bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH ARUS KAS OPERASI, ARUS KAS INVESTASI, DAN ARUS KAS PENDANAAN TERHADAP PROFITABILITAS PADA PERUSAHAAN CONSUMER CYCLICALS YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)
Authors: Angelia Bella , Merina Citra Indah
Published: November 2023

Penelitian ini bertujuan untuk mengetahui apakah arus kas dari aktivitas operasi, investasi dan pendanaan mempengaruhi profitabilitas. Objek dalam penelitian ini diambil objek dari perusahaan consumer cyclicals Sub. Tekstil yang terdaftar pada Bursa Efek Indonesia (BEI) selama periode 2020-2022. Populasi pada penelitian ini adalah perusahaan consumer cyclicals sub.tekstil yang terdaftar di Bursa Efek Indonesia (BEI) periode 2020-2022. Data yang digunakan diambil dari Indonesia Stock Exchange (IDX). Populasi yang akan diamati dalam penelitian ini adalah seluruh perusahaan consumer cyclicals yang terdaftar di Bursa Efek Indonesia pada tahun 2020-2022 dengan jumlah populasi 22 perusahaan. Metode pemilihan 20 sampel pada penelitian ini ditentukan dengan metode purposive sampling dengan kriteria Perusahaan memperoleh laba untuk tahun 2020-2022, Laporan keuangan disajikan dalam mata uang Rupiah, Data yang dibutuhkan dalam penelitian ini tersedia pada laporan keuangan. Data yang digunakan dalam penelitian ini adalah data sekunder yang merupakan data tidak langsung. Pengolahan dan penganalisaan data dalam penelitian ini dengan menggunakan bantuan program SPSS (Statistical Product and Service Solutions) versi 27. Hasil pengujian secara parsial menunjukkan bahwa variabel arus kas operasi, arus kas investasi, dan arus kas pendanaan tidak terdapat pengaruh yang signifikan terhadap profitabilitas.
MOTIF DAN DAMPAK PERNIKAHAN DINI DI INDARUNG NGALAU BATU GADANG
Authors: Murisal Murisal
Published: November 2023

Motif and Impact of Early Marriage in Indarung Ngalau Batu Gadang.Penelitian is motivated by teenagers who married early on. Today, young men and women have a tendency to be less prepared to enter the home life, they are only ready to marry (ready here can be interpreted, maturity in terms of financial, understand what the meaning of marriage according to marriage law) is the bond of inner birth between a man and a woman as husband and wife for the purpose of forming a happy and eternal family (household) based on the Supreme Godhead while they are not ready to set up a home, whereas to build a household requires preparation both physically and spiritually . The purpose of this study to determine the motives underlying adolescents to make early marriage and the impact caused in the household as a result of the marriage.
ANALISIS STRATEGI KOMUNIKASI KRISIS HUMASDA PT. KERETA API INDONESIA (PERSERO) DAERAH OPERASIONAL 2 BANDUNG (Studi Deskriptif Dalam Kasus Penertiban Lahan Stasiun Barat)”
Authors: Arif Adzkia , Imran Ayub Ilfandy
Published: November 2023

The research is titled “Analyses of Crisis Communication Strategy of Humasda PT. Kereta Api Indonesia (PERSERO) Operation Area 2 Bandung (Descriptive Study in Case of  Evacuation Land in West Station)”, as for the problem are the concept of crisis processing, the crisis communication strategy, the effort in cope with crisis, PR role when the crisis held by Humasda PT. Kereta Api Indonesia (Persero) Operational Area (Daop) 2 Bandung in solve the crisis that caused by evacuation land in west station. This research used case study qualitative research method of case study along with descriptive exposure. The data obtained through observation, interview, and documents. The main informant in this research is Staff of Humasda Expert PT. KAI Daop 2 Bandung, with the support informant are college student activist, and Kebon Jeruk citizen. Result of this research is crisis communication strategy held by Humasda PT. Kereta Api Indonesia (Persero) Operational Area 2 Bandung already implemented, start from the existence of strategy in cope with crisis, existence of crisis center, and strategy of good media communication. However, the weakness of crisis communication strategy implementation by Humasda PT. Kereta Api Indonesia (Persero) Operational Area 2 Bandung is not doing any direct communication event to the society who give a gap for a developing more crisis.
PENGEMBANGAN MASYARAKAT ISLAM: PROGRAM MAGRIB MENGAJI KECAMATAN KOTO TANGAH PADANG, SUMATERA BARAT
Authors: Wahyu Fadjri
Published: November 2023

This study aims to describe the implementation of magical recitation at the Al-qur'an Rabbani foundation. Islamic society is a community that lives according to Islamic law. The Maghrib Mengaji Community Movement in Koto Tangah District in the last 3 years has not been effective. The availability of teaching staff and community participation in the Pengaji Maghrib Community Movement is one of the causes of the ineffectiveness of the implementation of the Maghrib Mengaji Community Movement. The purpose of the Maghrib Mengaji Community Movement activates Muslims to learn and read the Koran at sunset and make the religious community accustomed to reading the Qur'an and having a strong religious character in Koto Tangah District. From the results of the research analysis it can be concluded that the Maghrib Mengaji Community Movement is categorized as unsuccessful. This can be seen from the failure to achieve the desired goals and objectives, such as activating tahfiz houses and directing Muslims to study and read the Koran at maghrib and make religious and accustomed people to read Al-Quran and have strong religious character in Koto Tangah District. Factors that influence the success of the policy are found, namely: the availability of teaching staff and community participation.
Kano-Based Design for B-to-B Customized Product Configuration Service
Authors: Lee Ching-Hung , Wang Chang , Li Fan
Published: November 2023

With the arrival of industry 4.0, it is possible to transform from traditional factories to smart factories. During the transformation, building a communication channel between customer requirements and production capacity in the product manufacturing stage, realizing the customized order service with low volume and high-mix production are critical. To achieve this potential, this study aims to understand the requirements of customers through the Kano model, which can classify the product attributes into one-dimensional, attractive, must-be, indifferent, reverse, and questionable requirements. Then, a design strategy for a conceptualization of the “Quick customized order configuration system” was proposed based on the Kano analysis results. Thus, an empirical case study of this product configuration system is illustrated as verification in this work.
Group Dynamics and Air Traffic Controllers’ Safety Behaviors: Self-Efficacy as a Mediator
Authors: Liu Qingli , Han Su , Li Fan , Lee Ching-Hung
Published: November 2023

Air traffic controllers (ATCers) typically work under fixed team schedules, and the interaction of group members may significantly impact their behaviors. To understand the mechanism by which group characteristics affect the safety behaviors of individual ATCer, this study problematizes the variables of group dynamics and self-efficacy in this setting and proposes a mediation model in which group dynamics impact safety behaviors through self-efficacy. Data were collected using a self-reported questionnaire survey from 85 Chinese ATCers in two Air Traffic Administrations. The results revealed that the indirect effects of two subdimensions of group dynamics (group cohesion and group infectivity) on safety behaviors via self-efficacy were salient, whereas group pressure was not correlated with safety behaviors. This finding implied the partial mediation role of self-efficacy, which was expected to redress an omission in the influence path from group dynamics to safety behaviors from the cognitive mechanism perspective. The results can facilitate a better understanding of how group characteristics impact safety behaviors and also help develop efficient measures to reduce ATCers’ safety performance at the group level.
Improvement of the Mizusumashi System in an Electrical Devices Company: A Case of Transdisciplinary University-Business Cooperation
Authors: Sousa Beatriz , Costa Hugo , Ferreira Joana , Brandão Patrícia , Gomes Sara , Vale Sofia , Fernandes Sónia , Faria Tiago , Sousa Rui M.
Published: November 2023

In the 1st year of the Master in Industrial Engineering and Management of the University of Minho (Portugal), teams of students develop semester-long UBC (University-Business Cooperation) projects involving four course units, according to the PBL (Project-Based Learning) methodology. This paper focuses on the project developed by a team of eight students in an electrical devices company, more specifically in the mizusumashi system (logistic train), responsible for supplying components to the assembly lines/cells, whose performance revealed some problems. The team carried out a detailed analysis/diagnosis of the current system, gathering data through surveys, interviews, and direct observations on the shopfloor. Several problems were identified, namely in the loading process of the mizusumashi, which takes place in the so-called dynamic warehouse (e.g., disorganization of components and picking inefficiencies), as well as in the routes travelled (e.g., imbalances and deficient/absent signaling). Cases of overloading the mizusumashi and problems in its physical structure were also revealed, with consequences at the ergonomic level. All this causes delays in the supply of components to the assembly lines/cells. To tackle these problems, the team developed and evaluated several improvement proposals, including modification of the routes signage (using visual management techniques), reorganization/ adjustment of the mizusumashi carriages, reorganization of the location of components in the dynamic warehouse, and introduction of an RFID (Radio Frequency IDentification) system to streamline the picking processes. These proposals are expected to eliminate mizusumashi overload and component-scanning times, decrease the number of transports and movements, reduce route delays, and reduce the risk of work-related musculoskeletal disorders (WMSD).
MetaTwin: The Foundation Element of Cloud Manufacturing Metaverse
Authors: Li Ming , Wu Hang , Li Mingxing
Published: November 2023

The tread towards manufacturing digitalization facilitates the establishment of a uniform cyber-physical manufacturing world, which forms metaverse of cloud manufacturing (CMfg). As an enabling cyber-physical technology, digital twin (DT) has been widely applied to build vivid instances of physical manufacturing resources in CMfg world. However, current DTs are formulized on different granularities, which makes it difficult to organize and configure these granularities in a uniform CMfg metaverse. Hence, this paper proposes the concept of MetaTwin as the foundational elements of CMfg metaverse. The scientific characteristics of MetaTwin are defined and general relationships between MetaTwins are extracted and summarized to configure fine-grained MetaTwins into different logical DTs in CMfg metaverse. Finally, related cutting-edge technologies are given to develop and implement MetaTwins in terms of characteristics and relationship requirements.
Evaluation of Feebate by Multi-Agent Simulation for Policy Making in the Complex International Maritime Transport
Authors: Nonomura Kazuho , Hiekata Kazuo , Nishino Nariaki , Nakashima Takuya
Published: November 2023

At the 79th Marine Environment Protection Committee in December 2022, it was discussed to combine regulatory measures and market-based measures (MBMs) for decarbonization in the international maritime transport. In this study, the evaluation of Feebate is focused on, which is an MBM proposed by Japan. This institute has the challenge that the carbon dioxide (CO2) emissions to be reduced are not definitive, and it is not easy to make accurate future projections by top-down simulation. In this study, therefore, future CO2 emissions from the international maritime transport with Feebate are simulated by multi-agent simulation to help the policy maker effectively reduce the emissions. Furthermore, it is analyzed what kind of agent behavior affects the CO2 emissions. The simulator developed in this study is a multi-agent simulator that uses multiple agents to imitate the decision-making processes of real shipping companies. Feebate is modeled as the differences of fuel prices among heavy fuel oil (HFO), liquified natural gas (LNG) and ammonia, and as the ratio of fuel consumptions among these fuels. Case studies are conducted by varying the degree of the fee for the fossil fuels, and the starting year of Feebate. The simulation results suggests that Feebate encourages shipping companies to switch from HFO-fueled vessels and LNG-fueled vessels to ammonia-fueled vessels, and the slow start of Feebate makes it difficult to reduce CO2 emissions, even with a stronger fee, which causes unnecessarily cut into shipping companies’ profits.
The Concept of Failure in Engineering Education – A Transdisciplinary Perspective
Authors: Verhagen Wim J.C.
Published: November 2023

Research into engineering education covers models, methods and approaches to characterise, measure and improve teaching and/or learning performance. The majority of the academic state of the art focuses on how to improve performance based on an understanding of critical success factors for engineering education, which is itself based on underlying models of learning as a process of knowledge acquisition, retention, application and sublimation into ‘higher-level’ learning outcomes. The state of the art covers both qualitative and quantitative methodological approaches, with a strong focus on characterising and measuring learning outcomes. However, while success factors have been identified, much less attention has been paid to what can go wrong in engineering education. This paper aims to provide an initial definition and typology of failure in engineering education, based on a transdisciplinary approach involving concepts and methods from reliability engineering and (engineering) education. Subsequently, avenues for future modelling, testing and application of the concept of failure are explored.
UAV-Assisted Emergency Response: An Interdisciplinary Perspective
Authors: Long Yuying , Zhang Haoyue , Wang Xinyue , Xu Gangyan
Published: November 2023

Unmanned Aerial Vehicles (UAVs) have attracted much attention from industries and academia because of their high accessibility, flexibility, efficiency, and low energy consumption. In the last decade, UAVs have been successfully applied in various emergency scenarios, and many new technologies and approaches have emerged from different disciplines. To facilitate the UAV application and technological development in emergency scenarios, this paper systematically analyzes UAV-assisted emergency response from the perspectives of different disciplines and their interactions. Specifically, an in-depth bibliometric analysis was conducted on the related research papers published in the last twenty years. Then the application scenarios, technological focuses, and open questions were discussed. Results show that UAV-assisted emergency response is a typical interdisciplinary topic that attracts contributions from disciplines including medicine, communication, geology, and transportation. In particular, the interdisciplinarity of the medicine-transportation domain, communication-geology domain, and transportation-communication domain has been widely discussed.
Inclusive Interactive Simulation: Stakeholder Empowerment in Design
Authors: Winder Ira , Hiekata Kazuo
Published: November 2023

Solution generation in transdisciplinary engineering is increasingly buttressed by computational modeling and simulation tools implemented by highly skilled experts. As powerful as these tools may be, they tend to exclude non-technical stakeholders from the solution design process. With this concern in mind, we discuss the method, implementation, and preliminary results for an experiment designed to measure the efficacy of “inclusive” computational modeling techniques that allow non-technical stakeholders to participate more actively in solution generation. In the experiment, we asked individuals to play the role of an empowered citizen who must choose the final and best design for a real estate development in their city. Participants accessed a browser-based digital design tool to view, edit, and create building scenarios. Ultimately, we asked participants to specify a single solution as their final choice, while also reporting their levels of satisfaction and confidence regarding that choice. We found that non-expert participants are quite willing to exercise their own personal discretion to make decisions, even to the point of overriding or ignoring existing professional recommendations. This work may have important implications for technology-enabled participatory design processes in transdisciplinary engineering.
Multi-modality frequency-aware cross attention network for fake news detection
Authors: Cui Wei , Zhang Xuerui , Shang Mingsheng
Published: November 2023

An increasing number of fake news combining text, images and other forms of multimedia are spreading rapidly across social platforms, leading to misinformation and negative impacts. Therefore, the automatic identification of multimodal fake news has become an important research hotspot in academia and industry. The key to multimedia fake news detection is to accurately extract features of both text and visual information, as well as to mine the correlation between them. However, most of the existing methods merely fuse the features of different modal information without fully extracting intra- and inter-modal connections and complementary information. In this work, we learn physical tampered cues for images in the frequency domain to supplement information in the image space domain, and propose a novel multimodal frequency-aware cross-attention network (MFCAN) that fuses the representations of text and image by jointly modelling intra- and inter-modal relationships between text and visual information whin a unified deep framework. In addition, we devise a new cross-modal fusion block based on the cross-attention mechanism that can leverage inter-modal relationships as well as intra-modal relationships to complement and enhance the features matching of text and image for fake news detection. We evaluated our approach on two publicly available datasets and the experimental results show that our proposed model outperforms existing baseline methods.
Artificial algae optimizer with hybrid deep learning based yoga posture recognition model
Authors: Vallabhaneni Nagalakshmi , Prabhavathy Panneer
Published: November 2023

Numerous people are interested in learning yoga due to the increased tension levels in the modern lifestyle, and there are a variety of techniques or resources available. Yoga is practiced in yoga centers, by personal instructors, and through books, the Internet, recorded videos, etc. As the aforementioned resources may not always be available, a large number of people will opt for self-study in fast-paced lifestyles. Self-learning makes it impossible to recognize an incorrect posture. Incorrect poses will have a negative effect on the patient’s health, causing severe agony and long-term chronic issues. Computer vision (CV)-related techniques derive pose features and conduct pose analysis using non-invasive CV methods. The application of machine learning (ML) and artificial intelligence (AI) techniques to an inter-disciplinary field like yoga becomes quite difficult. Due to its potent feature learning ability, deep learning (DL) has recently achieved an impressive level of performance in classifying yoga poses. In this paper, an artificial algae optimizer with hybrid deep learning-based yoga pose estimation (AAOHDL-YPE) model is presented. The presented AAOHDL-YPE model analyzes yoga video clips to estimate pose. Utilizing Part Confidence Map and Part Affinity Field with bipartite equivalent and parsing, OpenPose can be employed to determine the joint location. The deep belief network (DBN) model is then used for Yoga recognition. Finally, the AAO algorithm is utilized to enhance the EfficientNet model’s recognition performance. The results of a comprehensive experimentation analysis reveal that the AAOHDL-YPE technique produces superior results in comparison to existing methods.
An enhanced affective computing-based framework using machine learning & medical IoT for the efficient pre-emptive decision-making of mental health problems
Authors: Ganesh Aurobind , Ramachandiran R.
Published: November 2023

Globally, the two main causes of young people dying are mental health issues and suicide. A mental health issue is a condition of physiological disorder that inhibits with the vital process of the brain. The amount of individuals with psychiatric illnesses has considerably increased during the past several years. The majority of individuals with mental disorders reside in India. The mental illness can have an impact on a person’s health, thoughts, behaviour, or feelings. The capacity of controlling one’s thoughts, emotions, and behaviour might help an individual to deal with challenging circumstances, build relationships with others, and navigate life’s problems. With a primary focus on the healthcare domain and human-computer interaction, the capacity to recognize human emotions via physiological and facial expressions opens up important research ideas as well as application-oriented potential. Affective computing has recently become one of the areas of study that has received the greatest interest from professionals and academics in a variety of sectors. Nevertheless, despite the rise in articles published, the reviews of a particular aspect of affective computing in mental health still are limited and have certain inadequacies. As a result, a literature survey on the use of affective computing in India to make decisions about mental health issues is discussed. As a result, the paper focuses on how traditional techniques used to monitor and assess physiological data from humans by utilizing deep learning and machine learning approaches for humans’ affect recognition (AR) using Affective computing (AfC) which is a combination of computer science, AI, and cognitive science subjects (such as psychology and psychosocial).
Trauma & hysteria in fin de siècle European culture (Part 1)
Authors: Kopiievska Olha
Published: November 2023

The purpose of the article is to analyse the reasons for the actualisation of the issues of trauma and hysteria in the European culture of the fin de siècle. The research methodology includes general scientific principles of systematisation and generalisation of the problem under study, which enabled identification and scientifically substantiation of existing theories and conceptual approaches to understanding the content of concepts of trauma, psychological trauma, hysteria, and mental illness. The application of the axiological approach helped to reveal the interdisciplinary nature of the considered theories, as well as to outline personalised cultural scientific positions. The use of the analytical method contributed to the identification of conceptual foundations for further scientific perspectives on the problematisation of trauma, psychological trauma, hysteria as mental illnesses in the context of cultural knowledge. The scientific novelty lies in the implementation of cultural reflection to clarify the socio-cultural determinants of the spread of hysteria and psychological trauma as mental illnesses. Conclusions. The article examines the issues related to the problematic field of contemporary trauma studies, and for this purpose, the interconnection of such phenomena as hysteria and trauma in the context of fin de siècle culture is highlighted. The specificity of the latter lies in its transitivity, which determines its "centaurism" (S. Krymskyi), and therefore it is described with the help of two mutually exclusive tropes. In the first case, it is pessimism, decline and decay, moral degeneration and degradation, doubts about the reliability of scientific knowledge, criticism of religious and scientific authorities, accompanied by a kind of "fall into archaism" and perceived as an idealisation of the past, a return to nature, to the traditions of pre-modern society. On the other hand, there is the expectation of a new era, optimism, and faith in progress, supported by the achievements of the Second Industrial Revolution and the yet-to-be-discovered abilities of the human mind to penetrate the depths of the unknown, including the human psyche. Such a cardinal contradiction, such an epochal cultural breakdown, has become a fertile ground for the spread of mental illnesses, including hysteria and psychological trauma.

Keywords: trauma, hysteria, problematisation of trauma & hysteria, mental illness, European culture, fin de siècle.
MODERN CULTURAL COLLABORATIONS OF OPERA HOUSES OF KYIV, LVIV, AND ODESA UNDER MARTIAL LAW: THE INTERNATIONAL DIMENSION
Authors: Reva Tetiana
Published: November 2023

The purpose of the research is to analyse the international cultural collaborations of the opera houses under the martial law on the examples of national operas of Kyiv, Odesa, and Lviv. The research methodology is based on the interdisciplinary approach, which includes the knowledge form cultural studies, media studies, and management of sociocultural activity. Using the comparative one, we try to highlight the main international events of the studied theatres and their role in the representation of Ukrainian culture. The scientific novelty of the research is the analysis of the international cultural collaborations of the opera houses under the martial law on the examples of national operas of Kyiv, Odesa, and Lviv in 2022 – 2023. Conclusions. Analysing the content, which in open access on the official websites of the studied theatres, we can state that the international collaborations are reflected in the participation of theatres and their artists in charitable events outside the country in online and offline formats, including a number of charity events organised by theatres as part of the “Stand with Ukraine” project.

Keywords: cultural practices, international collaboration, opera houses of Ukraine, ballet, opera, art project.
El Banco de la República antecedentes, evolución y estructura
Authors: Ortega Francisco J. , Ibáñez Nájar Jorge Enrique , Gómez Restrepo Hernando José , Lombo Vanegas Mario , Isaza Botero Rafael , Meisel-Roca Adolfo , López-Mejía Alejandro
Published: November 2023

Este libro presenta una investigación llevada a cabo por estudiosos relacionados al Banco de la República tales como Adolfo Meisel Roca y Alejandro López Mejía. En este texto se presenta el proceso de formación y evolución de esta institución a partir de sus antecedentes próximos y remotos en las áreas económicas y jurídicas; así como el impacto de este proceso en el desarrollo económico del país.
The impact of Russian Energy Resources on the Economic Growth of the EU: Using Computational Intelligence Algorithms
Authors: El-Aal Mohamed F. Abd , Abdelsamiea Abdelsamiea Tahsin
Published: November 2023

This study explores the impact of Russian oil and natural gas on the economic growth of the European Union. The Gradient boosting algorithm was relied on to determine this effect because of its high prediction metrics (MSE: 0.002, RMSE: 0.040, MAE: 0.034, R2: 99.9). The study depended on three scenarios. The first scenario is that Russia's exports of both products decline to half the year 2022, then to the quarter of 2023, and this second scenario, then the worst scenario, is to prevent Its exports of both products in 2024. But the result is a decline in the European Union's economic growth in 2022 to (-2.15%), then it turns to 2.85% in 2023, and then to 3.86% in 2024, i.e., in the worst scenario year. The evidence for this is that the economies of these countries reduced their growth rates in 2020 (the Covid-19 crisis) to -5.96%, which turned to positive growth in 2021, amounting to 5.38%. This indicates these economies' ability to adapt in the short term by providing alternatives to the crisis.
Determinants of Energy Consumption in Central Asian Countries: Panel Data Analysis
Authors: Abubakirova Aktolkin , Omarova Aizhan , Amaniyazova Gulimai , Saubetova Bibigul , Esturlieva Aigul
Published: November 2023

Central Asian countries (Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan) have been witnessing important developments in the field of economic development since gaining their independence. The increase in energy consumption, in particular, plays an important role in the development of the country's economy by triggering the development of many factors. The main purpose of this study is to empirically analyze the determinants of energy consumption in Central Asian countries. Panel data analysis covering the years 1992-2021 was used in the study. Since there are many determinants of energy consumption, the factors of economic growth, foreign direct investments and energy prices are considered appropriate in this study and it is aimed to examine the interaction of these factors with each other. The test technique used to detect the cointegration relationship in the study confirmed the cointegration relationship between the series. In other words, there is a long-term relationship between the series considered in Central Asian countries. When the estimation results are evaluated, it is seen that the results differ for each country group. It is seen that the economic growth variable, as a determinant of energy consumption, is significant in Kazakhstan, Uzbekistan and Tajikistan, the foreign direct investments series is significant in Uzbekistan and Kazakhstan, and is insignificant in Tajikistan and the Kyrgyz Republic. The results obtained for the Kyrgyz Republic were found to be insignificant for all three series.
Green Hydrogen Production and Public Health Expenditure in Hydrogen-Exporting Countries
Authors: Raouf Engy
Published: November 2023

Energy resources play a significant role as a production input in many economic sectors, such as production of goods and transportation. Moreover, increased energy usage may result in increased air pollution, resulting in negative societal health effects. This paper aims to examine how the production of green hydrogen energy, as proxied by low-carbon energy production, and per capita public health spending are related. This study employs various techniques that are specific to panel data, such as panel cointegration tests, second-generation stationarity tests, and panel long-run estimates, The research has been conducted on a sample of 67 hydrogen exporting nations during the period from 2000 to 2021. The study revealed that hydrogen energy production causes a rise in per capita public health spending. Policymakers should encourage the usage and production of hydrogen energy to decrease the negative consequences of using energy that emits CO2. Reduction of carbon dioxide emissions helps nations to increase the proportion of government spending on public health per person. Furthermore, in hydrogen-exporting countries, an increase in the production of hydrogen leads to accumulate more funds from exporting hydrogen that will be used to increase spending on public health.
Research and Development Expenditures and Renewable Energy: An Empirical Analysis in Türkiye
Authors: Huseynli Bahman
Published: November 2023

In recent years, the increase in imported energy demand in Turkey significantly increases the current account deficit. In developing countries such as Turkey, foreign dependence on energy resources such as oil and natural gas, which is necessary for the realization of production, causes the current account deficit to increase. In this context, turning to renewable energy sources and increasing the amount of energy obtained from these sources is one of the alternatives to get rid of Turkey`s dependence on foreign energy in terms of energy. The aim of this study is to examine the relationship between renewable energy consumption and research and development (R&D) expenditures in Turkey for the period 1998-2021 and to determine to what extent these variables affect each other. In the study, Granger causality analysis was applied using renewable energy consumption and R&D expenditure data. According to the findings obtained in the study, a unilateral causality relationship was determined from renewable energy consumption to R&D expenditures.
An Analytic Hierarchy Process Based Approach for Evaluating Feasibility of Offshore Wind Farm on the Colombian Caribbean Coast
Authors: Ospino-Castro Adalberto , Robles-Algarín Carlos , Mangones-Cordero Amanda , Romero-Navas Sharys
Published: November 2023

Planning a wind power generation project is intricate, considering the number of variables to be careful in the acceptable zone selection for its siting. One of the difficulties of developing a wind farm is finding the most satisfactory location to build it; this can take years of feasibility studies. The main objective of this research is to use the Analytic Hierarchy Process (AHP) to prioritize a group of criteria and sub-criteria as decision-making support for the selection of suitable areas in which implementing wind energy projects in the Colombian Caribbean Sea. The criteria to be applied in this study were selected based on the most recurrently employed criteria in other research papers and the experience of the authors. Thus, a hierarchical structure with 4 criteria (technical, environmental, social, and economic) and 14 subcriteria was implemented. All criteria were prioritized using the methodology proposed by AHP, for which 10 experts with experience in offshore wind projects were consulted, through a form designed with a matrix structure. The results allowed prioritizing a set of criteria necessary for offshore energy planning projects, in which the criteria of Protected Area (19.62%), Wind Speed (13.84%) and Military Areas (9.79%) were the most relevant.
Enhancing Tax Compliance in the Energy Sector: PLS-SEM Analysis of Tax Administration Strategies
Authors: Iqbal M. , Sujianto Sujianto , Erdianto Erdianto , Ayub Daeng
Published: November 2023

The energy sector often constitutes a significant portion of a country's gross domestic product (GDP). It includes industries related to oil, gas, electricity, and renewable energy sources. The size of this sector means that it has a substantial economic impact, contributing to overall economic growth and, in turn, increasing tax revenue. In the context of revenue generation challenges faced by tax authorities, this research explores the pivotal role of tax administration strategies in enhancing tax compliance within the energy sector. Employing a quantitative research methodology with a survey design, this study utilizes structured questionnaires distributed to randomly selected individual taxpayers involved in the energy sector in Indonesia, collecting 178 samples. The research leverages Partial Least Squares Structural Equation Modeling (PLS-SEM) to rigorously test its hypotheses. The findings underscore the critical importance of effective tax administration for augmenting tax compliance within the energy sector and, consequently, increasing tax revenues. The findings empirically prove that tax education, the imposition of law enforcement, and administrative efficiency emerge as key drivers, significantly and positively influencing tax compliance in the energy sector. The findings emphasize the importance of educating individuals and businesses within the energy sector about their tax obligations. Energy companies and workers should be well-informed about tax laws and regulations to encourage voluntary compliance.
Innovating for Sustainability: The Intersection of Technology and Environmental Quality in Indonesia
Authors: Kurniawati Tri , Sofya Rani , Syofyan Rita , Sofia Nita , Ridzuan Abdul Rahim , Md Shaari Mohd Shahidan
Published: November 2023

In this study, we placed significant emphasis on the impact of technology on environmental quality in Indonesia. Technology plays a vital role in the country's progression towards becoming a developed nation; however, it brings both advantages and disadvantages. Indonesia has witnessed substantial economic growth, closely linked to the development and adoption of technology, whether domestically generated or through foreign direct investment (FDI). The primary objective of this study is to investigate the influence of technology and other key macroeconomic variables such as economic growth, FDI, income distribution, globalization, electricity, and urbanization on the level of carbon emissions. The study utilizes annual time series data spanning from 1990 to 2020. The main findings of the study confirm that technology has the potential to reduce environmental pollution levels in the country. However, the impact of other variables on environmental pollution displays a mixed result. Policymakers should pay attention to the significant role of technology and promote government programs that support innovation as a means to address environmental concerns effectively. By doing so, the nation can leverage technology to foster sustainable development and mitigate the adverse impacts of industrialization on the environment.
Nudging International Sustainable Practices Confirmed with Renewable Energy Consumption
Authors: Gupta Suman
Published: November 2023

The study explores the resemblance of the countries based on renewable energy consumption (% of total energy consumption). A simplistic clustering approach is applied to implement the segmentation using the gap statistic method. The paper deals with the comparability of countries from the perspective of income level and geographical distribution. The clustering-based results reveal that the values of most mean clusters representing major economies have deteriorated over the past few years. The High and Upper-middle income countries are found to be not following sustainable practices, while Low and Lower-middle income countries are relying much on renewable energy consumption. The outcome is also presented as clusters for geographical distribution and a cross-section distribution of Income level-Region for all economies sampled. The study may assist in policy-making in the wake of the global clean energy transition.
Strategic Energy Management and Carbon Footprint Reduction in University Campuses: A Comprehensive Review
Authors: Tanavade Satish Suresh , Patil Ganesh Nagraj , Sudhir C. V. , Saravanan A. M.
Published: November 2023

This review paper offers a detailed analysis and summary of current studies related to energy management and carbon footprint reduction in university campuses. Using insights from different research papers, the review highlights the necessity for strategic and sustainable energy management approaches. The research reviewed explores a wide range of methodologies, including the examination of energy consumption, the identification of areas for improvement, the application of energy management and optimization techniques, and the use of renewable and sustainable energy strategies. It is evident from the review that successful energy management and carbon footprint reduction depend on energy management systems, integration of renewable energy, encouraging behavioural changes, and efficient resource use. The review paper is divided into six sections: understanding and enhancing energy consumption, Techniques for Energy Management and Optimization, random and systematic approaches to energy management, Energy Management Systems and their Applications, approaches for sustainable and renewable energy and carbon footprint reduction techniques. The review also identifies areas of future research in the field. It aims to serve as a valuable guide for university administrators, energy managers, and researchers seeking to implement sustainable energy practices and reduce carbon emissions on university campuses.
Analysis Forecasting of Gasoline Prices in Some ASEAN Countries by Using State Space Representation on Vector Autoregressive Model
Authors: Usman Mustofa , Komarudin M. , Nurhanurawati Nurhanurawati , Russel Edwin , Wamiliana Wamiliana , Elfaki Faiz  A.M
Published: November 2023

Research on the price of gasoline has become a topic of research that has been carried out by many researchers. The topic is interesting because the price of gasoline has a relationship with many aspects of people's lives. This study aims to examine the relationship pattern of gasoline prices in several ASEAN countries: Indonesia, Malaysia, and Vietnam, and to make gasoline price forecasting in these three countries for the next 12 months. This study uses a multivariate time series approach; first, the best vector autoregressive (VAR(p)) model will be built based on Akaike's Information Criterion (AIC). Based on the best VAR(p) model, granger-causality analysis is discussed, and for forecasting gasoline prices, a state space model will be developed based on the best VAR(p). State vectors are built based on canonical correlation analysis. Based on the results of granger causality analysis, gasoline prices in Indonesia are affected by past gasoline prices in Vietnam; gasoline prices in Malaysia are affected by past gasoline prices in Indonesia and Vietnam. The results of forecasting analysis for the next 12 months using the state space model show that gasoline prices in Indonesia for the next 12 months tend to have a downward trend; gasoline prices in Malaysia for the next 12 months tend to have an upward trend; and the price of gasoline in Vietnam for the next 12 months tends to have an upward trend for the first 6 months and then has a downward trend for the next 6 months.
Examining the Volatility of Conventional Cryptocurrencies and Sustainable Cryptocurrency during Covid-19: Based on Energy Consumption
Authors: Anandhabalaji V. , Babu Manivannan , Gayathri J. , Sathya J. , Indhumathi G. , Brintha R. , Michael Justin Nelson
Published: November 2023

The present study proposes to investigate the influence of the covid-19, on the adjusted closing price of the digital currency based on energy consumption during the process of mining. The study employed the secondary data analysis of top ten market capitalization of cryptocurrencies with the combination of high energy consume mechanism (proof of work) and low energy consume mechanism (proof of stake). Statistical tools like Descriptive analysis,Augmented Dickey-Fuller (ADF) test, ARCH, and GARCH models were used in the study. The present study finds that the prices of cryptocurrencies were highly volatile. This study could assist investors towards better understanding of the dynamics of the cryptocurrency market based on energy consumption which helps them to make more effective decisions, on investing cryptocurrencies with a scientific approach.
Can a Labour Market Assessment be used to Help Adolescent Girls and Young Women Improve their Employment Prospects in South Africa?
Authors: Mvunabandi Jean Damascene , Nomala Bomi , Marimuthu Ferina
Published: November 2023

This article investigated how labour market assessment intervention through employability training can be used as a catalyst to improve employment pathways among adolescent girls and young women (AGYWs) in South Africa. This study adopted quantitative and descriptive research approaches via longitudinal data collection. Secondary data was collected from 3584 AGYWs using a questionnaire survey during employability training from July-October 2021. Robustness analysis was performed using descriptive statistics using SPSS version 27.0. The empirical findings proved that employability training significantly improved the capabilities of adolescent girls and young women on labour market assessments. Relying on these empirical findings, this study proposes a framework for linking AGYWs and the labour market through an employability training capability-based conceptualised model. This study contributes to the current body of knowledge and further contributes to the career development and employability among adolescent girls and young women required to cope with the labour markets in South Africa.
Factors Contributing to Online or In-store Shopping among Academics from a Private Higher Education Institution in South Africa
Authors: Moodley Marlini , Naidoo Sershan
Published: November 2023

The aim of the study was to determine the factors contributing to online or in-store shopping behaviour among academics from a private higher education institution in South Africa. In addition, the study examined types of products or services consumers are likely to purchase in-store and online and particular aspects relating to store atmosphere, as well as the challenges that were experienced using both modes of shopping. The study was conducted at a private higher education institution. A cross-sectional quantitative study was conducted among all the academics in the organisation. The study show that the majority of respondents belonged to generation X and Y and that they are more inclined to purchase from both in-store and online stores rather than a singular mode of shopping. However, there is an element of fear, anxiety and uncertainty that customers face when purchasing online. This is motivated by the Stimulus-Organism-Response (SOR) model. Factors that influence the overall purchasing decision for both online and in-store shopping include accessibility, convenience, delivery service, store aesthetics (atmosphere and ambience) and the availability of an assistant. Recommendations for retail marketing managers include the fact that they should consider a hybrid model of both in-store and online shopping. Moreover, invest in enhancing the store image of both physical stores as well as virtual online stores as the subtle atmospheric cues trigger impulse purchasing.
Oncologic Disease in Patients at the High Complexity Oncology Unit (UNACON) of Amapá, Amazon, Brazil, between 2019 and 2022
Authors: Castro Ellen Paola de Araújo , Rebouças Ingrid Araújo , Rodrigues Raíza Júlia Viana , Lucena Larissa Sena de , Rodrigues Ana Caroline Santana , Santos Helen Derlane Rabelo , Lobato Renan Gustavo Mota , Alves Roberto Marcel Soares , Dias Claudio Alberto Gellis de Mattos , Dendasck Carla Viana , Fecury Amanda Alves
Published: November 2023

Cancer is a chronic disease of significant and growing magnitude. This serious public health problem accounts for approximately 30% of all premature deaths from Non-Communicable Chronic Diseases (NCDs). This study aimed to quantify oncological disease in patients at the Unidade de Alta Complexidade de Oncologia do Amapá (UNACON) between 2019 and 2022. It was an exploratory-descriptive study with quantitative analysis. A higher frequency of cancer was observed in females aged 46 to 55 years, with breast neoplasia being the most commonly identified type, and the primary treatments used were surgery and chemotherapy. Therefore, there is a need to focus on preventive and health promotion measures in primary care, as well as attention to the high-complexity unit in the state for structural improvements that can provide convenience, comfort, and a minimum level of privacy for patient and caregiver research.
L’évolution historique de la santé publique
Authors: Neto Daniel Carlos , Dendasck Carla Viana , Oliveira Euzébio de
Published: November 2023

On le trouve dans les premiers documents historiques, la recherche constante de l’homme pour la recherche de la guérison de ses infirmités. Un des premiers dossiers que l’on a concernant l’exercice de la médecine à travers la Bible elle-même, où en plus de mentionne la recherche d’individus pour guérir leurs infirmités. Connaître l’évolution historique de la santé, en particulier de la santé publique, est fondamental pour comprendre les phénomènes qui font partie du cadre contemporain, cherchant ainsi, à travers cette reconnaissance, à tirer des leçons qui permettent des stratégies administratives et/ou resolutives pour ce qui est considéré comme la « crise du système de santé ».