bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients
Authors: Tuan Tran Anh , Trang Le Thanh Thao , An Tran Dai , Nghia Nguyen Huu , Loan Dao Thi Thanh 
Published: February 2024

Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among the recovered COVID-19 patients. Other techniques are also investigated, such as feature selection (Recursive Feature Elimination (RFE) and Extra Trees (ET) methods) and hyper-parameter tuning, to achieve a system that could effectively and quickly indicate mental health. Method/Analysis: To achieve the objectives, the study employs a dataset collected from recovered COVID-19 patients, encompassing information related to depression, anxiety, and stress. Machine learning models are utilized in the analysis. Additionally, feature selection methods and hyper-parameter tuning techniques are explored to enhance the model’s predictive capabilities. The performance of each model is assessed based on accuracy metrics. Findings: The experimental results show that SVM is the most suitable model for accurately predicting an individual’s mental health among recovered COVID-19 patients (accuracy ≥ 0.984). Furthermore, the ET method is more effective than the RFE method for feature selection in the anxiety and stress datasets. Novelty/Improvement:The study lies in the understanding of predictive modeling for mental health and provides insights into the choice of models and techniques for accurate and early detection. Doi: 10.28991/HEF-2024-05-01-01 Full Text: PDF
Investigating Statistical Features of the FX Bid Ask Series in a Small Economy with a Sizeable Informal Economy
Authors: Kushta Elmira , Vuka Erarda , Prenga Dode , Dika Ines 
Published: February 2024

The assessment of the effect of the informal use of a foreign currency on the corresponding FX rates toward the national currency is a very difficult task, requiring direct calculation and modeling. It comes mostly because of the unknown quantity of foreign money used in the informal sector, but also because of the lack of quantitative calculation models. To overcome this gap and to realize a qualitative description of this effect in a concrete economic environment, we propose herein a comparative analysis between the behavior of two typical FX rate series recorded in the Albanian currency market, the Euro-ALL and USD-ALL, providing that the Euro is used commonly as a national currency substitute in the informal economy and the USD is not. So, we have evidenced that the un-stationarity degree of the Bid and Ask spread distribution for the Euro-ALL FX series is higher than for the corresponding USD-ALL case, but with a lower variance. Those features occurring simultaneously can be explained by assuming that informal use of the Euro acts as an additional perturbation on the FX system, imposing high nonstationary, but at the same time it provides reservoir or source features for the money disbalances, reducing the average fluctuations. Next, the depth of the market measured by the average Bid-Ask Spread has resulted in a smaller price for the Euro currency, indicating a lower cost of the transactions and reinforcing the assumption regarding the distribution’s in-stationarity features. Based on those indicatory findings, we propose to realize indirect evidence for our assumptions by comparing the reproduction of the corresponding distribution using autoregressive models. In this case, we have evidenced that the distribution of the FX Euro-ALL spread can be reproduced better if we include in standard ARCHX (m, n, p) models a term that mimics the informality measure. When applying the same procedure for the USD-ALL spread, the resulting distribution has not matched equally well with the original ones. Those findings have been discussed in the framework of an alternative description of the effect of the informal use of foreign currency in a small economy with a sizeable informal sector, which convene our current system under analysis, but we believe that they can be applicable for similar economic environments. Doi: 10.28991/HEF-2024-05-01-02 Full Text: PDF
Environmental and Demographic Effects on Vector Borne Disease Incidence: Welfare Role on DHF Reduction
Authors: Bakri Samsul , Apriliani Adella Putri , Kurniawaty Evi , Mayaquezz Henky 
Published: February 2024

Many regions in developing countries are transitioning to an industrial economic model, accompanied by rapid population growth, which from one side is a welfare driver (WLF) and on the other side is a demographic pressure, especially a health problem such as vector-borne disease. The problem climaxes when this transition is always accompanied by environmental degradation (ENV), which begins with deforestation. Objective: [1] Determine the direct influence of: [1a] Demographic on DHF incidence, [1b] Demographic on Welfare improvement, [1c] Welfare on DHF incidence, [1d] Environment improvement on DHF incidence, [1e] Environment improvement on performance Welfare; and [2] The indirect influence of Welfare in mediating [2a] Demographic pressure and [2b] Environment improvement on DHF incidence. Research Method: Lampung Province was used as the research locus. Forest Resources Inventory Laboratory of Lampung University as a place for analysis. Postulate SEM (Structural Equation Model) was employed at a 95% confidence level. The endogenous variable was vector-borne disease (reflected by DHF incidence). The two exogenous variables were DMG (reflected by population density and the proportion of age of productive, industrial, and service workers) and ENV (reflected by maximum & minimum air temperature, forested areas, and other land uses). The mediating variable is WLF (reflected by poverty and HDI). Findings: [1] Directly, with a significant effect: [1a] DMG pressure increases DHF (P=0.000) and [1.b] WLF (P=0.000); [1.c] Environment improvement increases welfare (P=0.000) while [1d] reduces DHF; and [1.e] WLF improvement can reduce DHF (P=0.010) and [2] The role of WLF improvement [2a] can significantly reduce the incidence of DHF due to demographic pressure (P=0.007) while also [2b] amplifying environmental improvement in reducing DHF significantly (P=0.023). Novelty:To reduce DHF incidence, Welfare improvement can reverse the negative effects of Demographic pressure as well as act as an amplifier for the role of environmental improvement. Doi: 10.28991/HEF-2024-05-01-03 Full Text: PDF
Workhorse or White Elephant? End User Acceptance of ERP System in a Shared Service Center
Authors: Subbarao Anusuyah , Khan Nasreen , Ramli Muhammad A. , Siddika Aysa 
Published: February 2024

Businesses globally heavily invest in Enterprise Resource Planning (ERP) implementation to meet high customer demands and maintain competitiveness. Despite significant investments, underutilization hampers reaping the system's full benefits, leading to stagnant or adverse performance. Hence, this study aims to uncover reasons for the lack of end-user adoption of ERP systems. It focuses on the correlation between performance expectancy, effort expectancy, social influence, and organizational support in determining ERP system acceptance by end users. This study utilized a quantitative methodology. Data were collected from 392 respondents within a Malaysian shared service center. Multiple regression analysis was conducted employing the UTAUT model and perceived organizational support theory to evaluate and interpret the collected data. The study’s key findings include the significant positive association between performance expectancy and ERP system adoption, reinforcing the influence of effort expectancy on technology adoption. Despite its positive effects, social influence had little effect on end-user adoption. Additionally, it was observed that ERP system adoption was consistently facilitated by organizational support. This study confirms the essential factors that drive the adoption of ERP systems by end-users. It emphasizes the crucial role of leadership in prioritizing these elements for organizations to enhance user acceptance and ensure the successful implementation of ERP systems. Doi: 10.28991/HIJ-2023-04-04-013 Full Text: PDF
Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks
Authors: Abdul Razak Siti Fatimah , Fang Ku Yee , Kamis Noor Hisham , Muhammad Amin Anang Hudaya , Yogarayan Sumendra 
Published: February 2024

Connected vehicles are more vulnerable to attacks than wired networks since they involve rapid mobility, continuous data flow across connected nodes, and dynamic network design in a distributed network environment. Distributed Denial of Service (DDOS) is one of the most common and dangerous security attacks on connected vehicle networks. Attackers can remotely control malicious nodes that are programmed to attack other nodes known. The compromised nodes are known as botnets, which will constantly flood the target nodes with User Datagram Protocol (UDP) packets, disrupting the target nodes data flow and operation. Hence, the goal of this research is to create and simulate a vehicular bot-based Distributed Denial of Service (DDoS) assault in connected vehicle networks. A simulation-based methodology is implemented to observe the impact of the number of bots, DDoS rate, and maximum bulk packet size on network performance. Using the NS-3 network simulator, 73 random mobile vehicle nodes with up to 100 vehicle bots were simulated, and the results are discussed. Regardless of the computational constraints, the findings from this study adds to understanding the risks and problems associated with data transmission by analyzing the impact of vehicular bot-based DDoS attacks on connected vehicle performance. Doi: 10.28991/HIJ-2023-04-04-014 Full Text: PDF
Impact of Climate Change on the Performance of Household-Scale Photovoltaic Systems
Authors: Bozsik Nándor , Szeberényi András , Bozsik Norbert 
Published: February 2024

The objective of this article was to investigate the impacts of climate change on photovoltaic systems among renewable energies by the end of the 21st century. One hypothesis posited that due to decreased cloud cover as a result of changing climate, the geographical region under examination would receive more solar irradiation—usable by photovoltaic panels—which would in turn increase the annual electrical energy production of these systems. Another hypothesis suggested that the average temperature increase, associated with changing climate conditions, would detrimentally affect the efficiency of electricity production in photovoltaic systems. The study was based on the simulation of a household-scale photovoltaic model. This simulation calculated the system's performance on an hourly basis depending on inputs and summed these to produce an annual value. Input values were derived from climate scenario databases. These variables included global horizontal irradiance, direct horizontal irradiance, temperature, and wind speed. The output was the aforementioned quantity of annual electrical energy production. An analysis occurred between the annual average global horizontal irradiance and the annual average air temperature in relation to the quantities of annual electrical energy production. Pearson and partial correlation examinations among the variables demonstrated that unfavorable scenarios resulted in reduced efficiency of photovoltaic electrical energy production, primarily due to rising temperatures. Among other contributions, this article can support research into the active cooling of photovoltaic systems and the examination of their viability to mitigate efficiency losses caused by current and future temperature increases. Doi: 10.28991/HIJ-2024-05-01-01 Full Text: PDF
The Influence Factors of Economic Development of Tourism Industry
Authors: Li Mei 
Published: February 2024

Objectives: This paper aims to conduct research on the factors that impact the advancement of the tourism economy in order to adapt to the rapidly changing demands of the tourism market. Methods: A case study was performed using a gray correlation model to analyze the tourism industry in Henan Province. Findings: Among the first-level indicators, tourism economic support had the highest correlation with tourism economic development, followed by tourism physical base, tourism transportation influence, tourism human resources, and tourism information service. Then, relevant suggestions were given according to the analysis results. Novelty:The novelty of this article lies in utilizing the gray correlation model to examine the factors that influence the tourism economy and analyzing the gray system with incomplete information. Doi: 10.28991/HIJ-2024-05-01-03 Full Text: PDF
Sociological Impact of Cyber Laws on Media: Virtue Community and Controversies
Authors: Noval Sayid Muhammad Rifki 
Published: February 2024

This study aims to delve into the sociological dimensions and repercussions of cyber law on cyber-based mass media and social media freedoms in Indonesia while shedding light on questionable aspects of the country’s cyber laws. Employing qualitative research methods encompassing theoretical and investigative perspectives, the study combines normative juridical research with a legal, sociological approach and an observational survey approach. Data collection involved an examination of legal materials on information technology alongside interviews with cyber-policymaking bodies, stakeholders, cyber-media houses, journalists, bloggers, and social media influencers. The collected data were scrutinized through descriptive analysis to clarify the sociological and legal impacts of Indonesia’s cyber law on media and social media. The findings reveal that implementing cyber law in Indonesia carries substantial sociological implications for both the media and society. It highlights questionable aspects of the existing cyber laws, as they pose challenges to upholding the rule of law and safeguarding social and media freedoms in the country. The insights derived from this study hold relevance for research endeavors focusing on the sociological aspects of cyber law in developing countries. This study contributes to a deeper understanding of the evolving digital landscape and emphasizes the need to address pertinent issues while balancing legal regulations and societal freedoms. Doi: 10.28991/HIJ-2024-05-01-04 Full Text: PDF
Pola Pengelolaan Dana Operasional Sekolah (BOS) di Sekolah Menengah Pertama (SMP) Negeri 1 Lingsar Kabupaten Lombok Barat
Authors: Bohari Bohari , Asrin Asrin 
Published: February 2024

Penelitian ini bertujuan untuk mengetahui pola pengelolaan Dana Bantuan Operasional Sekolah di SMP Negeri 1 Lingsar Kabupaten Lombok Barat. Penelitian ini menggunakan jenis penelitian kualitatif deskrptif, teknik pengumpulan data dengan metode wawancara, observasi dan dokumentasi. Dalam pengelolaan Dana Operasional Sekolah terdapat beberapa tahapan dan proses yaitu perencanaan, pengorganisasian, pelaksanaan,dan pengawasan. Hasil penelitian menunjukkan bahwa penggunaan pola pengelolaan dana Bantuan Operasional Sekolah (BOS) menggunakan pola alternatif lebih cenderung dipersepsi positif dalam upaya menerapkan prinsip transparan dan akuntabilitas, karena semua guru mempunyai kesempatan ikut terlibat dalam pengelolaan Dana BOS tersebut, pengelolaan dana bos sudah berjalan cukup baik karena adanya perencanaan dengan penyusunan RKAS yang melibatkan semua unsur baik Kepala Sekolah, Guru dan Komite Sekolah, kesesuaian aturan dan petunjuk teknis penggunaan dan pelaksanaan dana BOS dengan realisasinya, serta pelaksanaan pengawasan oleh kepala sekolah dan pelaporan pertanggung jawaban penggunaan Dana BOS kepada Sekolah, kota/kabupaten dan pemerintah pusat yang tepat waktu. Ini menunjukkan bahwa sekolah telah melaksanakan proses pengelolaan Dana BOS sesuai dengan aturan pemerintah atau petunjuk teknis dalam pengelolaanya.
Augustine and the KK Principle
Authors: Weiss Yale 
Published: February 2024

Abstract
In On the Trinity 15.12.21, Augustine appears to endorse the KK principle (that if one knows that φ, then one knows that one knows that φ) in the course of giving an argument – the Multiplicity Argument – against the Academic skeptics. Gareth Matthews has disputed Augustine’s endorsement of the KK principle and presented a different reading of the Multiplicity Argument. In this note, I show that Matthews’s construal of the Multiplicity Argument is both interpretively and technically defective and defend the attribution of some form of the KK principle to Augustine.
Financial And Macroeconomic Performance Effect On Net Interest Margins At Conventional Commercial Banks In Indonesia
Authors: Soeharjoto Soeharjoto , Tribudhi Debbie Aryani , Yusran Husna Leila , Masyhudi Lalu 
Published: February 2024

Banking is an intermediary institution that serves as the driving force of development in Indonesia. Sustainability this institutions depends on the profit derived from Net Interest Margin. However, in its development, bank is influenced by internal performance and macroeconomic conditions. Aims of this study is to determine influence of financial and macroeconomic performance on Net Interest Margin in conventional banking in Indonesia. Net Interest Margin used as dependent variable and Operating Expenses and Operating Income, Loan to Deposit Ratio, interest rates, exchange rates as independent variable. Used regression method, and monthly time series data form financial services authority in 2017-2020. Loan to Deposit Ratio and interest rate have a positive and significant effect on Net Interest Margin while the exchange rate has a negative and significant effect to Net Interest Margin. However, Operating Expenses and Operating Income have not been shown to affect Net Interest Margin. If Banking performance improves, stable macroeconomic conditions, and regulations that support the banking sector, the Net Interest Margin conditions can be conducive
Servicecape Analysis To Customer Satisfaction In Delivery Service Company With Customer Trust As Intervening Variable
Authors: Mulyono Hardi , Fikri Muhammad Hilman , Syamsuri Abd Rasyid 
Published: February 2024

The number of people who send goods to each other makes delivery services very important. The development of internet technology has a great contribution to the community need for goods delivery services. For buying and selling goods business , it is not only limited to face-to-face but also be done through online media. This research was conducted using sampling technique namely convenience sampling with consideration of convenience, such as respondents who are easier to find by researchers (Sugiarto, 2011). Respondents in this study were Costumer s who use delivery service companies with the following criteria: Have used delivery services in the last six months. The number of respondents used was as many as 120 respondents with 22 types of attributes in the questionnaire. The results of the study showed that there was a positive and significant relationship between the servqual variable and Costumer trust; there was no positive and significant effect between servicecape variables on Costumer trust; service quality on Costumer loyalty did not have a significant and positive effect; there was no effect of servicecape on Costumer loyalty; there was a positive and significant effect of the Costumer trust variable on Costumer loyalty.
Teaching Materials Science to High School Students at the ASM Eisenman Camp
Authors: Mueller Erik M. , Hogue Frauke , Drake Dana , Connelly Michael , O’Brien Mary K. 
Published: February 2024

Abstract
The hands-on experience provided during an Eisenman Materials Camp for students is a compelling way to excite young people to consider a STEM career. The volunteer-lead curriculum pairs a weeklong failure analysis project with many hands-on heat treating, metal casting, and materials characterization experiments. This article provides background about the Eisenman camp as well as the other student camps organized by the ASM Materials Education Foundation and discusses their benefits and long-term impact.
BIM technology application in construction industry of Vietnam
Authors: Hieu Le Trung , Dat Nguyen Van , Hung Ngo Xuan 
Published: February 2024

In Vietnam, the concept of building information modeling (BIM) has become quite popular in the construction industry. The BIM application optimizes the information exchange and coordination between participants in various project, helps to visualize design, construction and project management processes, ensures the project quality and various benefits at a later stage of the project management and operation.Purpose: A review of the current situation and trends of BIM application in construction investment projects as well as inevitable digital transformation in the construction sector of Vietnam.Methodology: Statistical and comparative-historical methods, survey data obtained through a questionnaire in the form of statistical analysis using charts describing the BIM application in the construction industry in Vietnam.Research findings: It is shown that BIM is mostly used by enterprises that directly benefit from modern technologies. The BIM reflects the diversity of research subjects, as is can be applied at different stages by many project stakeholders. It is found that many surveys are distributed rather evenly, confirming that all key project participants are interested in using BIM.Originality: This study supplements information on the current status and trends of the BIM application in construction investment projects in different countries, including Vietnam. Thus, the BIM is increasingly being used in the construction industry, but there is still a lack in qualified personnel who can use this technology.
Stress-strain state model of building metal frame made of tube trusses and bar joists with regard to geometrical imperfections
Authors: Podshivalov I. I. 
Published: February 2024

The paper studies the metal frame industrial building during the reconstruction of its bar joists having imperfections in the form of non-uniform geometric deviations from the vertical position.Purpose: The aim of this work is to calculate the allowable value of horizontal deviation of bar joists from the vertical position.Methodology: The computational justification of using roof bar joists with regard to geometric imperfections in the reconstruction of the industrial building, is provided by modeling the stress-strain state of the metal frame in Ing + 2021, MicroFe software using the finite element model.Research findings: The limiting value of the geometric deviation from the bar joist plane, at which their vertical position or replacement is not required, is justified by calculation.
Artificial intelligence in construction industry
Authors: Kashiripoor M. M. , Nikolyuk V. A. 
Published: February 2024

Purpose: The aim of this work is to study new trends in construction, their advantages and disadvantages, application of innovations, analysis of operability and efficiency of new technologies in the global construction industry.Methodology/approach: The literature review and systematization, study the expert opinion on open access resources, portals of private enthusiasts involved in seeking for ways to introduce and implement modern technologies in the construction industry.Research findings: The paper presents methods and conditions of using modern technologies in the world practice, disadvantages and advantages of technologies, the concept of artificial intelligence and its application in the construction industry.Value: The study of currently used modern technologies in the construction industry and their implementation in world practice.