bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Construction and Application of Information Management System Based on Big Data
Authors: Liang Zhe
Published: September 2024

This paper focuses on the construction and application of information management systems based on big data in the digital era. It begins by introducing the importance of Information Systems (IS) and big data, and the challenges they face. The paper then provides an overview of big data, including its characteristics, data sources, and common technologies. It also discusses the development and evolution of IS, from the traditional theory-driven approach to the modern data-driven era. The application of big data in is explored, covering data collection, storage, analysis, and visualization. The paper further analyzes the existing data analysis methods, including theoretical analysis, statistical analysis, machine learning, and deep learning. Additionally, it addresses the privacy and security of data, considering legal, ethical, and quality aspects. The application of big data in various industries, such as healthcare, finance, retail, and manufacturing, is also discussed. Finally, the paper looks towards the future, highlighting emerging technologies like AI and quantum computing, and future research directions in big data analysis, security, and integration with AI.
A Preliminary Analysis of the Basic Principle and Research Value of Mud Volcano Formation
Authors: Wu Yuanya
Published: September 2024

The global plastic usage and production issue during the COVID-19 Pandemic requires strategic, solid controls. In this passage, under the COVID-19 background, we summarize the factors that cause increasing production and usage of plastic, highlight the effects of producing and using a large amount of plastic, and propose some ways to deaden the environmental problems caused by the mass production of plastic products under the epidemic. Several factors are pushing the production and usage of plastics, including changes in people's behavior, demand for protective equipment, and laws and regulations. These factors drive the production of plastic substances, bringing with them a series of serious environmental, economic, and human health problems. Thus, we propose three ways, including the government leadership, social participation, and individual responsibility, to de-escalate the detriment caused by the plastic matter.
ON THE WAY WITH FRAMEWORK CURRICULA TOWARDS FOREIGN LANGUAGE TEACHING AT NON-PHILOLOGICAL FACULTIES FROM TOMORROW
Authors:   Universität Bocconi, Mailand (Italien), SERENA Silvia , BARIĆ Karmelka ,   Universität in Novi Sad (Serbien)
Published: September 2024

The aim of our contribution is to show how the framework curricula for the teaching of German and foreign languages which were developed in ten countries during a project for cross-curricular university language education in the period 1998-2014 can support teachers, even under difficult circumstances such as during the pandemic. The holistic approach of these curricula leads teachers to create teaching materials which allow their students to enjoy learning and to develop not only their linguistic, but also methodological, social and personal competences relevant to their future careers. Teaching examples from online classes at Bocconi University (Italy) and hybrid classes at the University in Novi Sad, (Serbia) are presented, which prove that the motivation and creativity of learners, who often perceive professional and technical language as something dry and overly factual, can be stimulated by appropriate working methods and targeted teaching materials. Appropriate teaching materials can be created for German classes as well as for any other foreign language classes, since the indications of principles, objectives, contents and procedures contained in the framework curricula are cross-linguistic and are not bound to the teaching of a single language, although they have been written in German by German lecturers.
RAYMUND NETZHAMMER - RESPECTED FIGURE OF THE GERMAN CATHOLIC POPULATION IN ROMANIA
Authors:   University of Bucharest, DOGARU Cristina
Published: September 2024

Raymund Netzhammer is a prominent representative of the Catholic and Greek Catholic Churches in Romania. He worked as Roman Catholic Archbishop of Bucharest between 1905-1927 and felt that he belonged to the whole country, his adopted homeland, Romania, so that he was particularly valued not only by German Catholics, but also by believers from other confessions.
Jurnal Spektrum Hukum Konflik Norma Pasal 15 Ayat (2) Dan Ayat (3) Undang-Undang Nomor 42 Tahun 1999 Tentang Jaminan Fidusia (Studi Putusan Mk Nomor 18/Puu-Xvii/2019)
Authors: Firman Ikhsan
Published: September 2024

The rights of Fiduciary guarantees, in practice, are often violated by Fiduciary guarantee recipients. Even thuggery methods are used for this purpose. The purpose of this study was to identify and analyze the legal norms formulated in Article 15 of the Fiduciary Guarantee Law and the conflicting norms of Article 15 paragraph (2) and paragraph (3) of the Fiduciary Guarantee Law with the original intense formulation of Article 28G paragraph (1) of the 1945 Constitution of the Republic of Indonesia . The research method uses a normative juridical approach. Legal norms which are the legal substance of the formulation of the Fiduciary Guarantee provisions are analyzed through a concept and law approach. Fiduciary towards the 1945 Constitution, caused by the phrase "executive power" and the phrase "the same as a court decision that has permanent legal force" which is contrary to the principles of legal certainty and fairness of the parties to the agreement. The legal argument is the subjectivity of creditors (Fiduciary Recipients) in assessing and determine the circumstances of default (default) of the debtor (Fiduciary Provider).
Kebijakan Hukum Terhadap Pelaku Perundungan Di Sekolah Yang Berdampak Pada Perkembangan Mental Anak
Authors: Ardian Firmansyah
Published: September 2024

The number of cases of criminal acts of bullying lately has increased, which is even sadder to the point where victims die. Of the several cases that have come to the public's attention is the bullying committed by children in the school environment. This phenomenon requires the government to issue policies to deal with cases of bullying. This research is intended to examine and provide an understanding of how legal policies are against perpetrators of bullying in schools and how big the impact of bullying is on the mental development of children as victims. This type of research is normative legal research with library research as the approach. The results of the study show that children as perpetrators of bullying should not be left alone in a peaceful settlement through the implementation of a diversion process outside the judiciary, but rather be given sanctions in accordance with Law Number 11 of 2012 concerning the Juvenile Criminal Justice System. Article 82 paragraph (1) letter e of Law Number 11 of 2012 concerning the Juvenile Criminal Justice System, namely the obligation to attend formal education and/or training organized by the government or private bodies, is the proper legal basis for imposing sanctions on acts against children . In particular, some of the impacts of bullying on mental health are that the victim experiences trauma to the perpetrator, depression which causes the victim to experience a decrease in concentration, further loss of self-confidence, as a form of revenge, the victim has a feeling of wanting to bully, fear of being seen or noticed in public or social bullying , anxiety that tends to be excessive, dropping out of school and even the victim commits suicide. Meanwhile, the result of bullying for children's mental health is that victims of bullying tend to be alone because they feel the most guilty among others, victims have decreased self-confidence, reduced enthusiasm for life so they prefer to be moody and not anxious. For some people their emotions are getting more and more uncontrollable so that it results in a feeling of revenge in the victim's heart and makes them want to do what they have experienced against other people.
Climate Change, Children’s Rights and the Rights of Future Generations
Authors: Bulat Doğa
Published: September 2024

The children’s right to a healthy, clean, and sustainable environment is intrinsically linked to climate change. Among various international legal instruments, the Convention on the Rights of the Child (CRC) stands out as a critical framework for safeguarding children against rights violations arising from climate change. The right to a healthy, clean, and sustainable environment intersects with numerous CRC provisions. This study argues that CRC provisions, particularly the principle of the best interests of the child, can and should be strategically employed in climate litigation. The CRC is also pivotal for recognising the rights of future generations—often mentioned in landmark climate cases but still debated as to whether they hold a rights-bearing status. Failing to acknowledge the rights of future generations as integral to child rights presents a significant obstacle to effectively securing the right to a healthy, clean, and sustainable environment for children. This study argues that relevant CRC articles can be utilised in climate litigation to encompass the rights of future generations, thereby more effectively upholding the rights of children today and those who will be born in the future.
Mythical Discourses as an Incentive for Action in Advertisements: A Semiotic Analysis
Authors: Aksu Mustafa , Yerlikaya Mahir
Published: September 2024

Advertising, which has been conveyed by different means of communication from the past to the present, is an important sales and marketing method. To influence people and their purchasing decisions, advertisements employ various methods, including semiotics. The basic field of semiotics is to examine, analyze, and interpret images, behaviors, and signs within the context of the relationship between the signifier and the signified. Advertisements communicate with consumers using the verbal and visual codes they contain. Mythical expressions are frequently encountered in the verbal and visual codes used in some advertisements. This study analyzes the advertisement of the Kerevitaş company with the theme 'Today Days Teremyağ' using the semiotic method, interpreting the findings. It is determined that the Teremyağ advertisement uses mythical discourses as an element of thought transfer and action that directs certain behaviors in its content, visuals, and discourse language. The Teremyağ advertisement appeals to people through the myths of success, effort, overcoming difficulties, and ultimately reaching a reward, similar to storytelling in epics, legends, and religious stories.
The Influence of Business Model Canvas on Financial Performance of Micro, Small, and Medium Enterprises (MSMEs)
Authors: Susanti Diah Ayu , Fithri Diana Laily , Gunawan Budi , Budiman Nita Adriyani , Mulyani Sri , Nugraha Fajar
Published: September 2024

This research aimed to analyze the influence of the nine components of Business Model Canvas (BMC) on financial performance of Micro, Small, and Medium Enterprises (MSMEs) in Kudus Regency. BMC components included Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partnerships, and Cost Structure. In addition, the data was collected from 393 MSMEs selected through purposive sampling using a quantitative method. The analysis was performed using Structural Equation Modeling (SEM) and SmartPLS 3 software. The results showed that Cost Structure had a positive and significant impact on financial performance of MSMEs out of the nine BMC components. In this context, the efficiency in cost management significantly contributed to the improvement of financial performance. Other components such as Channels, Customer Relationships, Customer Segments, Key Activities, Key Partnerships, Key Resources, Revenue Streams, and Value Propositions did not have a significant impact on financial performance. Therefore, MSMEs in Kudus Regency were expected to optimize the implementation of the components to have a greater impact on financial performance. The practical implications were that MSMEs should focus more on efficient Cost Structure management as a primary strategy to enhance financial performance.
Ocean and Beyond: A Benthic Imagination of the Black Historiography in August Wilson’s Gem of the Ocean and Henry Dumas’s “Ark of Bones”
Authors: Mondal Biman , Rahman Md Mojibur , Mukhopadhy Tuhin
Published: September 2024

Ocean can be read as a mnemonic text, from anthropological, historiographical, sociological, and literary perspectives, despite ocean being constructed, in our popular imagination, as a void –a ‘non-place’ in Mark Auge’s term.Ocean, in general, symbolizes chaos. The present studyseeks to identify the symbolic and material connotation of ocean water,recognizing how ocean becomes an integral part of African-American diasporic identity, cultural, and historiographic legacy, predicated on a mnemonic context, as represented in August Wilson’s play Gem of the Ocean and Henry Dumas’s short-story “Ark of Bones,” bringing out a literary-historical dimension of ocean water, closely linked with identity-formation.
A Study on the Impact of Social Media Platforms on Online Retail Performance
Authors: Ha Van Duong , Nguyen Thi Thuy
Published: September 2024

This study examines the impact of social media platforms (SMPs) on Vietnamese retailers' online retail performance by inheriting factors from previous research models including: (i) Model of factors affecting behavioral intention of using SMPs include factors such as Functional Expectancy, Hedonic Motivation, Habit, Perceived Relationship; (ii) Model of factors affecting online retail performance includes factors such as Social Media Marketing Passive Approach, Social Media Marketing Active Approach, Social Media Marketing Engagement Approaches, Electronic Word-of-Mouth. At the same time, this study adds other factors such as Platform Usability, User Autonomy, Influencer Marketing to establish a research model. This study results show that Hedonic Motivation, Habits, Use Proficiently, Perceived Relationship have a positive impact on Behavioral Intention. The study results also show that Behavioral Intention, Social Media Marketing Active Approach have a positive impact on Behavioral Intention, and Platform Usability has a negative impact on Retail Performance. These findings have some important implications. It is proposed that retailers, stakeholders, managers and SMPs provider identify the factors that affect SMPs on the online retail performance of Vietnamese retailers.
Building Sustainability in Higher Education through Green Management and Innovation: A Case Study of Private Universities in Jakarta
Authors: Sutawaidjaya Ahmad Hidayat , Yusuf Muhammad , Hamdi Edi
Published: September 2024

This study analyzes the causal relationship between green management, supply chain management, and organizational culture on the sustainability of higher education institutions, with green innovation as a mediating factor. Data were collected from private universities in Jakarta and compared with global benchmarks such as the Times Higher Education Impact Rankings and the UI GreenMetric World University Rankings. Using SEM-PLS for analysis, the results show that green management, supply chain management, and organizational culture each positively influence the sustainability of higher education institutions. The study demonstrates how green management practices and organizational culture affect sustainability in higher education. International comparisons reveal similar trends globally, with green innovation playing a crucial mediating role.
FRUIT CONSUMPTION AND ITS INFLUENCE ON THE DEGREE OF INSULIN RESISTANCE
Authors: DELINIKOLOVA Eleonora , JANKULOSKA Vezirka , BLAZHEVSKA Tatjana , STAMATOVSKA Viktorija
Published: September 2024

Fruit is rich in fiber, antioxidants, and phytochemicals that can have beneficial health effects. Its consumption is recommended for the primary prevention of many chronic diseases, but opinions are divided regarding its preventive role in the development of hyperinsulinemia and diabetes. The purpose of this research is to assess the influence of the frequency and quantity of fruit consumed on the degree of insulin resistance (expressed through HOMA-IR), in people who have hyperinsulinemia and increased body mass. Through a survey questionnaire, 104 women and 71 men answered questions related to the representation of fruit in their diet. All 175 subjects were older than 25 years, had an increased body mass index (BMI>25 kg/m2), and diagnosed hyperinsulinemia. Most of the respondents, 95 (55.23%) consume fruit in a quantity less than 250g, the most common frequency of intake in 57 (32.57%) is from three to five times a week. There is a statistical dependence between the HOMA - IR index and the frequency of eating fruit every week, among respondents aged between 41 and 55. Women consume a larger quantity of fruit every week, and it was notable that those with a lower HOMA - IR index consume a smaller amount than those with a higher value on this index. Fruit is recommended as part of the diet for people with insulin resistance, but it should be represented in adequate quantities, to take advantage of its benefits.
INVESTIGATION OF THE RHEOLOGICAL, NUTRITIONAL, AND SENSORY PROPERTIES OF THE GLUTEN-FREE BREAD PRODUCED FROM RICE, BEAN, AND CHICKPEA FLOUR
Authors: XHABIRI Gafur , DURMISHI Namik , ALIJA Durim , SANA Majlinda , LAZOVA-BORISOVA Iliana , HAVZIU Eldina
Published: September 2024

In recent years, the demand for gluten-free products has been constantly increasing due to the increase in the number of people suffering from celiac disease. Bread is the main product consumed in our country; therefore, gluten-free bread for celiac patients on the market is mostly of poor quality and low nutritional value, while gluten-free flour has a very high price. The purpose of this work was to investigate the rheological properties of dough, the nutritional value of bread, as well as the sensory properties of gluten-free bread produced from mixtures of raw materials such as rice, chickpea, and bean flour, corn starch, and egg powder. The results showed that the gluten-free bread had different rheological properties, and only mixes M5 and M6 had similar rheological properties, such as dough development, stability, and degree of softening, to the control bread M1. Gluten-free bread from mixtures M2 and M3 had higher contents of protein, fat, cellulose, and minerals, while bread from mixtures M5 and M6 had medium contents. Bread M2 and M3 had acidity levels above the allowed limits which made them unusable or had a short shelf life. Sensory analyses showed that bread M5 had similar sensory properties to the control bread M1 and fell into the same quality category; also, bread from the M5 mixture has a much better taste and aroma. For consumption, we recommend using gluten-free bread from the M5 mixture, which in its composition has 80% rice flour, 7.5% chickpea flour, 5% bean flour, and 7.5% egg powder.
Evaluation of perfusion index to predict hypotension in lower segment caesarean section under spinal anaesthesia
Authors: Nidhi Abiral , Yadav Dipendra Kumar , Sharma Subodha Kumar , Nidhi Ayushi , Baral Sushila , Yadav Rajesh Kumar
Published: September 2024

Background: Spinal Anaesthesia is the most popular choice for elective caesarean section. Both general anaesthesia and regional anaesthesia are acceptable techniques for anaesthesia for elective and emergency caesarean sections.
Objectives: The study aimed to investigate the role of the perfusion index in predicting the incidence of hypotension following spinal anaesthesia in parturients undergoing elective lower segment caesarean sections.
Methods: A prospective, observational study was carried out among sixty parturients posted for elective caesarean section. The study was conducted in the operation theatres of Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi. About 60 participants were interviewed for the study. Data were entered and analysed with the help of the Statistical Package for Social Science (SPSS) version.16.                                                                             
Results: Sixty eligible ASAI (American society of anaesthesiologist’s physical status classification) parturients scheduled for elective caesarean section were divided into two groups pre-operatively after determining their baseline Perfusion Index (PI) as those with PI ≤ 3.5 and those with PI > 3.5 using a Masimo® pulse oximeter probe. When comparing the heart rate at time intervals among the two groups, it became increasingly clear that those with baseline PI > 3.5 had generally higher heart rate especially immediately after the block and at 2nd, 4th, 6th,8th, 10th, 12th, 14th and 20th minutes.
Conclusion: The study concludes that a Perfusion Index > 3.5 is associated with a higher incidence of hypotension in lower segment caesarean section under spinal anaesthesia. The hemodynamic parameters such as increased heart rate and significantly lower systolic, diastolic and mean arterial pressures in parturients with baseline PI > 3.5 suggest that these patients have lower baseline SVR and depleted autonomic resilience to hypotension compared to those with baseline PI ≤ 3.5. High BMI seems to be significantly associated with high baseline PI.
Knowledge, Attitudes, and Practices on Covid-19 Prevention of Vietnamese Patients: A Cross-Sectional Study
Authors: Nguyen Hai , Vu Dinh Ly , Nguyen Thi Anh Thi , Tran Thi Van , Nguyen Thi Yen Hoai , Lai thi Ha , Tran Thi My , DUong Dinh Hieu
Published: September 2024

Background: The COVID-19 pandemic had a significant global impact, and although it has been controlled at the moment, the possibility of a resurgence is remains high if appropriate preventive measures are taken. Da Nang was one of the largest cities where the epidemic broke out and spread intensively in Vietnam. Knowledge, attitudes, and practices (KAP) towards COVID-19 play an important role in controlling and preventing the disease.
Objectives: To evaluate the KAP toward COVID-19 prevention among patients who visit to Da Nang Hospital for examinations and identify some related factors.
Methods: A cross-sectional study was conducted on 350 patients who visited the Department of Medical Examination of DaNang Hospital from November 2022 to April 2023. The questionnaire assessing knowledge, attitude, and practice of COVID-19 prevention of patients with 30 items was used and revised with the permission of the original author. Chi-square tests and odds ratios (ORs) with a 95% confidence interval (CI) were used to identify factors related to patient characteristics and knowledge, attitude, and practices of COVID-19 prevention. The results were considered statistically significant when p < 0.05.
Results: The percentage of participants with good knowledge, positive attitude, and successful practice on COVID-19 prevention accounted for 86.6%, 89.1%, and 56.3% respectively. Factors related to knowledge include sex (OR=1.88, 95% CI: 0.99-3.52, p-value < 0.05), age, education level, and family economy; attitudes include education level, place of residence (OR=0.44, 95% CI: 0.20-0.84, p-value < 0.05), occupation; and COVID-19 infection status (OR=0.47, 95% CI: 0.23-0.95, p <0.05); and practices include sex (OR=0.57, 95% CI: 0.37-0.88, p-value <0.05), age, education level , place of residence (OR= 0.65, 95% CI: 0.42-0.95, p-value <0.05) and occupation .
Conclusion: Research results showed that patients who visit to Da Nang Hospital for examinations have a high level of good knowledge and a positive attitude, while successful practices in COVID-19 prevention were not high. Thus, it is still necessary to promote and improve patients' knowledge about disease prevention vaccines, as well as enhance the practice of washing hands and covering mouths when coughing and sneezing for better disease prevention.
Can we improve plume dispersal modelling for fire related emergency response operations by utilising short-range dispersion schemes?
Authors: Stebbing Nicola , Witham Claire , Beckett Frances , Webster Helen , Huggett Lois , Thomson David
Published: September 2024

Large fires that produce plumes of smoke and other contaminants can cause harm to both people and the environment. To support UK emergency responders, the Met Office Environmental Monitoring and Response Centre (EMARC) provides dedicated weather advice and forecasts of the plume in the form of CHEmical METeorological (CHEMET) reports. The plume’s expected location, extent and relative air concentrations of pollutants are predicted using the Numerical Atmospheric-dispersion Modelling Environment (NAME), which simulates the transport and dispersion of pollutants using numerical weather prediction data. During major fires, air quality monitoring equipment is deployed to confirm the presence of elevated concentrations of contaminants. We use ground-level air concentration measurements from multiple events to evaluate the operational set-up of NAME. We investigate both the output averaging depth used to calculate air concentrations and the use of three optional NAME schemes that are designed to improve the representation of short-range dispersal dynamics: the near-source scheme, the plume-rise scheme, and the urban scheme. We find that using the current operational output averaging depth of 100 m produces model air concentrations that compare best to point observations at the surface, and that using the near-source and urban schemes further improves the fit. However, using these more computationally expensive schemes has little impact on the modelled location and extent of the plume, suggesting they may offer no advantage over using the current operational set-up to produce CHEMETs. Using the plume-rise scheme strongly influences the predicted plume location, extent and surface concentrations. Further work is needed to understand whether its application is appropriate for simulating plumes from fires. We conclude that the current operational set-up can be maintained while the significance of the impact the optional schemes have on CHEMET plume dispersal forecasts is considered further.
Explaining prediction models to address ethical issues in business and society
Authors:   , Goethals Sofie
Published: September 2024

The field of artificial intelligence (AI) has experienced explosive growth in recent years, with applications ranging from medical diagnosis to financial forecasting. However, as these technologies become increasingly integrated into decision-making processes, it is crucial that we also consider the ethical implications of their use. In particular, the transparency, fairness and privacy of AI systems are major concerns, as these systems can have far-reaching impacts on individuals and society. In this PhD thesis, I focus on the ethics of explainable AI (XAI). XAI refers to the development of techniques that are able to provide human-understandable explanations for AI models. My research explores the importance of explainability in the context of ethical decision-making and investigates both opportunities and challenges that arise from the use of Explainable AI. In this PhD thesis, I categorize my research contributions into three pillars: Transparency, Fairness and Privacy. Within the transparency pillar, I study the trade-off between transparency and performance of machine learning models, and investigate the manipulation issues that Explainable AI techniques can induce. Next, within the fairness pillar, I demonstrate how XAI techniques can be used to measure discrimination in machine learning models, and I discuss the opaqueness surrounding the impact of bias mitigation methods. Within the final pillar of privacy, I analyse the privacy issues of XAI techniques, and conduct an applied study to show the trade-off between privacy and personalization on a dataset of Facebook likes.
Novel applications of machine learning in biological sciences
Authors:   , Mortier Steven
Published: September 2024

In recent years, the rapid increase in available data, accompanied by significant algorithmic advancements, have enhanced our ability to analyze and extract valuable insights from this data. In this thesis, we present novel applications of machine learning (ML) in biological sciences, more particular in neuroscience, ecology, and agricultural research. We pay special attention to the interpretability and explainability of our models. ​ ​ In Chapter 2, we address a binary classification task aimed at detecting attention in electroencephalography (EEG) data. By employing state-of-the-art ML models, we successfully differentiate between target and distractor stimuli using EEG data collected during an audiovisual attention task. Additionally, we examine subject dependence in EEG data by comparing the performance of ML models trained on individual subjects versus multiple subjects. Finally, we apply explainable AI (xAI) techniques to identify the features utilized by the models for their predictions, and find that these features align with the expectations of domain experts. Chapter 3 focuses on the relationship between soil temperature, various meteorological variables, and vegetation phenology characteristics. Using ML and xAI, we find that rising soil temperatures result in an earlier onset of the growing season for plants. Additionally, our analysis reveals that the meteorological variables have the most significant impact on the vegetation phenology characteristics, while annual variations are primarily driven by changes in the soil temperature. ​ In Chapter 4, we address the issue of missing values in sensor data, with a focus on large-scale wireless sensor networks. We evaluate twelve missing value imputations methods, each using different imputation strategies and originating from diverse backgrounds. To enhance the evaluation process, we define a “masked missings” scenario, offering a more realistic assessment compared to the standard practice of using random missings. Our findings indicate that imputation methods explicitly accounting for spatial correlations between sensors generally perform best, and we use these insights to suggest directions for future research. Finally, in Chapter 5, we develop a new global dataset considering the historical application of fertilizers. Specifically, we use ML to predict historical fertilizer application at both the crop and country levels, based on a set of features related to crop classes, along with socioeconomic, agrological, and environmental variables. Additionally, we use xAI to identify the most relevant drivers influencing fertilizer application.
The Analysis of Tourism Attitudes using Natural Language Processing Techniques: A Case of Malaysian Tourists
Authors: Bin Hossain Md Tareq , Binmad Ruchdee
Published: September 2024

The spread of COVID-19 has had a significant impact on all facets of the global tourism sector, particularly in Thailand, one of the world’s leading travel destinations. At the height of the epidemic, many countries imposed a nationwide lockdown, prohibiting all citizens from leaving the country and all foreign tourists from entering. This led to a global shutdown that significantly affected the daily lives of billions of people and seriously impacted the travel and tourism industry. After a two-year hiatus due to the epidemic, the situation eased and the lockdown restrictions were lifted. An interesting question is how visitors’ attitudes and preferences changed when compared to the time before the outbreak. This study attempts to answer this question by focusing on Malaysian visitors’ attitudes and perceptions toward destinations in southern Thailand. The study examines the perceptions of Malaysian Twitter (now X) users from three areas in Malaysia; Kedah, Perlis, and Kuala Lumpur, by employing Natural Language Processing (NLP) techniques such as sentiment analysis and topic modeling. Then, tweet data before and after the lockdowns were gathered, analyzed, and compared. For sentiment analysis, it was found that, when neutral tweets were disregarded, results both before and after the COVID-19 lockdowns revealed that the attitudes conveyed by Malaysian tourists were overall positive especially a territory and a state that are more far away from Thailand, i.e., Kuala Lumpur and Kedah. The results from the topic modeling analysis showed a meaningful distinction between before and after the COVID-19 lockdowns. Practical suggestions are offered for tourism policymakers to identify and address both the strengths and weaknesses of tourism development in Southern Thailand.
Analyze the relationship between monetary policy and the economics growth of Lao PDR
Authors:   Souphanouvong University, SISANGA Bouapheng
Published: September 2024

This research study aims to analyze the relationship between monetary policy and the economic growth of the Lao PDR. The variables of the monetary policy include the loan interest rate (R) and the money supply (M2). This study focuses on analyzing the relationship with regression model, short-run correlation by the VECM model, long-run relationship (Cointegration) and analysis of cause and effect by the granger method. The research results show that: the analysis of the regression model show that the loan interest rate (LnR) has a negative effect on the economic growth of the Lao PDR with a statistical significance level of 0.05. For the money supply (LnM2) has no effect on the economic growth of the Lao PDR. For the short-run relationship analysis, it was found that the loan interest rate (LnR) has a relationship with the economic growth of Lao PDR with a statistical significance level of 0.01. For money supply (lnM2) there is no relationship with the economic growth of Lao PDR as well as the analysis in the regression model. For the results of the long-run relationship, it was found that both loan interest rates and money supply have no relationship with economic growth. The analysis of the cause and effect relationship, it was found that only the loan interest rate has an effect on the economic growth of the Lao PDR.
Behavior of Decision Making of Purchasing the One District One Product (ODOP) Product from Champhon District, Savannakhet Province
Authors:   Savannakhet University, Lao PDR, SOMBOUNSACK Phoumsaydavone
Published: September 2024

This research aims to explore the buying behavior of One District One Product (ODOP) and analyze the factors that affect the buying behavior of One District One Product in Champhon District, Savannakhet Province, which includes 3 types of products: natural incense, saving stove and ancient salt. It is a question of opinions from the people of Kaisonpomvihan city, Savannakhet province, using a questionnaire to interview buyers and shopkeepers. Also, there is a mobilization of ideas to promote one city, one product to become a business from producer groups, group heads and village heads. The statistics used for analysis include descriptive statistics: frequency, percentage and inferential statistics used Binary logit regression analysis. The results of the study found that most of the people of KaisonPhomvihan City focus attention on Intellectual products at a moderate level for 48.9%, most of them prefer to buy the saving stove from Buang Thong Village for 72.2%, buy natural incense from Nook Kok Village for 27.8% and 61.1% were introduced by friends, followed by family and relatives for 26.7%. The decision to buy the product is wise because the features of the product are suitable for household needs for 75.6% who will buy immediately when they see the product, the place of purchase is mostly from the grocery store in the merchant's house directly because of the convenience of travel. They also buy at Sawannxay Market and Samakyxai Market in Kaisonphomvihan City, Savannakhet Province cover for 37.8%. The findings of an examination of the variables gender, age, and educational level that influence a one district one product's purchasing behavior in Champhon District, Savannakhet Province; Product, price, location, sales promotion, and customer understanding are factors that influence purchase behavior. The test of model suitability, which resulted in a statistical value of Chi-squared 78.45, Prob = 0.00, indicated that all of the initial variables had an effect on the opportunity to buy a single product in a single district. According to the model's goodness of fit test, 31.2% of the factors influencing (Odop) product's purchasing behavior can be predicted with 100% accuracy using all of the initial variables. The behavior simulation model's forecast, along with the variables influencing the purchasing decisions of a single district's worth of products, is 83.96% accurate. In Champhon District, factors including age, educational level, and customer awareness influence one district one product purchasing behavior. A bachelor's degree or higher will increase the likelihood of a customer purchasing an Odop product by 17.3%, and when a customer has a total of one point of opinion and understanding, the likelihood of a customer purchasing an Odop product in Champhon will increase by 1.3% at the level of statistical significance. These are the results of taking into account each variable.
Viability of Open-Source Wind Resource Assessment Software
Authors: Karamanskia Stefan , Grobler Jan-Hendrik
Published: September 2024

As the world shifts towards renewable energy sources, newer and larger projects come to fruition every year. Renewable energy projects require a complex analysis before proceeding with development. Part of this analysis procedure is resource assessment. This research aims to determine the viability of using open-source software for industry applications. This is performed through a comparison of the current industry standard software, WAsP, and Continuum. A site with a wide range of land cover conditions is chosen to see how the different software performs under varying conditions. Multiple different measured wind data inputs are used in the comparison, allowing for a comprehensive study. A focus is made on the software’s accuracy, while also comparing the analytics and outputs. The interface, workflow, input data, outputs, computational cost and additional requirements of each software package are discussed. It is found that Continuum is accurate within 8% when compared to WAsP’s annual energy production and capacity factor outputs. Due to the open-source nature of Continuum, it also lends itself to further customised developments that could be advantageous when performing resource assessments. WAsP is found to have preferential reporting outputs, however. This research highlights the opensource resource assessment process, from input to output. Keywords: Wind resource assessment, open-source software, WAsP, Coninuum, AEP, wind energy software
Högtidsstunder i Ulvaboda
Authors: Af Klintberg Bengt
Published: September 2024

This article aims to depict a storyteller in the province of Blekinge in southern Sweden, Ivar Andersson (1899–1987), and his storytelling language. A part of his voluminous repertoire of stories and accordion music was documented in March 1970 by the current author and his colleague. Ivar Andersson answered a call regarding local legends from Bengt af Klintberg who was working at Radio Sweden at the time. A meeting was arranged to collect material for a radio programme and a series of folk music records. The article begins with a short biography of Ivar Andersson, primarily based on books by ethnologist Lynn Åkesson and Swedish emigration specialist Ulf Beijbom. The language in seventeen of Ivar Anderson’s stories is then analysed. All stories belong to those recorded during the meeting in Ulvaboda and they are rendered unabridged at the end of the article. The language used is characterised by a rich vocabulary, a frequent use of dialogue, repetitions of dramatically important elements, linguistic features aiming at establishing contact with the listeners and a conscious use of names of people and places in the stories. Recurring topics in the seventeen stories are encounters with a ghost called the Knight of Ebbeboda and stories about a local character, the former navvy Snus-Henrik (Snuff Henrik).
THE IMPACT OF FUZZY LOGIC ON LOGISTICS OPTIMIZATION: A COMPREHENSIVE REVIEW
Authors: Ferreira Fabiana de Sá
Published: September 2024

Fuzzy logic has emerged as a pivotal tool in the optimization of logistics processes, particularly for transportation routing, due to its capacity to handle uncertainties and nonlinear variables effectively. Developed by Lotfi Zadeh in the 1960s, fuzzy logic extends classical logic by allowing the modeling of imprecision and uncertainty, making it ideal for logistics contexts where variables like traffic conditions, delivery times, and customer demands can be highly variable. Unlike traditional models that require precise and constant variables, fuzzy logic operates with degrees of truth, integrating imprecise and subjective data. The application of fuzzy logic in transportation routing can lead to significant cost reductions by modeling variables as fuzzy functions. This approach accommodates variations in transit times and fuel costs and allows for dynamic route adjustments based on uncertain demand forecasts. Such flexibility enhances route optimization, reduces waste, and improves resource utilization. Additionally, fuzzy logic contributes to operational efficiency by managing nonlinear variables such as variable demand and weather conditions, enabling more adaptable and flexible route planning. Several studies underscore the efficacy of fuzzy logic in logistics. For instance, Lau et al. (2009) demonstrate the use of a fuzzy logic-guided genetic algorithm for optimizing vehicle routes considering both distance and time. Olenych and Gukaliuk (2017) present a Sugeno-type fuzzy inference system for transport network routing, while Olenych et al. (2018) extend this model to include additional variables such as traffic and road conditions. Huang et al. (2013) address the Fourth Party Logistics Routing Problem using fuzzy numbers, and Sheu (2007) introduces a fuzzy-based methodology for logistics distribution. Xiao and Hu (2017) optimize logistics for bulk commodities using fuzzy and neural network models, and Wang et al. (2014) propose a fuzzy clustering algorithm for customer grouping. These studies collectively highlight how fuzzy logic, combined with various optimization techniques, enhances decision-making and operational efficiency in logistics.
POTENCIALIDADE DA ATUAÇÃO DA EDUCAÇÃO FÍSICA NA ATENÇÃO PRIMÁRIA À SAÚDE: UMA REVISÃO SISTEMÁTICA
Authors: Mauricio Alex Aryel Ribas , Rodrigues Suely Maria , Lamim Josiane Batista , de Amorim Cleber Siman
Published: September 2024

Physical education in primary health care plays a vital role in promoting health, preventing disease and improving quality of life. Despite the clear benefits, implementing physical education practices in primary health care faces some challenges. In this sense, this research aims to investigate the role of physical education in primary health care, through a systematic review of the literature. This research was carried out through a systematic bibliographic review of the literature, of a qualitative nature. The articles used in this study were searched in the databases SciELO, Virtual Health Library (VHL), in Portuguese. The following descriptors were used: Educational practices; Health Education; Hypertension. The time frame comprises articles published from 2019 to January 2024. The data were analyzed with the help of the software Interface de R by Analyzes Multidimensionnelles de Textes et de Questionnaires (IRAMUTEQ). 35 qualified studies were found, however, 9 of these were included in the research. The analysis of studies on Physical Education practices in Primary Health Care reveals a convergence of opinions on the importance and need for integration of these professionals into the Unified Health System (SUS). There is agreement that physical activities and body practices are essential tools for promoting health and preventing diseases, and that their implementation must be carried out comprehensively, considering individual and collective contexts.
ANÁLISE TEMPORAL DA INCIDÊNCIA DE CASOS NOTIFICADOS DA DOENÇA DE CHAGAS NO BRASIL, NO PERÍODO DE 2010-2019
Authors: Costa Bárbara Maria Santana , Santos Junior Reynan Pereira , Santos Cynthia Silva , Silva Luciana Marques da , Dominguez Omar Ariel Espinosa
Published: September 2024

Chagas disease is caused by Trypanosoma cruzi and remains an important public health concern in Brazil, despite control measures adopted over the last few decades. The objective of this study is to carry out a temporal analysis of the incidence of reported cases of Chagas Disease in Brazil from 2010 to 2019, identifying trends and possible associated factors. Secondary data from the Notifiable Diseases Information System (SINAN) were used to calculate incidence rates by region and year. The statistical analysis included linear regression models to evaluate the temporal variation of notifications. The results indicate an overall reduction in notifications in the country during the period analyzed, with significant regional variations. The North region showed an increase in notifications, suggesting the need for greater surveillance and control strategies. In contrast, the Southeast and South regions maintained a stable downward trend, as a result of continued vector control measures. It is concluded that, although cases of Chagas disease are declining in much of Brazil, the disease still represents a public health challenge in some regions, especially in areas where oral transmission and vector synanthropy are on the rise.
Assessing the Effects of Trade-Related Exchange Rate Fluctuations on Credit Availability and Financial Stability in China
Authors: Kaur Palvinder
Published: September 2024

The recent trade wars between China, the United States, and Australia have significantly impacted global economic dynamics. As China relies heavily on international trade, these conflicts have led to fluctuations in the Chinese yuan (CNY), straining financial stability. This study aims to analyze the influence of this volatility in the exchange rate on China’s credit market, focusing on how fluctuations in the CNY against the U.S. dollar and Australian dollar have influenced credit availability, loan demand, and overall financial stability. The study employs a mixed-methods approach, combining an autoregressive distributed lag (ARDL) model. The findings reveal a strong correlation between exchange rate volatility and credit market conditions, with the depreciation of the CNY during trade tensions leading to tighter credit conditions and higher borrowing costs. Chinese banks responded by tightening lending standards and increasing interest rates, which helped mitigate some of the adverse effects. However, the ongoing nature of trade tensions underscores the need for continued vigilance and adaptive strategies, including economic diversification, strengthening financial infrastructure, and enhancing policy coordination to ensure long-term resilience and stability in China’s financial system.