewable energy in the short term. This highlights the importance of implementing additional policy measures to address this issue. This study contributes to our comprehension of the intricate connections among personal remittances, financial deepening, urbanization, and energy consumption in Southeast Asian nations. It offers valuable insights for policymakers, researchers, and practitioners involved in advancing sustainable energy transitions and environmental sustainability.
Factors Affecting Energy-Saving Intentions among Youth in Vietnam
Authors: Le Thi Dieu Hien  , Huyen Khuu Ngoc , Hoang Thi Hong Loc
Published: November 2023

This study aims to demonstrate the factors that influence the energy-saving intentions of youth in Vietnam. The study applies an expanded Theory of Planned Behavior (TPB) model with the addition of moral norms, product quality, and energy policy to enhance the explanatory power of youth’s energy-saving intentions. The research data were collected using a stratified random sampling method with a sample size of 263 respondents from 5 provinces/cities: Ho Chi Minh City, Can Tho City, Binh Thuan Province, Dong Thap Province, and Kien Giang Province. By employing Structural Equation Modeling (SEM) method, the study has demonstrated the positive factors influencing youth’s energy-saving intentions, including attitudes towards energy-saving, perceived behavioral control, subjective norms, personal ethical standards, product quality, and energy policies. Among these factors, attitudes towards energy saving have the most impact on the energy-saving intentions of youth.
Evaluation of Offshore Project Development under Two Fiscal Regime in Indonesia
Authors: Mardiana Dwi Atty , Lumi Alfrets , Erwanto Edward , Selvi Selvi , Ihsan Alfandra , Fadillah Raden Adya
Published: November 2023

The general characteristics of deep water offshore field development are the uncertainty of geological conditions, high technology requirements and development costs, and volatility of oil and gas prices. Despite these challenges, the development of a deep water offshore field remains a strategic project for sustainable economic growth. This study will evaluate the impact of current fiscal of the three offshore field development and estimates the limits of oil and gas price, reserves, and expenses. The intention is to obtain the optimal conditions to encourage the development of new offshore fields. The approached will used a discounted cash flow modelling, followed by evaluate the profitability risk using deterministic and stochastic sensitivity analysis. Monte Carlo simulation used to take into account the uncertainty of several variables, such as oil and gas prices, operating costs, development costs, and reserves. The result shows that investment decisions for the development of new and/or extensions fields in offshore areas remain quite challenging economically, considering to the high development and operating costs, as well as fluctuating of oil and gas prices. The opportunity to obtain a positive net present value on new deep water offshore development fields is less than 41%, thus indicates that further initiative of cost efficiency and fiscal incentive is required in preparing investment planning of new deep water offshore field to compensate the high development and operational cost.
Gasoline Policy Simulation to Increase Responsiveness Using System Dynamics: A Case Study of Indonesia’s Gasoline Downstream Supply Chain
Authors: Mardiana Sylvia
Published: November 2023

In the supply chain, inventory planning plays a crucial role in achieving a balance between supply and demand. This study aims to investigate a supply chain policy that can achieve an impressive level of responsiveness, reaching close to 100%. Additionally, by focusing on the supply chain of RON 92 gasoline in Indonesia, the research aims to identify the key factors influencing responsiveness instability. To achieve these objectives, a simulation model was used to analyze the inventory policy, considering various factors such as demand, production, safety stock coverage, transportation delays, production capacity, and importation due to insufficient production capacity. The results showed that forecasting accuracy is the main determinant of the responsiveness rate. Moreover, maintaining a minimum inventory level of 28 days yielded an impressive 99% responsiveness rate, provided that the deviation in demand does not exceed 5% of the forecast. The analytical tool used in the system dynamics framework was a simulation, which significantly contributed to the research findings. However, it is important to note that this research has limitations, specifically in its inability to analyze crude oil supply. Therefore, further research is necessary to thoroughly examine this aspect and gain a more comprehensive understanding of the overall supply chain dynamics.
Causality of Bank Financial Performance, Green Bond, CSR, Green Financing Portfolio and CO2 Emissions in Transportation: Evidence from Indonesia
Authors: Sapiri Muhtar , Putra Aditya Halim Perdana Kusuma
Published: November 2023

This study aims to identify the causality between bank financial performance measured by Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), and Operating Expenses to Operating Income (BOPO) with Green Financing Portfolio and CO2 emissions in the transportation sector. This study uses descriptive quantitative research methods and content analysis of the Sustainability Report of Bank Mandiri, Indonesia for the period 2016 to 2022. In this study, we collected data from Bank Mandiri's financial statements which included information on ROA, ROE, NIM, and BOPO. In addition, we also collected CO2 emission data available from 2016 to 2022. The research sample is Bank Mandiri as one of the state-owned banks in Indonesia. We used purposive sampling technique to select samples that meet the inclusion criteria. The collected data was then analyzed using statistical methods to test the relationship between the variables involved, namely the bank's financial performance (ROA, ROE, NIM, and BOPO), Green Financing Portfolio, and CO2 emissions in the transportation sector. We use content analysis to illustrate the results of Bank Mandiri's financial statements in graphical form. The results of the analysis show that the increase in Green Bond that started in 2016 has a significant impact on the increase in fund allocation for Green Financing Portfolio. This indicates a positive causality between Green Bond and Green Financing Portfolio. In this context, the causality between Green Financing Portfolio and CO2 emissions can be explained through the influence of investment in green technology and sustainable practices. With significant funds allocated through the Green Financing Portfolio, companies and institutions can implement projects that aim to reduce CO2 emissions in the transportation sector. This means that the use of Green Bond as a sustainable funding source has the potential to reduce the negative impact of transportation on the environment.
On the Asymmetry of the Nexus between Governance and Environmental Pollution
Authors: Aziz Leila Taleb Marandi , Moghaddasi Reza , Moosavi Nematollah
Published: November 2023

Governance has attracted the attention of researchers as a multifaceted and effective variable in the economic performance of countries during last three decades. On the other hand, with the intensification of environmental concerns of governments, the analysis of the relationship between governance and the worsening of environmental sustainability indicators, such as the volume of pollutant emissions, has also become one of the study primacies of environmental economists. The present study aimed to investigate the aforesaid relationship for a group of developing and developed countries for the period 1990 to 2020. To this end, the Nonlinear Autoregressive Distributed Lag (NARDL) model based on panel data was used, which permits examination of the existence of non-linear relationships between variables. Main results show asymmetry in the magnitude of the effects of governance indicators on carbon dioxide emissions in developed and developing countries as the coefficient of the positive shock to economic governance for developed countries (0.52) is almost twice that of developing nations (0.27). We found that economic governance enhancement has a stronger impact on reducing environmental pollution and thus protecting the environment.
The Effectiveness of DL-Malic Acid on Fattening Performance and Rumen Parameters in Beef Cattle Rations Containing High Concentrated Feed and Dry Forage
Authors: KIYICI Osman , KOCAOĞLU GÜÇLÜ Berrin , KARA Kanber , ÖZKAYA Serkan , METİN KIYICI Jale
Published: November 2023

This study aimed to determine the effects of DL-malic acid supplementation in beef cattle rations containing
high concentrated feed and dry forage (alfalfa hay and wheat straw) on fattening performance, carcass traits and ru-
men parameters. In present study, 47 male beef cattle (19 Simmental, 28 Limousine) at the age of 14-16 months were
used. Cattle breeds were divided into two groups (0 and 30 g/day of DL-malic acid). In the present study, the differ-
ences in live weights, daily live weight gains and carcass weights of the control and DL-malic acid groups were found
to be significant in Simmental breed (P<0.05), but insignificant in Limousine breed. The beef cattle body measurements
(withers height, chest girth, rump height, body length) did not change with malic acid supplementation (P>0.05).The
malic acid addition increased the molarities of acetic, butyric, propionic and total volatile fatty acids (TVFA) and acetic
acid/ propionic acid ratio in the rumen fluid (P<0.05).The addition of malic acid had no significant effect on the number
of ciliated protozoa (Entodinium, Diplodinium, Isotricha and Dasytricha) and total bacteria count in the rumen fluid
(P>0.05). As a result, DL-malic acid supplementation to beef cattle ration varied with cattle breeds in terms of fattening
performance, while such supplementations had positive effect on fattening in Simmental breed. Besides, the increase
in TVFA and acetic, propionic and butyric acids, which are indicators of fiber and carbohydrate fermentation efficiency
in the rumen, shows that malic acid has a positive effect on feed digestion in the rumen.
IoT Botnet Detection Using Autoencoders and Decision Trees
Authors: Susanto Susanto , Arifin M. Agus Syamsul , Wijaya Harma Oktafia Lingga
Published: November 2023

The use of IoT devices has grown rapidly, leading to an increase in cyber attacks that pose greater security and privacy threats than ever before. One such threat is botnet attacks on IoT devices. An IoT botnet is a group of Internet-connected IoT devices infected with malware and remotely controlled by an attacker. Machine learning techniques can be employed to detect botnet attacks. The use of machine learning-based detection methods has been shown to be effective in identifying cyber attacks. The performance of the detection system in machine learning can be improved by utilizing data reduction methods. The data reduction process in classification is used to overcome the problem of scalability and computation resources in the IoT. This paper proposes a detection system using the Autoencoder reduction method and the Decision tree classification method. The test results demonstrate that the Deep Autoencoder algorithm can reduce data and memory usage from 1.62 GB to 75.9 MB, while also improving the performance of decision tree classification, resulting in a high level of accuracy up to 100%. The Autoencoder approach in conjunction with the Decision Tree exhibits superior capabilities compared to previous studies.
Determining Scholarship Recipients at STIT Prabumulih Using the AHP Method
Authors: Christian Andi , Ariansyah Ariansyah , Wahyuni Anggie Sri
Published: November 2023

In every educational institution, especially universities, there are lots of scholarships offered to students. Likewise with the Prabumulih College of Engineering (STIT Prabumulih) which has a scholarship program for its students by applying predetermined rules or criteria, for example, parents' income, parents' dependents, student achievement index scores, etc. Due to this, not all scholarship recipients who apply for scholarships will receive a scholarship. The problem faced by the campus today is in the process of winning scholarships. therefore a decision support system is needed that can assist in providing scholarship recipient recommendations. In this study the authors used the AHP method and the Expert Choice application. From the calculation results obtained by the specified criteria, the GPA of 0.389 is the highest priority weight compared to other criteria. Then, from the results of calculating student data or all alternatives, the total value of each student is obtained. It can be concluded that the one who can be recommended to get a UKT scholarship is Student A because it has the highest score, namely 16.6% of the total calculated.