bluuebunny/crossref_metadata_2025 huggingface dataset:
Supporting farming smart documentation system by modular blockchain solutions
Authors:   Departement of Computer Science and Systems Engineering, Graduate School of Creative Informatics, Kyushu Institute of Technology, Japan, Arsyad Andi Arniaty , Widayat Irawan Widi ,   Departement of Computer Science and Systems Engineering, Graduate School of Creative Informatics, Kyushu Institute of Technology, Japan, Köppen Mario ,   Departement of Computer Science and Systems Engineering, Graduate School of Creative Informatics, Kyushu Institute of Technology, Japan
Published: March 2022

For more than a decade, various farm-specific models have been developed by collaborating and integrating sensing technologies as a step toward successful data-farm documentation and effective decision-making. However, the stored and gathered data continues to rely on cloud infrastructure or centralized platform control, which is particularly vulnerable to threats such as data tampering, data distortion, confidentiality, and manipulation, which caused the farm product data difficult to trace to its provenance. In this paper, we propose a farm transaction model by demonstrating a flow of farm transaction simulation implicated by MBC sensing instrument with an array of sensors, controllers, networking hardware, computing equipment, and internal memory functions to enhance data integrity and security farm object. Based on the proposed model, a proof-of-concept experimental system called Encapsulating Block Mesh (EBM) integrates blockchain technology with the specific application case of cocoa production has been implemented. Results have shown that farm objects represented by MBC take turn recording information on the process of generating, transacting, and consuming a farm product and encrypting it into a block was validated and linked in the EBM with the hash of transaction data that connected to each cocoa farm object in a simulation environment.
FP-intuitionistic multi fuzzy N-soft set and its induced FP-Hesitant N soft set in decision-making
Authors:   Department of Mathematics, Bir Bikram Memorial College, India, Das Ajoy Kanti , Granados Carlos ,   Estudiante de Doctorado en Matemáticas, Magister en Ciencias Matemáticas, Universidad de Antioquia, Colombia
Published: March 2022

Intuitionistic fuzzy sets (IFSs) can effectively represent and simulate the uncertainty and diversity of judgment information offered by decision-makers (DMs). In comparison to fuzzy sets (FSs), IFSs are highly beneficial for expressing vagueness and uncertainty more accurately. As a result, in this research work, we offer an approach for solving group decision-making problems (GDMPs) with fuzzy parameterized intuitionistic multi fuzzy N-soft set (briefly, FPIMFNSS) of dimension q by introducing its induced fuzzy parameterized hesitant N-soft set (FPHNSS) as an extension of the multi-fuzzy N-soft set (MFNSS) based group decision-making method (GDMM). In this study, we use the proposed GDMM to solve a real-life GDMP involving candidate eligibility for a single vacant position advertised by an IT firm and compare the ranking performances of the proposed GDMM with the Fatimah-Alcantud method.
Evaluations of Meat Substitutes in Brazil: Differences between Vegetarians and Omnivores and the Role of Vegetarian Threat
Authors: Nezlek John B. , Tomczyk Joanna , Pimentel Tatiana C. , Cypryanska Marzena , da Cruz Adriano Gomes , Almeida Erick
Published: March 2022

Participants in the present study, 646 Brazilians, completed an online survey in which they indicated how they perceived plant-based meat substitutes and cultured meat, how much they knew about these products, and how willing they were to eat these products. They also described their diet, and they completed a measure of vegetarian threat. Regression analyses found that the willingness to eat both types of meat substitutes was related to how healthy, safe, and beneficial to the environment the products were perceived to be. Although plant-based meats were perceived to be healthier and safer than cultured meat for all participants, these differences were larger for vegetarians than they were for omnivores. Vegetarians were less likely to eat cultured meat than plant based meat, whereas the reverse was true for omnivores. Omnivores’ evaluations of both plant-based and cultured meat were negatively related to their perceptions of vegetarianism as a threat to their social values. Finally, the perceived benefits of plant-based and cultured meats, although positively related, represented separate latent factors. The results suggest that although plant-based and cultured meat are both meat substitutes, consumers may see them as meaningfully different products, and such differences may vary across different groups of consumers.
RESUME EKONOMI MAKRO SYARIAH
Authors: Huzain Hasriany
Published: March 2022

Makroekonomi merupakan bagian dari ilmu ekonomi yang mengkhususkan mempelajari mekanisme bekerjanya perekonomian sebagai suatu keseluruhan. Hubungan-hubungan kausal yang dipelajari dalam ilmu ekonomi makro pada pokoknya ialah hubungan-hubungan antara variabel-variabel ekonomi agregatif (menyeluruh) dalam perekonomian. Antara lain: pendapatan nasional, kesempatan kerja dan atau pengangguran, jumlah uang beredar, laju inflasi, pertumbuhan ekonomi, pendapatan nasional, tingkat suku bunga, kurs/nilai tukar, dan sebagainya.
Effect of exercise modalities on walking capacity in patients with intermittent claudication: A Network Meta-Analysis
Authors: Tremblay Renaud , Chénard Alexis Marcotte , Poirier Laurence , Hamelin Morrissette Jovane , Perron Pierre-Nicolas , Durivage Andréanne , Mampuya Warner , Huard Gabriel , Riesco Eleonor
Published: March 2022

Despite extensive research on the effect of supervised exercise therapy (SET) on walking performance in patients with symptomatic peripheral arterial disease (PAD), it remains unclear which training modality provides the greatest improvement in walking capacity. Thus, a random-effect network meta-analysis was performed to compare the effect of different types of SET on walking capacity in individuals with symptomatic PAD. The following databases were searched from January 1966 to April 2021: SPORTDiscus, CINAHL, MEDLINE, AMED, Academic Search Complete, and Scopus. Trials must include at least one type of supervised exercise therapy for patients with symptomatic PAD, with a minimum of 5 exercise sessions, and an objective measure of walking capacity. Eighteen studies were included for a total sample of 1135 participants. Intervention duration ranged from 6 to 24 weeks and included aerobic exercise (treadmill walking, cycling, Nordic walking), resistance training (lower and/or upper body), a combination of both, and underwater exercises. Results showed that combined training improved walking capacity to a comparable extent to aerobic walking (+122.0 [24.2-219.8] m vs. +106.8 [34.2-179.4] m), but with a larger effect size (1.20 [0.50-1.90] vs 0.67 [0.22-1.11]). Similar results were observed for the distance performed during the 6-minute walking test, with combined training being the most promising modality (+57.3 [16.2; 98.5] m), followed by underwater training (+56.5 [22.4-90.5] m) and aerobic walking (+39.0 [12.8-65.1] m). While combined exercise seems to be the most promising training modality, aerobic walking, and underwater training also improved walking capacity for patients with symptomatic PAD.
Equações Diferenciais Ordinárias: um estudo dirigido
Authors: Lobo Matheus Pereira
Published: March 2022

Este é um ensaio pedagógico minimalista (em símbolos) sobre equações diferenciais ordinárias.
Studi Kasus: Aplikasi Asuhan Keperawatan Jiwa Pada Tn. A Dengan Masalah Halusinasi
Authors: Pagan Sabran Hadi
Published: March 2022

Upaya Kesehatan Jiwa adalah setiap kegiatan untuk mewujudkan derajat kesehatan jiwa yang optimal bagi setiap individu, keluarga, dan masyarakat dengan pendekatan promotif, preventif, kuratif, dan rehabilitatif yang diselenggarakan secara menyeluruh, terpadu, dan berkesinambungan oleh Pemerintah, Pemerintah daerah, atau masyarakat
Cybernetics and Cybersyn notes, ”rainbow” books, standards : historiography III (8)
Authors: Akmut Camille
Published: March 2022

Computer science and technology :historiography III (8) Cybernetics and Cybersyn notes, the ”rainbow” books (DoD/NSA/NCSC),standards as primary sources, and finally Hackers.
采用“活体显微成像技术”判定中医概念的可能性
Authors: YANG Zheng-Ling
Published: March 2022

中医在中国存在超过了两千年。其中的经络、穴位等概念尚未得到现代科学的实证。一些经验表明：当身体出现某些疾病时，体表的某些区域会出现大体同步的异常，即穴位或经络。采用高精度的活体显微成像技术，有可能对“以痛为俞”类型穴位的存在性进行现代实证判定。
Impact of Debt Structure, State Ownership on Business Performance in Energy Enterprises: A Case Study in Vietnam
Authors: Hung Dang Ngoc
Published: March 2022

This study examines the impact of debt structure and the interaction of state ownership on business performance of energy enterprises in Vietnam's stock exchange. Data in the study were collected in the period 2009-2020 with 665 observations, the estimated results by the GLS regression model show that short-term debt and long-term debt have a negative impact on business performance when measured by ROA and Tobin's Q. In energy enterprises in Vietnam, the state often holds the dominant stock, so in this study, we consider the impact of the interaction margin of state ownership, this study finds that the interaction of state ownership and short-term debt have a positive effect on business performance measured by ROA. In addition, the study also looks into control variables, namely firm size, liquidity ratio and asset structure that have a positive impact on business performance. We provide some recommendations to improve capital structure and business performance: Energy companies need to build an optimal capital structure to maximize business value; Investors can quantify the model to decide whether or not to invest or how much to invest in an energy business; The government needs to look into and consider holding a controlling stake in energy enterprises that are really necessary and bring good business results.
PENGARUH PEMBERIAN REWARD DAN PUNISHMENT TERHADAP KINERJA KARYAWAN DENGAN MOTIVASI SEBAGAI VARIABEL INTERVENING
Authors: Hidayat Surahman , Fajariah Faizatul , Chair Agus Fachrul , Andarsa Dio Alif
Published: March 2022

Penelitian ini bertujuan untuk menguji pengaruh Reward dan Punishment terhadap kinerja karyawan dengan motivasi sebagai variabel intervening. Sehingga variabel penelitian ini terdiri dari 2 (dua) variabel independen yaitu Reward (X1) dan Punishment (X2), 1 (satu) variabel dependen yaitu kinerja karyawan (Y) dan 1 (satu) variabel intervening yaitu motivasi (Z). Populasi penelitian ini adalah karyawan PT. Astra Honda Motor cabang Praya yang berjumlah 60 orang karyawan. Sampel diambil dengan menggunakan teknik Disproportionate Stratified Random Sampling dengan jenis Probability Sampling. Disproportionate Stratified Random Sampling yaitu teknik pengambilan sampel yang digunakan apabila memiliki populasi yang tidak homogen dan berstrata namun kurang proporsional. Sampel yang digunakan dalam penelitian sebanyak 52 orang karyawan atau responden. Data diperoleh dengan menyebarkan 52 kuesioner pada responden (karyawan) yang ada di PT. Astra Honda Motor cabang Praya. Hasil pengisian kuesioner dianalisis atau di uji menggunakan program SPSS 16.0. Hasil penelitian ini menunjukkan bahwa variabel Reward (X1) dan Punishment (X2) berpengaruh positif dan signifikan terhadap motivasi (Z). Kemudian motivasi (Z) berpengaruh positif dan signifikan terhadap kinerja karyawan (Y). Reward (X1) dan Punishment (X2) berpengaruh positif dan signifikan terhadap kinerja karyawan (Y), serta Reward (X1) dan Punishment (X2) tidak berpengaruh terhadap kinerja karyawan (Y) melalui motivasi (Z).
Ô nhiễm môi trường có thể thúc đẩy di cư và chảy máu chất xám
Authors: Hanh Ha Thi Hong
Published: March 2022

Theo số liệu nghiên cứu, Việt Nam thường xuyên đứng trong nhóm 10 nước có các thành phố có chỉ số ô nhiễm không khí (AQI) cao nhất châu Á. Ô nhiễm không khí gây ra nhiều rất nhiều hệ lụy, nó tác động xấu đến sức khỏe con người và được xem là tác nhân thúc đẩy sự di cư và chảy máu chất xám. (Hà Thị Hồng Hạnh, Đỗ Thị Hồng Uyên - ĐHQG Hà Nội; Kinh tế và Dự báo, ngày 20-3-2022)
Masalah Ekonomi Makro
Authors: Jannah Miftahul
Published: March 2022

Makro ekonomi adalah cabang ilmu yang fokus mengkaji ekonomi secara agregatif (menyeluruh). Objek pembahasan ekonomi makro diantaranya pertumbuhan ekonomi rendah, pengangguran tinggi, inflasi tinggi dan diferensiasi nilai tukar mata uang. Faktor utama darimasalah-masalah tersebut adalah kelangkaan (scarcity) dan pilihan (choices).
Clearer Analysis, Interpretation, and Communication in Organizational Research: A Bayesian Guide
Authors: Courey Karyssa , Oswald Frederick Louis , Culpepper Steven
Published: March 2022

Historically, organizational researchers have fully embraced frequentist statistics and null hypothesis significance testing (NHST). Bayesian statistics is an underused alternative paradigm offering numerous benefits for organizational researchers and practitioners: e.g., accumulating direct evidence for the null hypothesis (vs. ‘fail to reject the null’), capturing uncertainty across a distribution of population parameters (vs. a 95% confidence interval on a single point estimate) – and through these benefits, communicating statistical findings more clearly. Although organizational methodologists in the past have promoted Bayesian methods, only now is easy-to-use JASP statistical software available for more widespread implementation. Moreover, the software is free to download and use, is menu-driven, and is supported by an active multidisciplinary user community. Using JASP, our tutorial compares and contrasts frequentist and Bayesian approaches for two analyses: a multiple linear regression analysis and a linear mixed regression analysis.
Temporal velocity variations in the northern Hikurangi margin and the relation to slow slip
Authors: Wang Weiwei , Savage Martha , Yates Alexander , Zal Hubert , Webb Spahr , Boulton Carolyn , Warren-Smith Emily , Madley Megan , Stern Tim , Fry Bill , Mochizuki Kimihiro , Wallace Laura
Published: March 2022

Slow slip events (SSE) have been studied in increasing detail over the last 20 years, improving our understanding of subduction zone processes. Although the relationship between SSEs and the physical properties of their surrounding materials is still not well-understood, the northern Hikurangi margin in New Zealand is the site of relatively shallow ( < 10 km deep), frequent SSEs, providing excellent opportunities for near-field investigations. From September to October 2014, an SSE occurred with more than 250 mm slip, and was recorded successfully by the Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip (HOBITSS) deployment. This study applies scattered wave interferometry to ambient noise data acquired by nine HOBITSS ocean bottom seismometers (OBS) to study the seismic velocity variations related to the SSE. Single station cross-component correlations are computed within a period band that focuses on the upper plate in our study region. The average velocity variations display a decrease on the order of 0.05% during the SSE, followed by an increase of similar magnitude afterwards. We suggest two possibilities. The first possibility, which has been suggested by other seismological observations, is that the SSE causes a low-permeability seal on the plate boundary to break. The break allows fluid to migrate into the upper plate, causing a seismic velocity decrease during the SSE because of increased pore fluid volume in the upper plate. Under this model, after the SSE, the fluids in the upper plate diffuse gradually and the velocity increases again. The second possibility is the velocity changes are related to changes in crustal strain during the slow slip cycle, whereby elastic strain accumulates prior to the SSE, causing contraction and reduction of porosity and therefore increase of velocity above the SSE source (the seismic velocity increases between SSEs). During the SSE the upper plate goes into extension as the elastic strain is released, which results in dilation and a porosity increase (seismic velocity reduction). After the SSE, stress and strain accumulate again, causing a porosity decrease and a velocity increase.
Uma visão jurídica da Norma Missionis e a Tria Munera Christi pela tutela do direito/dever dos fiéis aos bens espirituais na Igreja
Authors: Fénélus Saint-Luc
Published: March 2022

O presente trabalho trata sobre a Norma Missionis e sua relação com a missão surgida do sacerdócio comum, fazendo, do batizado, participante do tríplice múnus de Cristo, Sacerdote comum, Profeta e Rei, para santificar, ensinar e governar. Estas três funções também servem para tutelar e garantir os direitos e deveres dos Fiéis aos bens espirituais, bem como é o dever de evangelizar da Igreja (cf. CIC 83, cânn. 843 e 747; cân. 211). No desenvolvimento deste trabalho, o dever constitucional do direito é aperfeiçoar a missão da Igreja para proclamar o Evangelho, seguindo o comando do próprio Cristo, da qual todo cristão Fiel participa pela recepção do Batismo. Este direito-dever legal é exigível para alguns Fiéis concretos, isto é, Fiéis verdadeiros, não abstratos, e que não estejam proibidos pela Lei, especialmente para os legítimos pastores da Igreja, em virtude do Sacramento da Ordem recebido. Trata-se de um direito-dever o qual tem limites intrínsecos e extrínsecos, e deve ser protegido pela tutela da norma da missão pelo direito da Igreja. Pela missão da Igreja na aplicabilidade da Norma Missionis que tutela a legislação, o Povo de Deus pode ter acesso a tais bens espirituais pela sua santificação e salvação (CIC 83, cân. 213). A organização das missões pelas autoridades competentes da Igreja para alcançar tais fins é um bem para o Povo de Deus. Por isso, se faz necessário conhecer, entender e aplicar bem o direito da Igreja, o Direito Canônico.
Un édifice au nom du roi Héqataoui (Ahmosé Ier) dans la nécropole thébaine
Authors: Colin Frédéric
Published: March 2022

While there is massive evidence of the mortuary cult of Ahmose I’s family at Abydos, in the form of pyramids, cult buildings and texts, the Theban necropolis is virtually devoid of archaeological testimony on the building activities of the founder of the Eighteenth Dynasty. However, the king’s mummy was discovered in Thebes, in the royal cache (TT 320), together with other members of his entourage. This apparent paradox is puzzling and has indeed inspired various hypotheses to explain this split in the documentation between Thebes and Abydos. The discovery in 2019 of nine mudbricks stamped with the name of a king, called simply HqA tA.wy, in the French excavations in al-Asasif, provided new data to resolve this question. This paper aims to support the identification of King Ahmose as the author of these bricks and to shed light on the ideological value of this eponymous title, based on the analysis of a key passage in the Ahmose Stele from Karnak (Cairo Museum, CGC 34001). It will also discuss the issue of the displacement of materials and royal bodies organised by the public authorities and search for a possible initial burial context of Ahmose’s mummy in light of new evidence of his building activities in the necropolis of the Theban Residence.
ANALYTICAL AND METROLOGICAL STUDIES OF BIOGAS COMPRESSIBILITY COEFFICIENT AT LOW OPERATING PRESSURES
Authors: Seredyuk O. Ye. , Malisevuch N. M. , Seredyuk D. O. , Malisevuch V. V.
Published: March 2022

The relevance of determining the compressibility coefficient of biogas for the conditions of its accounting is considered. The analysis of the known Ukrainian and foreign methods and normative documents at definition of physical and chemical parameters of gas mixes, including natural gas and biogas is stated. The absence of current regulations on determining the coefficient of compressibility of biogas, which is necessary for the implementation of its correct and accurate accounting. The essence of the developed algorithm for determining the compressibility coefficient of biogas, which is characterized by a reduced content of methane and increased content of carbon dioxide, nitrogen, oxygen, as well as the presence of water vapor in the biogas. A practical algorithm for determining the compressibility coefficient of biogas has been developed, which involves the use of a relatively simple algorithm for calculating it based on the volume content of biogas components taking into account their critical parameters and pseudo-pressure and temperature values for specific parameters of absolute biogas pressure and temperature. The algorithm is implemented taking into account the information given in specialized reference books, in particular graphical dependences of change of coefficient of compressibility of a mix of gases on the resulted values ​​of their temperature and pressure. An example of calculating the coefficient of compressibility of biogas for the conditions of setting its component composition. Simulation of the change in the compressibility coefficient of biogas from its relative humidity, as well as modeling of this coefficient from the operating pressures and temperature of biogas and its methane content. The metrological analysis of the developed technique and algorithm of determination of coefficient of compressibility of biogas taking into account presence in it of moisture is carried out.
Initial stages of electrocrystallization of nickel, iron and nickel-iron alloy on a glassy carbon electrode in an electrolyte based on a eutectic mixture of choline chloride and ethylene glycol
Authors:   Ukrainian State University of Chemical Technology, Danilov F.I. , Bogdanov D.A. , Protsenko V.S. ,   Ukrainian State University of Chemical Technology
Published: March 2022

The kinetics and mechanism of the initial stages of electrocrystallization of nickel, iron and nickel-iron alloy were characterized for the process of electrolytic deposition from a solution based on deep eutectic solvent ethaline (liquid mixture containing choline chloride and ethylene glycol at a molar ratio of 1:2, respectively). The theoretical model developed by Scharifker and Hills was used to interpret the obtained experimental data. It was shown that the electrodeposition of nickel and iron obeys the patterns of three-dimensional instantaneous and progressive nucleation, respectively. It was concluded that the formation of iron nuclei occurs at a significantly lower rate than in the case of nickel. The kinetics of the initial stages of Ni–Fe alloy deposition obeys the mechanism of instantaneous nucleation. Thus, in the case of electrolytic deposition from ethaline-based solutions on a glassy carbon electrode, nickel imposes on iron not only its own region of electrode potentials where alloy deposition occurs, but also the type of mechanism of nucleation in the course of codeposition.
Land-use in the Electric Colombian System: Hidden Impacts and Risks of Large-scale Renewable Projects
Authors: Ramirez-Tovar A.M. , Moreno-Chuquen Ricardo , Moreno-Quintero Renata
Published: March 2022

In the sustainable development era, massive land-use for electricity production represents a crucial challenge for environmental and social systems. Available information about the use of land in this sector is limited, for that reason in this paper we include the power density methodology to evaluate land-use in Colombia to produce electricity. The power density metric depicts the relation between energy produced and area used in this process, considering extraction-conversion-storage. The analysis between power electricity generation and land-use is made for the Colombian electric system, finding that there is no direct relationship between the area occupied by a generation plant and the electricity produced, since the evidence does not show that at larger areas greater power is obtained. Hydropower plants have large spectrum values of power densities, depending on the dam construction purpose (river-flow control). Fossil-fired power plants require less land for its production even including the fuel extraction area. Photovoltaic and wind-power plants in this comparison have the lowest power density values, accordingly, they require far larger areas and represent a risk for sustainability in this perspective.
Analysis of Some Energy and Economics Variables by Using VECMX Model in Indonesia
Authors: Usman Mustofa , Loves Luvita , Russel Edwin , Ansori Muslim , Warsono Warsono , Widiarti Widiarti , Wamiliana Wamiliana
Published: March 2022

Time series modeling analysis is one of the methods to forecast based on past data and conditions. The analytical tool that is commonly used to forecast multivariate time series data is the Vector Autoregressive (VAR) model. However, when the variables have cointegration and stationary at the first difference value, then the VAR model is modified into the Vector Error Correction Model (VECM). In VECM, all variables can be used as endogenous variables. If exogenous variables are involved in the VECM model, then the model is called as Vector Error Correction Model with Exogenous variables (VECMX). In the present study, a time series modeling analysis was used to analyze the price of gasoline, the money supply in a broad sense (M2), oil and gas exports, and consumption imports over the years from 2012 to 2020. By using information on the criteria of Akaike Information Criterion Corrected, Hannan–Quinn Criterion, Akaike Information Criterion, and Schwarz Bayesian Criterion, the best VAR(p) model is obtained with order 3, or lag 3. Based on the VAR(3) model, the cointegration test is conducted, and the result shows that there is a long-term relationship among variables, namely, there is a cointegration relationship between variables with rank = 1. Based on the cointegration rank = 1 and the smallest value of the information criteria and comparison of some candidate best models, namely, VECMX(2,1), VECMX(2,2), VECMX(3,1), VECMX(3,2), and VECMX(4,1), we found that the best model is VECMX(3,1) with lag 3 for endogenous variables and lag 1 for exogenous variables. Based on this best model, further analysis of Granger causality, Impulse Response Function (IRF), and forecasting is discussed.
Analysis of Data Inflation Energy and Gasoline Price by Vector Autoregressive Model
Authors: Saib Nairobi , Ambya Ambya , Russel Edwin , Paujiah Sipa , Pratama D. N. , Wamiliana Wamiliana , Usman Mustofa
Published: March 2022

The study of multivariate time series data analysis has become many topics of research in the fields of economics and business. In the present study, we will analyze data energy inflation and gasoline prices of Indonesia over the years from 2014 to 2020. The purpose of this study is to obtain the best model of the dynamic relationship between inflation and gasoline prices. The dynamic modeling that will be used in this research is modeling using the Vector Autoregressive (VAR) model. From the analysis results, the best model is the VAR model with order 3 (p=3), VAR(3). Based on the best model, VAR(3), further studies will be discussed with regard to Granger causality analysis, Impulse Response Function, and Forecasting.
Implementation of the Hierarchical Analytical Process in the Selection of the Best Source of Renewable Energy in the Colombian Caribbean Region
Authors: Moreno Rocha Christian Manuel , Alvarez Jose Ricardo Nunez , Castillo Daniel A. Diaz , Domingue Esnaider D. Florian , Hernandez Juan Camilo Barrera
Published: March 2022

In this study, the Analytic Hierarchy Process (AHP) methodology is implemented to provide decision criteria in the selection, planning, and development of electric power generation projects from renewable energy sources in the Caribbean region of Colombia. Six sources of renewable energy; biomass combustion; anaerobic digestion of biomass; biogas landfills; waste incineration; Photovoltaic energy and solar thermal radiation were considered in this study due to their energy potential in rural areas and areas not interconnected to the national electricity system. To determine the order of priority in the development of energy conversion technologies, a questionnaire was developed and sent to a group of experts. Given the need to generate electricity sustainably, the information was analyzed under four main criteria: technical, environmental, social, and economic. Sixteen additional sub-criteria were selected based on a literature review. In general, the economic criterion is the most relevant in the area due to the high investment and operating costs of electricity generation. The social criterion highlights the opportunity to create new jobs, while the environmental criterion highlights the component of substitution of renewable energy, a key aspect in the diversification of the energy matrix, which is part of the country's political agenda. Regarding the technological component, photovoltaic energy seems the most favorable due to its low environmental impact and the considerable reduction in prices experienced by the solar panel market in recent years.
A System Dynamics Model for the Analysis of CO2 Emissions Derived from the Inclusion of Hydrogen Obtained from Coal in the Energy Matrix in Colombia
Authors: Insuasty-Reina Jeniffer Guadalupe , Osorio-Gomez Juan Carlos , Manotas-Duque Diego Fernando
Published: March 2022

The environmental effects generated by the energy sector worldwide have become increasingly evident, raising the concerns of governments, industries and the research sector for addressing this problem. In the search for alternatives, hydrogen technology has drawn attention for its benefits as a new energy vector, since it is highly efficient and clean, and has multiple sources of generation. In Colombia, the possible generation of this energy vector from coal gasification has been estimated, since coal is a resource that is abundant in the territory. However, as a technology that uses a fossil resource, an analysis of the environmental effects of its implementation is necessary. The present work uses a system dynamics model to analyse the carbon dioxide (CO2) emissions that would be generated in this process in the national context. Through simulation scenarios, a comparative analysis is carried out of the effects of the current use of coal within the energy matrix versus the use of this resource for hydrogen generation in the medium and long term. The results indicate that the implementation of this technology accompanied by a minimum CO2 capture process would represent a reduction in the total emissions of the energy matrix.
The Challenges and Opportunities of Electricity Generation on Economic Growth in South Africa: An ARDL Approach
Authors: Hlongwane Nyiko Worship , Daw Olebogeng David
Published: March 2022

This study examines the challenges and opportunities of electricity generation from coal on growth of South African economy. The study utilizes the available annual time series data collected from secondary sources (World Bank) spanning for the period from 1971 to 2015. The study employs the Autoregressive Distributed Lag (ARDL) model and an Error Correction Model (ECM) to analyse the challenges and opportunities of coal-fired electricity generation on growth South African economy. Statistical results from revealed a positive statistically insignificant short run and positive statistically significant long run relationship between electricity generated from coal and economic growth in South Africa. The policy implication from this study is that the policy makers need to acknowledge the positive contribution of coal-fired electricity generation and revise policies on decommissioning of these powerplants. The policymakers should propose and implement policies that encourage coal-fired electricity generation in a way that is environmentally friendly as it boosts economic growth in South Africa.
Analysis of Factors that Interfere with the Regulatory Energy Process with Emphasis on the Energy Cloud
Authors: De Carvalho Patricia Stefan , Siluk Julio Cezar Mairesse , Schaefer Jones Lui­s
Published: March 2022

The Energy Cloud (EC) is an emerging theme that has emerged as an option to the issues of managing energy supply and demand, since it makes use of tools that streamline this process, such as cloud computing, data processing, and smart devices. Efforts need to be focused on the regulation of this energy management model and understanding what affects or delays this process which is essential for the diffusion of EC. Thus, the objective of this paper is to present and discuss, through a systematic literature review, the factors that interfere in the energy regulatory process with emphasis on EC. This research resulted in 29 Critical Success Factors (CSF), which, according to similar characteristics, were grouped into 7 Fundamental Points of View (FPV): economic, personal or socio-cultural, availability, institutional and market, regulatory infrastructure, external and information factors, and ideology. The CSFs and FPVs were cited 183 times in the selected articles. The analysis of these factors contributed to the identification of barriers that affect the energy regulatory process, delaying the development towards an EC environment, and discussed the main regulatory challenges and opportunities in this area.
Adaptability to Green Building Regulations in Oil-Producing Countries: Obstacles and Solutions
Authors: Alshamsi Hamda Obaid , Alshehhi Maitha Abdullah , Sakhrieh Ahmad
Published: March 2022

The sustainable building approach in the United Arab Emirates (UAE) has encountered impediments, as it is a new practice for society in UAE. Here, traditional construction methods are still adopted without considering environmental issues and growing concern over climate change. To overcome these problems, the Ras Al Khaimah Municipality launched new green building regulations called Barjeel in 2018. It is set to reduce 30% of energy and water consumption for new buildings. Based on the survey and interview results from 38 residents, consultants, and contractors, this study aims to identify the adaptability of Barjeel and the reasons behind the denunciation of these new regulations, and ultimately proposing some solutions to overcome the barriers. The findings from this study reveal that the surveyed population is aware of the concepts of green building practice but are also cognizant of the constraints that prevent its application such as high costs, availability of green and sustainable materials as well as expert personnel and skilled labour. Additionally, there are valid technical constraints and supply chain issues that should be addressed so that the basic infrastructure required to establish green building practices and help them flourish is in place and can be used for widespread green and sustainable building in the UAE
Feasibility Study of Fuel Oil and Coal Replacement with Natural Gas in Thailand Context
Authors: Nakapreecha Nitida , Vivanpatarakij Supawat , Audomvongseree Kulyos
Published: March 2022

Natural gas is a viable option to oil-based fuels and coal as it has advantage on reliability, domestic availability and more environmental friendliness.  This paper assesses the feasibility of replacing fuel oil and coal with natural gas in Thailand's industrial sector.  The study covers the identification of regulatory limitation, the projection of fuel demand and prices, and the assessment of financial and economic feasibility of the fuel replacement project.  The financial feasibility study shows interesting investment opportunities only for fuel oil users located within 50 kilometers from the compressed natural gas distribution center.  On the contrary, the economic feasibility study shows that there is an outstanding value for investment, particularly for the coal replacement.  Consequently, it needs strong measures from the government to drive the replacement.  The results of the study are expected to be beneficial in energy management and planning for industrial enterprises.  They are also expected to assist the government in developing policies to support the country's long-term demand for natural gas.
Effect of COVID-19 on Energy Sector in Jordan
Authors: Myyas Ra’ed Nahar , Almajali Mohammad R.
Published: March 2022

This study aims to analyze the impact of the COVID-19 on the energy sector in Jordan. The steps taken by the Jordanian governments to mitigate the economic and financial impacts that would enhance the resilience of the energy sector was considered. Deductive and inductive analysis methods of were used. Such methods aided to systematically consider the economic consequences of the COVID-19. The results of this study showed that the COVID-19 led to a significant decrease in energy consumption, a decline in economic growth, a significant rise in unemployment, an increase in market instability, and a decrease in the financial position of companies. The recommendations concluded that Jordan should begin to change its policies according to the new data, and take Measures to advance the energy sector by reducing fuel consumption and directing investment in energy saving policies and infrastructure equipment in parallel with the population boom in Jordan.
Determinants of Energy Consumption in Egypt “New Approach”
Authors: Abdallah Mostafa Mohammed Galal , Selmey Mousa Gowfal Selmey Gowfal
Published: March 2022

In Egypt, policymakers are particularly concerned about energy consumption. So, The goal of this study is to look into the factors that influence Egyptian energy consumption. The study applied a new approach known as artificial neural network (ANN) from 2000 to 2020 to achieve this goal. according to the results of this study, global energy prices are the most important determinants of Egyptian energy consumption, followed by economic growth and trade openness. Other factors such as population growth, inflation, urbanization, and industrialization, which have been highlighted in other papers, are not determinants of Egyptian energy consumption. this research recommends that need to follow policies that rationalize energy consumption and improve the efficiency of its use
Building Energy Consumption Prediction Using Neural-Based Models
Authors: Buturache Adrian-Nicolae , Stancu Stelian
Published: March 2022

In the recent years digital transformation became one of the most used approaches in building energy consumption optimization. Increased interest in improving energy sustainability and comfort inside buildings has created an opportunity for digital transformation to build predictive tools for energy consumption. By retrofitting or implementing new construction technologies nowadays the quantity and quality of the operational data collected has reached unprecedented levels. This data must be consumed by implementing powerful predictive tools that will provide the needed level of certainty. Adopting Six Sigma's Define, Measure, Analyze, Improve, Control (DMAIC) cycle as predictive analytics framework will make this paper accessible for both professionals working in energy industry and researchers that are developing models, creating the premises for reducing the gap between research and real-world business, guiding the use of data. Moreover, the selected strategy for preprocessing and hyperparameter selection is presented, the final selected models showing scalability and flexibility. At the end the architectures, performance and training time are discussed and then coupled with the thought process providing a way to weigh up the options. Building energy consumption prediction, it is a relevant and actual topic. Firstly, on European level, meeting the targets set by the new European Green Deal for buildings sector is relying heavily on digitization and therefore on predictive analytics. Secondly, on Romania level, the liberalization of the Energy market created an unpreceded energy price increase. The negative social impact might be diminished not only by the price reduction, but also by understanding how the energy is consumed.
Asymmetric Effect of Oil Prices on Export Performance: The Role of Export Financing Schemes in Pakistan
Authors: Kousar Shazia , Khalid Iqra , Ahmed Farhan , Ramos-Requena Jose Pedro
Published: March 2022

This study aims to check the impact of export financing (EF) schemes like EF-25, oil prices, exchange rate, and foreign direct investment on export performance in Pakistan. Study utilized textile exports and non-textile exports to measure the export performance in Pakistan. Data for modeled variables are taken from the State Bank of Pakistan (SBP), and International Financial Statistics (IFS) for the period of 2004 to 2020. This study employed Auto Regressive Distributive Lags (ARDL) and Non-Linear Auto Regressive Distributive Lags (NARDL) models from 2004 to 2020 to check the symmetric and asymmetric impact of modeled variables on export performance in Pakistan. It is observed that there is a positive and significant impact of export financing schemes and oil prices on the performance of the export of Pakistan in both time regimes before and after the world financial crisis 2008. Asymmetric effects showed that positive shock in oil prices leads to a positive change in exports and negative shock also leads to a positive change in exports. The impact of export financing on the textile sector is significant and positive but it is insignificant in the case of oil prices. Whereas the impact of oil prices on non-textile exports of Pakistan is significant and a positive rather insignificant impact of export financing is found for non-textile exports. According to the results, export financing is favorable for Pakistan's export performance so it should be encouraged and more schemes should be introduced.
Green Economy: Bibliometric Analysis Approach
Authors: Alsmadi Ayman Abdalmajeed , Alzoubi Marwan
Published: March 2022

With the increased efforts and focus on sustainable development and changes in the climate, literature has given more attention to the green economy. However, researchers have not yet been totally able to consensus on the definition of this phenomenon. The study presented in the paper provides an overview of the advancements present in research on the green economy for the period from 1990 to 2020. Using a bibliometric analysis approach, the paper summarizes the trends of development and the status quo of the green economy. The aim is to provide the reader with guidance and a solid conceptual framework for future research.
The Asymmetry Effect of Oil Consumption, Unemployment and Broadband Technology on Economic Growth in Indonesia
Authors: Rumbia Wali Aya , Muthalib Abd Azis , Abbas Bakhtiar , Adam Pasrun , Jabani Asrul , Pasrun Yuwanda Purnamasari , Muthalib Dzulfikri Azis
Published: March 2022

This research aims to examine the asymmetry effect of oil consumption, unemployment, and broadband technology on economic growth in Indonesia. Data on these attributes were annually collected from 2000 to 2019. The effect test result using the nonlinear autoregressive distributed lag (NARDL) model showed that oil consumption and unemployment affect economic growth asymmetrically in the long and short term. Meanwhile, broadband technology only affects economic growth only in the long term, and this effect is positive.
Differences in the Determinants of National Reserves across G7 and Rising Power Countries
Authors: Suleymanli Javid
Published: March 2022

The article investigates the macroeconomic factors influencing national reserves in G7 and Rising Power countries. Factors that have been demonstrated and theoretically explained by many empirical investigations were used in the study. Two distinct panel data analyses were used with a half-century-old data collection for this aim. For each nation group, four distinct specifications have been developed. Both the System-GMM method, which is one of the dynamic panel data methodologies, and the Fixed Effects method were used to estimate the generated specifications. Robustness was applied to the coefficients produced in terms of consistency by employing other variables such as external debt crisis, population, exchange rate regime, and exchange rate crisis. As a result, it is concluded that FDI and deposit interest rates have a negative influence on national reserves in G7 countries while having a beneficial effect for Rising Power countries.
Energy Financing in Colombia: A Bibliometric Review
Authors: Niebles-Nunez William , Niebles-Nunez Leonardo , Babilonia Lorena Hoyos
Published: March 2022

This article presents a bibliometric review on the researching topic "Contribution to the competitiveness of energy financing in the Colombian business sector", limited from 2011 to 2021. The review was carried out using the Scopus database, obtaining a set of 76 studies in Colombia within the 2609 documents analyzed. After having applied the different filters and search strategies, these studies were analyzed using the Bibliometrix package of the statistical software R. The results identified, for example, that the world production of publications shows an upward trend, with the largest number of scientific investigations presented in 2020. It was also found that one of the most relevant sources is the International Journal of Energy Economics and politics, with five published documents. On the other hand, the most cited local source is Energy Policy magazine, with 90 citations and that the most cited local authors are Cadavid L.
Parametric study of a Hybrid Renewable Energy Power Generation System in the Colombian Caribbean Region
Authors: Rojas Jhan Piero , Garcia Gonzalo Romero , Castillo Dora Villada
Published: March 2022

The global environmental problems have increased the interest in renewable energies, in this article a wind-solar hybrid system is proposed as an alternative for energy production. To carry out this study, the research was divided into three stages, the first one consists of determining the behavior of a solar and wind system, the second stage focuses on determining the ideal location to implement the hybrid system and the third stage determines the composition of wind and PV devices that offers greater efficiency. After completing the three stages proposed above, the optimal locations for the implementation of a wind-solar hybrid system are Simón Bolívar and Puerto Bolívar.
Competition Determinants of Eurasian Economic Union Oil and Gas Companies
Authors: Damira Aubakirova , Narimanovna Jaxybekova Galiya , Lyazzat Yespergenova , Rustamov Bezhan , Faizulayev Alimshan , Bekun Festus Victor
Published: March 2022

The present study examines the competition determinants of Eurasian Union oil and gas companies for the period of 2012–2020. The study covers a total of 24,813 firm-year observations. This study applied the GMM two-step estimation to capture the endogeneity problem. Our results reveal that leverage, profitability, and efficiency are the main competition determinants. In the Eurasian Union, large oil and gas companies are less competitive. It may be caused by higher corporate bureaucracy and high transaction costs. Oil and gas companies with an efficient level of sales are more competitive in the market. Also, the increase in leverage provides a tax shelter. The price cost margin, the Boone Indicator, and the firm’s income total income ratio are confirmed as efficient competition indicators.