bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Cash Management and Credit Policy on Liquidity and Profitability of MSMEs in Bandung City
Authors: Hidayat Gustina , Kartiwa AA , Putro Herman Purwoko
Published: September 2024

This study examines the impact of Cash Management and Credit Policy on the Liquidity and Profitability of Micro, Small, and Medium Enterprises (MSMEs) in Bandung City. Utilizing a quantitative research approach, data were collected from 210 MSMEs through structured questionnaires employing a Likert scale ranging from 1 to 5. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results reveal that both Cash Management and Credit Policy have significant positive effects on the Liquidity and Profitability of MSMEs. Specifically, effective Cash Management enhances a firm’s ability to meet short-term obligations, thereby improving Liquidity, while robust Credit Policy practices directly contribute to both Liquidity and Profitability by ensuring timely collections and minimizing the risk of bad debts. These findings underscore the critical role of strategic financial management in sustaining the financial health and growth of MSMEs in Bandung City.
The Effect of Enterprise Resource Planning (ERP) System Implementation, User Training, and Management Support on User Satisfaction in Manufacturing Companies
Authors: Sudarmo Sudarmo , Vandika Arnes Yuli , Fahrijal Rival
Published: September 2024

This study examines the impact of Enterprise Resource Planning (ERP) system implementation, User Training, and Management Support on User Satisfaction within manufacturing companies. Using a quantitative approach, data were collected from 160 respondents and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results indicate that all three factors—ERP system implementation, User Training, and Management Support—have a positive and significant effect on User Satisfaction. Among these, User Training emerged as the most influential factor, followed by Management Support and ERP system implementation. These findings underscore the critical role of human-centric factors in ensuring successful ERP adoption and highlight the importance of comprehensive training and strong management involvement. The study offers practical insights for organizations aiming to enhance user satisfaction with ERP systems, emphasizing the need for a holistic approach that integrates technical and human factors.
Evolution of Cloud Computing Research in Information Systems
Authors: Judijanto Loso , Vandika Arnes Yuli , Muhtadi M. Ammar
Published: September 2024

Cloud computing has become a cornerstone of modern information systems, driving significant advancements across various industries. This study conducts a bibliometric analysis to explore the evolution of cloud computing research within the field of information systems, focusing on key trends, influential publications, and author collaborations. The analysis, based on data from Google Scholar, reveals that security has consistently been a critical area of focus, reflecting the ongoing concern for safeguarding cloud environments. Additionally, the integration of cloud computing with emerging technologies like the Internet of Things (IoT) and big data is highlighted as a growing trend, emphasizing the expanding applications of cloud computing. The study also identifies distinct research clusters, suggesting opportunities for enhanced collaboration across different subfields. While the findings offer valuable insights for both researchers and practitioners, the study acknowledges its limitations, including the reliance on a single database and the potential oversimplification of complex research interactions. Future research should consider these limitations and explore new avenues to further understand and enhance cloud computing practices.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry
Authors: Yahya Lucky Mahesa , Suharni Suharni , Hidayat Deddy , Vandika Arnes Yuli
Published: September 2024

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
User Interface and User Experience Design for Vidyanusa on Android Mobile Phones Using an Evaluation Framework
Authors: Pratama Aditya
Published: September 2024

This research will evaluate the User Interface and User Experience (UI/UX) of Vidyanusa for Android mobile phones. User Experience will be measured using sub-variables such as attractiveness, agility, efficiency, dependability, stimulation, and novelty. The object of this research is User Experience. The results of this research will be used to evaluate Vidyanusa's Android mobile product to achieve a product that is suitable for users at the junior high school level. User experience testing on the Vidyanusa mobile application uses evaluation methods with query techniques. Evaluation is a test of the level of system usability and functionality that is carried out in the laboratory, in the field, or in collaboration with users. What is evaluated is the design and implementation, and the technique used is the evaluation technique with the User Experience Questionnaire. The results of the user experience testing of the Vidyanusa mobile application tend to be negative on the points of attractiveness, perspicuity, efficiency, dependability, and novelty based on the User Experience Questionnaire in the benchmark table, but positive on the point of stimulation.
Effect of Transfer Pricing, Capital Intensity and Audit Committee on Tax Avoidance
Authors: Firdausyah Nori , Halim Moh , Suharsono Riyanto Setiawan
Published: September 2024

This research was conducted with the aim of providing empirical evidence of Transfer Pricing, Capital Intensity and Audit Committees on Tax Avoidance (Case Study of Energy Sector Mining Companies Listed on the Indonesia Stock Exchange for the 2021-2022 Period). The sample selection technique was carried out using the porpusive sampling method. The total population in this study was 82 companies with a sample size of 31 companies that met the sample criteria. Data collection in this research uses secondary data obtained from the annual financial reports of companies operating in the mining industry, energy sub-sector which are listed on the Indonesia Stock Exchange for the 2021-2022 period. This research method uses a quantitative method with data testing used using SPSS version 26. The data analysis used is descriptive statistical analysis. The results of this research show that transfer pricing, capital intensity, and audit committees have a positive and significant influence on tax avoidance, such as which was tested using t test analysis and F test.
The Influence of Family Environment, Social Media Utilization, Confidence, Motivation on Entrepreneurial Interest in Generation Z in Mataram City
Authors: Agustin Verren Regina , Maryam St. , Daeng Akung
Published: September 2024

In the development of the economy and the equitable distribution of income in a country, entrepreneurs have a big role in it. With the number of entrepreneurs increasing and continuing to increase, it marks that the country is a country with a developed economy. Currently, Generation Z is the largest generation so Generation Z will have an important role if their human resources are productive and competitive. This study aims to analyze the influence of family environment, social media utilization, confidence, and motivation on entrepreneurial interest in generation z. The population in this study is Generation Z in Mataram City. According to the latest data in 2022, the sample used was 100 respondents, research methods with quantitative methods, data collection techniques with questionnaires, data were processed with the help of IBM SPSS.27 test tools and the tests carried out were validity, reliability, classical assumptions, multiple linear regression analysis tests, and determination coefficients (R2). To test the hypothesis in this study, the F test (simultaneous) and the t test (partial). The results of the study showed that (1) There was a partial influence of family environment variables, social media utilization, confidence, and motivation on Generation Z's entrepreneurial interest in Mataram City (2) There was a simultaneous influence of family environment, social media utilization, confidence, and motivation on entrepreneurial interest.
Analysis of the Influence of Tourist Visits and Hotel Occupancy Rate on Labor Absorption in West Nusa Tenggara Province
Authors: Syafinah Shofyah , Salmah Emi , Masrun Masrun
Published: September 2024

This study aims to analyze "The influence of tourist visits and hotel occupancy rates on labor absorption in West Nusa Tenggara Province". The type of research used in this study is quantitative research with a descriptive approach. The type of data used in the study is time series data. The data was processed using the SPSS application using the Multiple Liniear Regression analysis method. The results of this study show that simultaneously the independent variables of tourist visits (X1) and hotel occupancy rate (X2) do not have a significant effect on the dependent variable, namely labor absorption (Y) even though it has a strong correlation. The results of the partial test show that Tourist Visits and Hotel Occupancy Rate have no significant effect on Labor Absorption in the hospitality sector. The results of multiple regression testing of the data in this study recommend the regression equation: Y = 2700.556 + 0.002 X1 + 0.001 X2. The constant value is 2700.556, the coefficient X1 is 0.002 and the hotel occupancy rate is 0.001.
Effects of Entrepreneurship Training, Digital Innovation, and Social Capital on Business Sustainability in the Creative Industry Sector
Authors: Judijanto Loso , Ode Haruni , Rukmana Arief Yanto , Antoni Antoni , Thalib Najdah
Published: September 2024

This study investigates the impact of Digital Innovation, Entrepreneurship Training, and Social Capital on Business Sustainability within the creative industries sector. Utilizing a quantitative research approach, data were collected from 150 business owners and managers using a structured questionnaire with a five-point Likert scale. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) to test the proposed hypotheses. The results reveal that all three factors—Digital Innovation, Entrepreneurship Training, and Social Capital—have positive and significant effects on Business Sustainability. Specifically, Social Capital emerged as the strongest predictor, followed by Digital Innovation and Entrepreneurship Training. These findings underscore the importance of embracing digital technologies, investing in entrepreneurial education, and cultivating strong social networks to enhance the sustainability of creative enterprises. The study provides valuable insights for practitioners, policymakers, and educators in the creative industries, offering practical strategies for fostering long-term business success.
Entrepreneurial Traits and Firms Performance: Evidence from SMEs in Nigeria
Authors: Okoli Nuel , Okoli Ifeanyi
Published: September 2024

The purpose of this research is to determine the influence of entrepreneurial traits on firm’s performance in selected small and medium enterprises (SMEs) in Anambra State, Nigeria. The research was supported by trait theory of entrepreneurship. The research employed survey research design. The population target consists of 548 registered small and medium-scale enterprises located in Awka South L.G.A, Anambra State. The study used sample of 240 respondents drawn from the registered small and medium-scale enterprises. Stratified random sampling was employed in identifying respondents. A structured questionnaire was incorporated in data collection. Face and content validity was adopted in the study. Cronbach alpha coefficient was useful in examining the research instrument. Cronbach alpha coefficient of 0.7 was used for reliability. The assembled data was examined by means of descriptive statistics and inferential statistics assisted by Statistical Package for Social Sciences (SPSS). Data presentation entailed usage of tables and percentages. The findings indicated that entrepreneurial traits had a positive significance influence on the performance of SMEs. The research concluded, risk taking propensity, innovativeness and resilience influence performance of SMEs in Anambra State Nigeria having been statistically significant and therefore considered. The study recommended that prospective entrepreneurs should be mindful of these factors and take advantage of them in their quest to improve their firm’s performance and competitiveness.
Meaning Construction of Celebrities Popularity as a Political Commodity in Millenial Generation
Authors: Martian Ferra , Harum Alexandria Cempaka
Published: September 2024

This research uses a qualitative research and constructivist paradigm. Data collection technique using in-depth interviews with representatives of millennial political activists in Indonesia from PSI (Partai Solidaritas Indonesia). Research result shows meaning of politics according to PSI millennial generation politicians includes: life, self-awareness, basic obligations, benefiting people many, power, interests, collective work, policies binding, bringing change, bringing prosperity. The political meaning of these components are the internalization of those whoever been in apolitical thinking. There is further scrutiny regarding the progress of Indonesian celebrity politicians, who are considered to only be based on the aspect of being close to millennials but not touching conscience, people's beliefs and ethical principles. The involvement of millennial politicians is in practical politics including a form of self-actualization by participating fighting for anti-corruption and anti-intolerance, with enthusiasm Bhinneka Tunggal Ika includes: transparency, honesty, never giving up, breaking old standards, and competing skillfully so that you can showing pride in politics. Millennial politicians tried to attend with a new political spirit and style as a breakthrough and antithesis from baby boomer.  On the other hand, society has not been fully touched by political literacy so it does not attach much importance to the vision and mission and background of politicians.
Wearable devices and workplace productivity: a bibliometric analysis of their integration into professional environments
Authors: Schwambach Gislene Cássia dos Santos , Sott Michele Kremer , Schwambach Rodrigo Evaldo
Published: September 2024

This study analyzes workers' perceptions and acceptance of the use of wearable devices in the workplace. A bibliometric review supported by complex network analysis was carried out, through which the driving themes of the area were identified. The results indicate the increase in the use of these technologies and the factors linked to employee acceptance or rejection. Workers' perceptions and the potential benefits of wearable technologies are also discussed. The findings reveal factors influencing technology acceptance and highlight organizational and technological characteristics that facilitate adoption for effective daily use. The study contributes to the literature by evaluating the feasibility and acceptance of wearable technologies within companies. It underscores that the lack of employee involvement in device selection is a significant barrier to adoption.
Challenges of sustainable tourism management in a small Historical town from the perspective of accommodation managers
Authors: Vieira Isabel , Rodrigues Ana , Alén Elisa , Sousa Nuno
Published: September 2024

The tourism industry has made significant efforts to adopt more sustainable practices in order to minimise environmental impacts. Despite the general recognition of these initiatives, there is a lack of studies investigating the perceptions of tourism companies in relation to the application of Sustainable Tourism Development (STD) principles. This study therefore aims to understand the attitudes of accommodation managers towards implementing sustainable tourism development practices, as well as the challenges they face when incorporating these principles into their business models. Adopting a qualitative approach, the research used MAXQDA20 software to analyse the data. The results revealed that the majority of managers recognise that challenges arising from external factors have resulted in significant learning for the management of their accommodation. However, the research concludes that accommodation managers are not yet fully capable of making a positive contribution to STD, and there are difficulties in fully integrating sustainable principles into their business models. The uniqueness of this research lies in its original contribution to filling a gap in the existing literature, offering an unprecedented insight into the perceptions of managers and the challenges they face in implementing the principles of STD.
Detecting Financial Statement Fraud Using the Hexagon Fraud Theory Approach in Financial Sector Companies
Authors: Khoyumi Khoyumi , Puspa Inggani Adistya , Hadiyati Siti Nur
Published: September 2024

Good companies do not commit fraud and provide accurate and relevant information. Therefore, financial reports must be made as well as possible in order to provide accu-rate information to its users. This research is quantitative in nature to analyze the influence of the Fraud Hexagon Theory which is proxied by sixteen variables, consist-ing of four variables from the stimulus element (financial targets, external pressure, financial stability, personal financial needs), three variables from the opportunity ele-ment (supervision ineffectiveness, auditor quality and nature of the industry), two variables from the rationalization element (auditor turnover and value accruals), two variables from the capability element (director turnover and CEO education), two variables from the ego element (CEO duality and the number of CEO photos in the annual report), and three variables from collusion elements (political connections, audit fees and collaboration with government projects) on fraudulent financial statements. This research uses secondary data with purposive sampling. In 2019-2022, there are 63 financial sector companies listed on the Indonesian Stock Exchange. The results of this research prove that financial targets, financial stability, supervisory ineffective-ness, nature of industry and CEO duality influence financial report fraud.
Competitive Improvement Strategies of The Coconut Oil Industry at PT XYZ
Authors: Aulia Ramadhan Muhammad
Published: September 2024

This study aims to analyze and formulate an effective strategy in increasing the competitiveness of the coconut oil industry in PT XYZ. In the midst of increasingly fierce competition, PT XYZ needs to implement the right strategy to maintain and expand its market share. This study uses a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis approach to identify internal and external factors that affect the company's competitiveness. In addition, Porter's analysis of five strengths was also used to understand the industry dynamics and competitive position of PT XYZ. The results of the study show that PT XYZ must focus on improving production efficiency, diversifying products, improving quality, and expanding its distribution network to strengthen its position in the global market. The proposed strategy recommendations include product innovation, improving quality standards, and strengthening the company's branding.
Analisa Perbandingan Ekspansi Gojek Ke Empat Negara (Filipina, Singapura, Thailand dan Vietnam)
Authors: Brigitte Mogontha Demita Ginna , Aliabbas Anton
Published: September 2024

Penelitian ini membahas perbandingan ekspansi Startup Gojek di era globalisasi ke empat negara. Fokus penelitian adalah dari sudut pandang perusahaan Gojek sebagai MNC. Metode penelitian yang digunakan adalah kualitatif dengan wawancara serta Studi Pustaka. Tantangan dan hambatan ekspansi Gojek di Filipina adalah regulasi. Untuk Singapura adalah regulasi, kepemimpinan dan supply mobil. Untuk Thailand adalah regulasi, kepemimpinan dan persaingan pasar. Untuk Vietnam, yaitu terkait regulasi dan kepemimpinan. Terdapat dua variabel yang sama untuk hambatan ekspansi yaitu regulasi dan kepemimpinan. Untuk Singapura, peluang yang tercipta adalah terkait kompetitor Gojek. Kedua, peluang kerja sama dengan operator taksi lain.  Sedangkan untuk Vietnam, peluangnya adalah kerja sama dengan perusahaan transportasi lain.  Dari hasil ini, dapat dilihat bahwa kesamaan peluang adalah kerja sama. Alasan pemilihan masing – masing negara adalah karena kesamaan karakteristik pengguna dan market serta faktor pesaing usaha. Terkait strategi yang dipakai dan alasan pemilihan strategi yaitu melokalkan layanan dan perusahaan Gojek kemudian menyediakan layanan sesuai dengan kebutuhan. Strategi awal yang dipakai yaitu penggunaan nama yang berbeda, namun kemudian diganti dengan strategi baru, yaitu penggunaan satu nama yang sama “Gojek” di masing – masing negara. Respon masing -masing negara tujuan, di Filipina ekspansi Gojek terkendala  regulasi, di Singapura, Thailand dan Vietnam,bpemerintah disana terbuka karena alasan  fair market, investasi, termasuk lapangan pekerjaan. Saat Gojek melakukan ekspansi, pemerintah Indonesia mendukung. Dampak dari ekspansi Gojek adalah mengimbangi pesaing usahanya. menjadi kebanggaan serta membawa Corporate Diplomacy Indonesia. Ekspansi mempengaruhi nation branding dan berdampak pada Statecraft Indonesia. Hal ini juga menunjukkan Diplomasi Publik yan dilakukan Gojek bermanfaat bagi Indonesia.
ANALYSIS OF BIDIRECTIONAL DC-DC POWER CONVERTERS FOR SCREENING SYSTEMS OF RETIRED BATTERIES
Authors: VOICILA TEODOR-IULIAN , SERITAN GEORGE-CALIN , ENACHE BOGDAN-ADRIAN
Published: September 2024

With the rapid expansion of energy storage technologies, the concept of the second-life battery has become a central element in sustainability and energy efficiency efforts. This innovative approach refers to the further use of batteries, which have reached the end of life, integrating them into applications with lower energy requirements than those in the automotive industry.  The batteries must first be evaluated using a screening system that contains a power converter to apply different test profiles and a measurement and control circuit. This article outlines key performance considerations of bidirectional DC-DC power converter topologies and compares them using multi-criteria analysis to determine which design is more suitable for screening systems. The chosen power converters are further studied in the LTspice program for a detailed comparison based on the obtained results.
ENHANCED MODEL-FREE PREDICTIVE CONTROL FOR VOLTAGE SOURCE INVERTERS USING AN ADAPTIVE OBSERVER
Authors: LAMMOUCHI ZAKARIA , LABIOD CHOUAIB , SRAIRI KAMEL , Benbouzid Mohamed
Published: September 2024

In this paper, a free model predictive control based on the active vector execution time (AVET-MFPC) using an adaptive observer is proposed for two-level voltage source inverters. The traditional model-free predictive control (MFPC) uses the sampling period to select one voltage vector for all candidate vectors according to the minimizing cost function principle. With the proposed control, two vectors are selected at one sampling period. The first vector is an active vector that uses the execution time of the active vector to select it, while the second one is a zero vector as it is applied after the active vector. The execution time is calculated using the ultra-local model (ULM) equation. In the traditional MFPC, the factor in the ULM is chosen with approximate values ranging between ±50 % of the nominal value. This paper proposes an adaptive sliding mode observer (ASMO) with an improved design to observe the variation of this factor, especially in case of mismatch parameters and during a step change in the reference signal. Combining the proposed ASMO observer and the AVET-MFPC controller gives faster system response, good tracking results, and less computational burden. Finally, the effectiveness of the proposed control model is approved and confirmed under various conditions, as well as the simulations carried out and the results obtained.
GENERALIZATION OF THE TIME INFINITE IMPULSE RESPONSE DIGITAL FILTERS
Authors: PERIŠIĆ DJURDJE
Published: September 2024

This work describes the generalization of a new kind of infinite impulse response (IIR) digital filter to filter the pulse signal periods. This kind of digital filter was designed using the previously designed frequency-locked loops (FLL), which are based on the time measurement and processing of both the input and output periods. FLL is a linear discrete system. Starting from the general form of difference equation of the IIR FLL digital filter of the third and fourth orders, the transfer functions and Z transform of the outputs are developed for the IIR FLL digital filter of any order. To demonstrate the capabilities and utility of the general equations, they were applied to design a suitable IIR digital filter using a fourth-order FLL. The filtering abilities and the analyses in the frequency domain of the designed low pass IIR digital filter are demonstrated using the theory of IIR digital filter and the corresponding MATLAB tools. Analyses of the fourth-order IIR FLL digital filter were also performed in the time domain using computer simulation in MATLAB.
A RANDOMIZED CARRIER-BASED DISCONTINUOUS PULSE WIDTH MODULATION STRATEGY FOR NEUTRAL POINT CLAMPED THREE-LEVEL INVERTER
Authors: BOUDOUDA AIMAD , AIBECHE ABDERREZAK , BOUZIDA AHCENE , BOUDJERDA NASSERDINE
Published: September 2024

This article introduces a novel approach called randomized carrier-based discontinuous pulse width modulation (RCDPWM) to address the challenge of mitigating both low-order and high-order harmonics concentrated at the switching frequency and its integer multiples in the output voltage and current of a three-level inverter. The proposed strategy reduces switching losses and a wide dispersion of voltage and current harmonics with significantly smaller amplitudes by integrating features from discontinuous and randomized PWM methods. This characteristic proves beneficial for enhancing efficiency and electromagnetic compatibility. The RCDPWM strategy involves three schemes: two simple schemes (one random parameter), randomized pulse position modulation (RPP-DPWM) and randomized carrier frequency modulation (RCF-DPWM), and a dual scheme combining the two previous ones (RPPRCF-DPWM). Power spectral density (PSD) is used to assess the effectiveness of the proposed strategy in quantitatively analyzing the harmonic dispersion degree. The results demonstrate that the proposed RCDPWM strategy significantly expands harmonic clusters around the switching frequency, reducing its intensity. The spectrum analysis revealed that the RPPRCF-DPWM scheme is the most effective in spreading the output voltage and current spectrum compared to simple schemes (RPP-DPWM and RCF-DPWM).
AUTOMATION IMPROVEMENT FOR GIS-BASED APPLICATIONS DEPLOYMENT IN FAST GROWING HIGH SCALABILITY DATA-ROOMS
Authors: CAZAN CRISTIAN-ALEXANDRU , MARIAN CONSTANTIN-VIOREL
Published: September 2024

This paper presents the viability and importance of automation in deploying and managing software systems to reduce costs. Automation allows for optimizing time spent on resource deployment and configuration and simplifying the upgrade process. A real-world geographic information system (GIS) project illustrates these improvements by automating WGS84 & STEREO70 conversion modules for software systems.
SIMULATION OF BIOMASS CARBONIZATION AND HEAT RECOVERY FOR ELECTRICITY PRODUCTION USING SEEBECK MODULES
Authors: BADAKA HERVÉ KLINKLIN , MOREGA ALEXANDRU M.
Published: September 2024

This paper experimentally and numerically examines biomass carbonization and using thermoelectric modules to recover heat and generate electricity using the finite element method (FEM). Carbonization, conducted at high temperatures, produces charcoal and gases. The study identifies optimal temperatures for module placement, demonstrating that they can generate up to 6.5 W of electricity. Moreover, integrating the chimney to optimize the carbonization process produced hot air with a maximum gain of 11 °C above the ambient temperature. This approach enhances energy efficiency and reduces costs
MEG AND PET IMAGES-BASED BRAIN TUMOR DETECTION USING KAPUR’S OTSU SEGMENTATION AND SOOTY OPTIMIZED MOBILENET CLASSIFICATION
Authors: APPATHURAI AHILAN , TINU ANLIN SAHAYA INFANT , NARAYANAPERUMAL MUTHUKUMARAN
Published: September 2024

Deep learning techniques have revolutionized medical image analysis recently, particularly in brain tumor (BT) detection. A comprehensive overview of the advancements and challenges associated with employing deep learning methodologies for the accurate and timely detection of BT. This work proposes a novel brain hybrid hexagonal mobile network (BH2Mnet) to identify benign and malignant tumors using MEG and PET images. An adaptive bilateral filter (ABF) is used as a de-noising for input images to eliminate noise artifacts. Eliminating the skull and outer cortical regions, a process known as "skull stripping" is utilized to enhance the number of training images. The de-noised images are segmented to detect the BT using Kapur's Otsu threshold (KOT) algorithm. Based on these segmented tumors, hexagonal feature sets with and without segmentation masks are produced using hybrid hexagonal features (HHF). Finally, the Sooty optimization-based MobileNet classifier is employed to classify the BT into benign, malignant cases. It was determined that the proposed BH2Mnet approach was 99.21 % accurate in classifying data. According to the proposed BH2Mnet NS-CNN, the total accuracy is enhanced by 1.67 %, 2.69 %, and 4.11 % compared to hybrid DAE, BFC, Deep CNN, and Neutrosophy.
INTELLIGENT FAULT DETECTION AND LOCATION IN ELECTRICAL HIGH-VOLTAGE TRANSMISSION LINES
Authors: GUERRAICHE KHALED , ABBOU AMINE BOUADJMI , DEKHICI LATIFA
Published: September 2024

Fault location in transmission lines is critical to ensure power systems' reliable and efficient operation. Accurate fault detection and localization are essential to minimize downtime, prevent cascading failures, and maintain the overall stability of the electrical grid. Over the years, various fault location methods have been proposed, ranging from traditional model-based approaches to more sophisticated artificial intelligence techniques. This research presents two fault location methodologies: the Atom search optimization metaheuristic approach (ASO) and machine learning (ML) with cubic spline models. We evaluate the performance of both approaches by considering different fault types, fault distances, and fault resistance. We analyze accuracy and computational efficiency. The findings reveal that the Metaheuristic Approach demonstrates robustness in fault detection and localization under diverse conditions but may suffer from higher computational overhead. In contrast, the hybridization of machine learning and metaheuristic exhibits promising potential in achieving real-time fault localization with improved accuracy.
THE EFFECTS OF HYBRID SLIDING MODE LEARNING CONTROL AND FEEDFORWARD ANGLE DROOP CONTROLLER WITH HIGH DROOP GAIN IN HYBRID MICROGRID WITH LOAD UNCERTAINTY AND NONLINEARITY
Authors: KOUAPEI NIYA MOHAMMAD SAEED
Published: September 2024

The present study proposes a feedforward angle droop strategy based on a discrete-time mathematical model for operation dispatchable distributed generation (DG) units connected directly or through voltage source converters (VSC) to the microgrid. These units should supply their local and common loads. Droop coefficients should be increased to improve power division between different DG units. Also, a time delay in systems’ state variables and controller input is a disruptive parameter for the control system's performance. These two parameters have negative effects on network stability. To ensure the stability of the closed-loop system, a predictive sliding mode controller can be used based on discrete-time systems. However, this strategy cannot reduce the chattering phenomenon. This paper discusses the effect of time delay and increases in droop angle coefficients on the whole system and how these impacts can be eliminated. So, a combination of integral sliding mode controller (ISMC), composite nonlinear feedback (CNF), and sliding mode learning control (SMC), which is called hybrid SMC, is used with an angle droop controller.
BUFIT: FINE-GRAINED DYNAMIC BURST FAULT INJECTION TOOL FOR EMBEDDED field programmable gate array TESTING
Authors: VELAYAUDHAN SINDHU THAZHATHETHIL , DEVI KALPANA
Published: September 2024

Fault injection (FI) is a well-known method to attack embedded systems, particularly advanced FPGAs and microcontrollers physically. The FPGA-based embedded system constitutes SRAM for configuration data storage. Multiple-bit upset is a main threat for FPGAs due to technology scaling and complex application bit files. Space environments additionally incur radiation threats to these devices. This paper proposes burst error modeling and a burst fault injection tool (BUFIT) to address these issues. BUFIT has been proposed with fine-grained and coarse-grained circuits. Built-in instrumented FPGA-based FI is proposed for effectively injecting MBUs in configuration memory with space adaptive rate for accurately estimating soft errors. Evaluation of proposed BUFIT on Kintex-7 target FPGA to various OR 1200-based workloads is given to analyze the speed up of the proposed technique. Results on the OR 1200 processor show that BUFIT is three and two orders of magnitude faster than existing DPR and SCFIT techniques. It uses only 0.4 % CLB overhead and has negligible impact on FFs of target SFPGAs.
DESIGN AND REAL-TIME IMPLEMENTATION OF SYNERGETIC REGULATOR FOR A DC-DC BOOST CONVERTER
Authors: LATRECHE SAMIA , BABES BADREDDINE , BOUAFASSA AMAR
Published: September 2024

Switching DC/DC boost converters are one of the most economical devices for increasing supply voltage due to their large conversion efficiency. With the development of modern control technologies, control of DC/DC converters has become increasingly important to improve system power density and efficiency. The output voltage of these power converters must meet stringent specifications to be fast and stable. To regulate the DC/DC boost converter in the presence of disturbances, a synergistic control (SC) system derived from synergistic theory is presented in this study. Based on the state variables, the total variable manifold supports the proposed control scheme. The distinctive features of the SC system via sliding mode control are finite time convergence and chattering-free phenomena. The Lyapunov approach is used to examine the stability of the controlled system. The suggested control scheme was verified by simulation and experimentally validated using a dSPACE DS1104 card. The controller exhibits a suitable response with high performances, such as fast transient response, negligible steady-state error, and better performance under load and output voltage fluctuations.
Meer leraren: van hoe naar welke? Een kritische analyse van assumpties en positioneringen in het Vlaamse beleidsdiscours
Authors: Christiaens L. , Simons M. , Vanassche E.
Published: September 2024

Het lerarentekort staat reeds jarenlang hoog op de beleidsagenda, in Vlaanderen en internationaal. De urgentie van het probleem resulteert zowel in beleid als in onderzoek in een toenemende focus op oplossingen, kenmerkend voor een bredere evolutie richting fast policy. In deze haastige en eenzijdige focus dreigt echter vergeten te worden dat oplossingen niet neutraal zijn. Ze vertrekken vanuit diepgewortelde assumpties over wat het betekent leraar te zijn en houden verwachtingen in over het (be)handelen van de leraar. Deze studie hanteert een discursief perspectief om de assumpties en positioneringen van de leraar in het beleidsdiscours bloot te leggen. Een combinatie van kaderanalyse en de positioneringstheorie biedt een theoretische en methodologische lens voor het kritisch bestuderen van een reeks hoorzittingen in de Vlaamse Commissie voor Onderwijs. De resultaten tonen dat de assumpties over leraarschap op twee dimensies te situeren zijn: de dimensie van bepaalbaarheid (de leraar versus een leraar) en van maakbaarheid (leraar worden versus leraar zijn). Deze dimensies vormen vier kwadranten, van waaruit de leraar gepositioneerd wordt als atleet, reiziger, superheld of rockster. De vraag die zich vanuit deze studie opdringt, is niet zozeer hoe we voldoende leraren kunnen aantrekken en behouden, maar vooral welke leraren.
Do resilience and socio-demographic characteristics predict university lecturers' well-being? A cross-sectional study.
Authors: Consiglio P. , Fokkens-Bruinsma M. , Jansen E.P.W.A. , Fleer J.
Published: September 2024

A substantial proportion of lecturers in higher education experience low levels of well-being. The aim of this work was to examine the predictive role of resilience and demographic variables such as gender, working hours, nationality, teaching experience and faculty in relation to the well-being of university lecturers. An online survey was sent to a sample of 684 lecturers at a Dutch university. A multiple linear regression showed that nationality, working hours and resilience were significant predictors of well-being. The results of this study highlight the importance of assessing predictors of university lecturers’ well-being and the need for resilience-enhancing initiatives.
Comparative analysis of the computer vision syndrome between the developed EU countries and Republic of Serbia
Authors: Viduka Dejan , Bašić Ana , Balaban Petra
Published: September 2024

It is hard to envisage any business activity nowadays without the use of computers. The users who in their work utilize computers or some other displays for viewing electronic contents are exposed to the computer vision syndrome effects. This paper defines the computer vision syndrome and explains occurrences of the syndrome, setting out also its consequences. Analysis has been made of the viewpoints of users from the developed EU countries regarding the computer vision syndrome. Comparison has been made of the obtained data with the data showing viewpoints of the users in the Republic of Serbia. The aim of this analysis is to form a comprehensive picture of the computer vision syndrome issues. At the end of the paper, solutions are depicted for reducing the consequences and preventing the computer vision syndrome occurrences.
Thành tựu bảo đảm quyền con người từ việc đổi mới tổ chức và hoạt động của Quốc hội
Authors: Bùi Thị Hường
Published: September 2024

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Xu hướng đổi mới quản lý nguồn nhân lực trong cơ quan hành chính nhà nước hiện nay
Authors: Lê Cẩm Hà
Published: September 2024

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Thực hiện chính sách phát triển giáo dục đại học ở Việt Nam
Authors: Tạ Thị Ngọc Liên
Published: September 2024

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Các yếu tố ảnh hưởng đến thực hiện chính sách phát triển du lịch bền vững tại vùng kinh tế trọng điểm miền Trung
Authors: Lê Thị Ngọc Lệ
Published: September 2024

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Pháp luật về phân định thẩm quyền trong quản lý nhà nước giữa trung ương và địa phương - từ thực tiễn TP. Hồ Chí Minh
Authors: Phạm Văn Phong
Published: September 2024

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Bảo vệ người tiêu dùng dịch vụ ngân hàng tại một số quốc gia trên thế giới - hàm ý chính sách cho Việt Nam
Authors: Văn Phạm Kim Xuyến
Published: September 2024

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Reading Speed and Reading Comprehension in Adolescents
Authors:   Elementary school JU OŠ “Božidar Vuković Podgoričanin", Radović Bojana , Vuković Mile ,   2University of Belgrade, Faculty of Special Education and Rehabilitation
Published: September 2024

Reading is a complex skill that is acquired through learning. Although most children with typical development master the skill of reading in due time, it is known that a smaller number of children show difficulties in reading. The aim of this thesis is to examine the reading speed and reading comprehension of primary school-aged adolescents. We also tried to determine the number of adolescents with reading difficulties, through analysis of reading speed and accuracy of comprehension of the read text. The research sample consisted of 200 pupils of sixth, seventh, eighth and ninth grade of the "Milorad Musa Burzan" elementary school in Podgorica. Assessment of reading speed and reading comprehension was performed using the Three-Dimensional Reading Test. The results showed that reading speed increases with age, so ninth grade pupils read the fastest, whereas seventh grade pupils read the slowest. In terms of comprehending what was read, the pupils of the eighth grade were the most successful, and the pupils of the seventh grade were the worst. Moreover, the results showed that there are no differences in reading speed and reading comprehension between boys and girls. It was concluded that in this sample there were a total of nine (4.5%) pupils with reading difficulties.
A kirendelt védő szociológus szemmel
Authors: Nagy Zsolt
Published: September 2024

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The Secret Signs in South New Guinea Art. A comprehensive guide to understanding Asmat and Papuan Gulf Art
Authors: Braun Holger
Published: September 2024

The chain of linked cultures of the southern coast of New Guinea, from the Asmat in the west to the Papuan Gulf in the east all share remarkably similar mythology and rituals, inspired by a common ancient worldview. In this book art historian and anthropologist Dr. Holger Braun takes us on a step by step journey to discover the underlying principles of this ancient worldview which is visible as a secret sign language inscribed into the art objects of this area and intended to be legible exclusively to the initiated. While the eyes of the non-initiated only perceive an aesthetic impression of a specific artwork, the reader of this book will be able to understand the messages conveyed by key details of the design and thus begins to hear the objects telling their centuries old story – a story about a secret fertility cult in which life must be constantly renewed in order to persist, about initiation into this cult and about its core and sacred culmination, the headhunt. Dr. Braun’s research opens a completely new perspective in the art history of this region. His finding that the visual signs of South New Guinea are as readable as a script to the initiated greatly enlarges our understanding of this important artistic tradition in human history.
Performance of new smoke alarms and aerosol measurements for a range of nuisance cooking sources in a mock kitchen
Authors: Veley Emma , Cleary Thomas
Published: September 2024

New smoke alarms that have passed the broiling hamburger nuisance test introduced in 2015 to ANSI/UL 217 Standard for Safety Smoke Alarms have reached the market. This cooking scenario was selected to be representative of cooking nuisance sources generally. The current study compares the nuisance alarm resistance between new smoke alarms and legacy alarm designs to a variety of cooking scenarios. A series of cooking experiments are conducted with an electric-coil cooktop and oven surrounded by mock cabinets and the smoke alarms mounted on ceiling panels in the mock-kitchen. A variety of smoke alarm types and models are tested, including four smoke alarm models that have passed the current 9th Edition of ANSI/UL 217 and six legacy models, either ionization, photoelectric, or dual-type, certified to the previous Edition. Also during the tests, the aerosols produced from the cooking were characterized using an electrical low pressure cascade impactor to quantify the aerosol concentrations and diameters generated by the nuisance sources during the experiment and at the time of alarm. The alarm activation results showed that the new alarms as a group were not clearly superior in nuisance alarm resistance to the selected cooking scenarios compared to the legacy designs. While the broiling hamburger nuisance test added to ANSI/UL 217 may not be sufficient to prevent nuisance alarms across all cooking scenarios, it does provide a performance baseline to ensure newer alarms that need to meet the more stringent flaming and smoldering fire tests are not overly sensitive to nuisance sources.
POVERTY STATUS AND PRODUCTIVITY AMONG SMALLHOLDER RICE FARMERS IN IKOT EKPENE AGRICULTURAL ZONE, AKWA IBOM STATE, NIGERIA
Authors:   Department of Agricultural Economic and Extension, Akwa Ibom State University, Obio Akpa Campus, D. I. Agom , E. M. Aaron ,   Department of Agricultural Economic and Extension, Akwa Ibom State University, Obio Akpa Campus, B. Mohammed Ilyasu ,   Minsitry of Niger Delta Affairs, Abuja
Published: September 2024

This study analyzed the Poverty status and productivity of smallholder rice farmers in Akwa Ibom State. The data were collected from 80 smallholder rice farmers in Ikot Ekpene Agricultural Zone of Akwa Ibom State. Data were analyzed using descriptive statistics, FGT poverty index, TFP index, and the ordinary least squares model. The findings indicated a high poverty incidence of 61.4% in the study area. The study further revealed that the total factor productivity estimates of the smallholder rice farmers peaked among the non-poor category with average TFP index of 3.3, but lesser in the poor category with an average TFP index of 2.3. Education (0.159), experience (0.023), farm size (2.779), quantity of seeds (0.263) and pests and diseases (0.818) significantly affected TFP of smallholder rice farmers in both categories. it is recommended that, financial and other credit facilities should be made accessible and affordable to the rice farmers in the study area to reduce poverty and increase productivity. Again, the productivity index was higher among the non-poor category than the poor and pooled category. As such various productivity parameters such as improved varieties, incentives and subsidies should be made available to the poor smallholder rice farmers so as to push them above the poverty line.
How many new particles do we need?
Authors: Shaposhnikov Mikhail
Published: September 2024

The Standard Model of particle physics (SM) and Einstein general relativity are extremely successful in describing almost all phenomena observed in Nature so far, spanning distances from a fraction of Fermi to thousands of megaparsec (Mpc). In this review article, the author deliberates on the question formulated in the title, given that the SM does not allow neutrino oscillations, does not have a candidate for dark matter in the Universe, and does not explain the observed cosmological dominance of matter over antimatter.
Application of Artificial Intelligence Technology in Milk Production
Authors: Yi Shuxing
Published: September 2024

Milk production is a crucial component of the agriculture industry, providing a vital source of nutrition for consumers worldwide. In recent years, artificial intelligence (AI) technology has revolutionized how milk is produced, monitored, and managed on dairy farms. By harnessing the power of AI, dairy farmers can optimize their operations, improve efficiency, and enhance the quality of their milk production. This paper explores the various ways AI technology is utilized in the dairy industry, specifically focusing on its application in milk production.