bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Factors Affecting Innovative Start-Up Intention of University Students in Vietnam
Authors: Hai Nguyen Nam
Published: June 2024

The purpose of this research is to determine the relationship of personality traits, human capital, and the surrounding environment on the innovative start-up intention of university students, through the mediators of perceived desirability and risk-taking propensity. Using the SPSS 26 and AMOS 26 research tools, analysis techniques and hypotheses of the linear structural model were tested. The research data was collected through interviews with 1,046 university students in Vietnam. The research results show that factors related to personality traits, human capital, surrounding environment, perceived desirability, and risk-taking propensity have a positive direct and indirect impact on the innovative start-up intention of university students. This is a new finding in the context of Vietnam's socio-economic landscape. The research also reveals differences in the impact of these factors on the innovative start-up intention of students, between male and female groups, family backgrounds, and field of study. For the group with prior exposure to innovative entrepreneurship, social norms have a significant impact on entrepreneurial intention. The research results provide a basis for local authorities and universities to develop policy implications and management approaches to better support and enhance the innovative start-up intention of students, in order to contribute to the country's socio-economic development.
Comprehensive Review and Comparative Analysis of Keras for Deep Learning Applications: A Survey on Face Detection Using Convolutional Neural Networks
Authors: Lafta Noor Abdalkareem , Abbood Zainab Ali Abbood
Published: June 2024

This paper aims to provide a literature review and comparative analysis focused on the importance of using Python as the primary language for machine learning (ML), deep learning (DL): The incorporation of libraries adapted to different areas is highlighted. One of the most depressing things about using Python in the programming sector is its easy and extensive libraries. Of these few, Keras shines with the majority of its design decisions being made based on the core concepts. Keras allows a number of possibilities for model deployment in a production mode, it supports multiple GPUs properly, and it also supports distributed model training. The design of Keras is very simple to use and can be easily learned due to its usage of Python programming language, making it a good open-source tool to be used in building and testing deep learning (DL) models. This paper focuses on Keras, an open-source deep learning application program interface that runs on Python and is based on TensorFlow but compatible with others such as PyTorch, TensorFlow, CODEEPNEATM, and Pygame. The review goes deeper into the details regarding Keras, including its goals, issues it sought to address, achievements it has made and some lessons drawn from its use.
Material Culture as a Factor in the Education and Development of Children Studying Creative Disciplines
Authors: Fomina Tatiana , Karimova Raushan , Amirzhanova Anara , Trofimov Viktor , Kim Aiza
Published: June 2024

The impact of material culture on students' learning processes and personal development is examined in this article as it relates to education and development of those studying creative disciplines. The article also investigates the tangible role played by national culture in the creation of a person's contemporary subject environment. The relevance of the research is determined by several factors. First, the growing interest in creative professions and branches of art determines the need for the development of creativity and innovation, which become key factors in a competitive society. The study of the influence of material culture on the upbringing and development of creative abilities in students in the traditions of folk art provides an opportunity to better understand how these aspects affect their thinking, creativity, perception of art, and appreciation of art. Second, the environment and cultural influences have a significant impact on personal development. In the course of the study, it was examined how material culture can be used productively in the educational process, enables the development of innovative educational approaches, and enhances educational quality. The results of the study can be useful for teachers, students and researchers aimed at improving the educational process in creative specialties.
Pricing of Fresh Fruit Bunches (FFB) From Oil Palm in Riau Province, Indonesia: Developing A Collaborative Governance Model for Sustainable Agriculture
Authors: Hatmaja Defris , Andri Seno , Heriyanto Meyzi , . Mayarni
Published: June 2024

The Riau provincial government has formed an oil palm Fresh Fruit Bunch (FFB) pricing team to accelerate the implementation of prices and partnerships. However, most independent smallholders do not partner with palm oil mills, resulting in non-compliance with government regulations. The study aims to analyze the roles of actors and collaborative governance dynamics, as well as factors influencing success. The research method combines quantitative and qualitative data collection, with data collected through questionnaires, observations, and in-depth interviews. The collaborative model aims to support stakeholders, including NGOs, academics, and affected communities, with a focus on achieving fair prices and sustainable agriculture.
Actors Synergy Model of The Ummah Economic Development Zone
Authors: IBRAHIM AHMAD ZUBIR , SAMSI AZNITA , NOOR MOHD SAIFOUL ZAMZURI
Published: June 2024

The Ummah Economic Development Zone (ZPEU) is an initiative by the Kedah State Zakat Board (LZNK) through the paddy estate project, focusing on empowering farmers among the Asnaf in the agricultural sector. To strengthen the development of ZPEU, building strategic relationships among institutions involved in the rice production chain is a key strategy for increasing crop yields and improving the living standards of Asnaf. This paper aims to develop a synergy model for strategic relationships between stakeholders in the ZPEU project. This model fosters an environment where community and innovation can flourish, engaging all parties to create new jobs and enhance the standard of living for local communities through new products and services.
Psycholinguistics Study on the Interplay of Bilingualism on Selected Cognitive Functions Based on Threshold Hypotheses among Saudi International School Students
Authors: Maayah Aala Karim , Moindjie Mohamed Abdou , Kasuma Shaidatul Akma Adi
Published: June 2024

This study investigates the threshold hypothesis in Saudi international school students. While this hypothesis has been extensively researched in the West, its application in Arabic-speaking regions, particularly Saudi Arabia, remains unexplored. This paper compares the executive function (metalinguistic awareness, inhibitory control, attentional control, and working memory) differences between the three levels of bilinguals (balanced, dominant, and semi) in male secondary school students in Saudi Arabia. Participants took language tests (TOEFL for English, GCSE for Arabic) and four cognitive tasks (grammatical judgment task, Stroop Task, semantic and phonemic fluency task, and Backward-digit-recall task). A quantitative causal-comparative analysis concluded that there was no significant difference between the performance of balanced, dominant, and semi-bilinguals on executive function tasks, except for the phonemic task. However, the study showed that semi-bilinguals performed poorly in all cognitive tasks. Thus, balanced and dominant bilinguals perform equally in inhibitory control, mental flexibility, and metalinguistic and semantic tasks.
Regional Security Complex (RSC) in the Security Complexity of the Southeast Asia Region
Authors: Shiddiqy Muhammad Arsy Ash , Lugo Dhianada Salsabila , Novarizal Riky
Published: June 2024

The Southeast Asian region faces security complexities that need to be taken into account, including border disputes, struggles over natural resources, the threat of drugs and terrorism, China's presence in the region, as well as security dilemmas and arms races. Although the current security situation is relatively peaceful with no significant conflict, the potential threat of war in the future cannot be ignored. This research aims to analyze the Regional Security Complex (RSC) framework in the security complexity of the Southeast Asia region. ASEAN countries are quite capable of maintaining regional security stability within the framework of friendship (Enmity). RSC theory is used to analyze the ASEAN cooperation framework in dealing with regional security complexity. A qualitative approach using literature study was used in this research. The findings of this research show that ASEAN countries have agreed to strengthen a friendship-based cooperation framework to continue to maintain the security stability of the Southeast Asian region.
Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
Authors: Murad Ali Khan
Published: June 2024

In materials science, the integrity and completeness of datasets are critical for robust predictive modeling. Unfortunately, material datasets frequently contain missing values due to factors such as measurement errors, data non-availability, or experimental limitations, which can significantly undermine the accuracy of property predictions. To tackle this challenge, we introduce an optimized K-Nearest Neighbors (KNN) imputation method, augmented with Deep Neural Network (DNN) modeling, to enhance the accuracy of predicting material properties. Our study compares the performance of our Enhanced KNN method against traditional imputation techniques—mean imputation and Multiple Imputation by Chained Equations (MICE). The results indicate that our Enhanced KNN method achieves a superior R² score of 0.973, which represents a significant improvement of 0.227 over Mean imputation, 0.141 over MICE, and 0.044 over KNN imputation. This enhancement not only boosts the data integrity but also preserves the statistical characteristics essential for reliable predictions in materials science.
Mengungkap Keberhasilan Bisnis Internasional: Strategi Penetrasi Pasar Global Oleh PT Pertamina Lubricants
Authors: Dedi Atmi Suganda  , Della Melani  , Al Hikmah  , Fira Zalfa Nazhifa
Published: June 2024

The lubricants industry is an integral component in the global energy sector with growing demand from various sectors such as automotive, industrial, and transportation. Companies such as PT Pertamina Lubricants play an important role in providing high-quality lubricant products to meet the growing market needs. Despite its success in international expansion, the company is still faced with various complex challenges. This study aims to identify the key factors that play a role in PT Pertamina Lubricantsl's international business success. This research uses a qualitative and descriptive approach, as well as a case study design with PT Pertamina Lubricants as the research subject. The company has demonstrated a strong commitment to exploring global markets, with a focus on competitive product development, innovation and sustainability. Expansion strategies into various countries, effective marketing, investment in innovation and technology, and commitment to environmental sustainability are some of the key factors in their success. By continuing to strengthen these proven strategies and remaining responsive to global market dynamics, PT Pertamina Lubricants can maintain its position as a market leader in the lubricants industry, and achieve sustainable growth in the future.
ABSTRAK
Industri pelumas merupakan komponen integral dalam sektor energi global dengan permintaan yang terus meningkat dari berbagai sektor seperti otomotif, industri, dan transportasi. Perusahaan-perusahaan seperti PT Pertamina Lubricants memainkan peran penting dalam menyediakan produk pelumas berkualitas tinggi untuk memenuhi kebutuhan pasar yang terus berkembang. Meskipun telah sukses dalam ekspansi internasional, perusahaan ini tetap dihadapkan pada berbagai tantangan kompleks. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor kunci yang berperan dalam kesuksesan bisnis internasional PT Pertamina Lubricantsl. Penelitian ini menggunakan pendekatan kualitatif dan deskriptif, serta desain studi kasus dengan PT Pertamina Lubricants sebagai subjek penelitian. Perusahaan ini telah menunjukkan komitmen yang kuat dalam menjelajahi pasar global, dengan fokus pada pengembangan produk yang kompetitif, inovasi, dan keberlanjutan. Strategi ekspansi ke berbagai negara, pemasaran yang efektif, investasi dalam inovasi dan teknologi, serta komitmen terhadap keberlanjutan lingkungan adalah beberapa faktor kunci dalam kesuksesan mereka. Dengan terus memperkuat strategi-strategi yang telah terbukti berhasil dan tetap responsif terhadap dinamika pasar global, PT Pertamina Lubricants dapat mempertahankan posisinya sebagai pemimpin pasar dalam industri pelumas, serta meraih pertumbuhan yang berkelanjutan dimasa depan.
Tinjauan Bentuk Roasting Sebelum Dalam Islam: Interpretasi Kontemporer Terhadap Hadis Nabi SAW
Authors: Nabila Khairun Nisa  , Muhammad Patuloh Fajar  , Hafizul Fadli  , Delia Putri  , Fahmi Ahmad
Published: June 2024

Penelitian ini bertujuan membahas tentang hukum roasting dalam islam interpretasi kontemporer terhadap hadis nabi SAW. Penelitian ini menggunakan metode deskriptif-kualitatif melalui studi kepustakaan. Hasil dan pembahasan dari penelitian ini meliputi pengertian roasting, hadis tentang roasting, hukum roasting dalam islam, serta interpretasi terhadap hadis nabi SAW. Penelitian ini menyimpulkan bahwa humor atau lelucon bukanlah suatu hal yang baru di dalam islam. Humor atau lelucon dalam islam diperbolehkan asal sesuai dengan syari’at islam. Sedangkan roasting yang mambawa unsur mengolok-olok atau mengumbar aib orang lain tidak diperbolehkan dalam islam. Roasting juga merupakan suatu tindakan yang seharusnya di hindari dan tidak dilakukan dengan apapun alasannya karena sudah dijelaskan dalam hadis Riwayat Sunan Al-Tirmidzi no indeks 1930.
Classification of Apple Plant Leaf Diseases Using Deep Convolutional Neural Network
Authors: Aslam Maryam , Sana Muhammad Usman , Kiren Tayybah , Irshad Muhammad Jehanzeb
Published: June 2024

Food production is one of the main sources of income and livelihood in the world. Various agricultural products are grown as essential food in the largest areas of World. According to various research, many agriculture sectors face loss due to crop diseases Plant anthologists find new methods for diagnosing plant diseases perfectly and reliably. Classification of crop diseases is done by using machine learning techniques. Now a day largest no of plant diseases is identified by using deep learning methods. In this work, we use an effective approach that is based on Otsu's thresholding method in preprocessing whereas plant diseases classify by using deep CNN. In this research, we use a benchmark dataset of apple leafs from Kaggle. The method that we use in this research is not applied to apple plants in previous studies. The dataset contains three classes first we apply preprocessing on the dataset which applies three models on these images named 19 layer CNN, AlexNet, and Inception V3 model. Apple dataset preprocesses by applying to resize, background removal, and cropping functions. In the first experiment, we did not preprocess the dataset and directly apply deep CNN on original images and show the behavior of this method on the unclean dataset. On the other hand, in the second experiment first, preprocess datasets and then apply deep CNN for the classification of these diseases. apple leaf diseases are also classified by using AlexNet and the inception V3 model lastly 19 layer CNN is compared with two other models named Alexnet and Inception V3 model both are transfer learning models Results of the AlexNet model is quietly better than the CNN and Inception V3 model is not perform well as compare to both algorithms.
Review of Two-timescale Stochastic Approximation Algorithms
Authors: Liang Jingjing , Wu Qingtao
Published: June 2024

Artificial Intelligence has gradually become an important force to drive human beings into the intelligent era, and machine learning has made great contributions to the rise and development of Artificial Intelligence. Stochastic approximation (SA) is a com-monly used optimization algorithm in machine learning, and with the complexity of practical problem scenarios, two-timescale SA have received extensive attention and research. In this paper, the basic idea and development process of SA are introduced firstly, followed by the description of several algorithmic frameworks for linear and nonlinear SA, and the specific applications of two-timescale SA in the fields of opti-mization and reinforcement learning are also introduced. Finally, the two-timescale SA is summarized and outlooked.
Review of Routing Protocols for Mobile Ad Hoc Networks
Authors: Wang Zifei , Zhang Mingchuan
Published: June 2024

Research on Mobile Ad Hoc Networks is of great significance in various fields including military, emergency response, Internet of Things (IoT), vehicular networking, aviation, and scientific research. This research contributes to the advancement and application of mobile communication technologies. Both domestic and international researchers have conducted in-depth studies on routing protocol design, which encompasses various aspects such as protocol design, topology management, link quality estimation, security, and energy efficiency. These areas represent current research hotspots and challenges. With the continuous development of wireless communication technologies and increasing demands for application, research on routing in Mobile Ad Hoc Networks remains highly significant with broad prospects for development. Therefore, research on routing strategies for Mobile Ad Hoc Networks has garnered widespread attention in academic circles worldwide, leading to numerous valuable research outcomes. This paper comprehensively analyzes the requirements related to the design of routing protocols for mobile self-organizing networks and comprehensively investigates the existing routing protocols, and classifies and investigates the routing protocols for mobile self-organizing networks in order to promote the research of next-generation mobile self-organizing network routing in China, which provides a reference.
Review of Congestion Control Methods in Named Data Network
Authors: Zhang Bohan
Published: June 2024

In recent years, with the development of new networking technologies, the demand for networks has shifted from simple resource sharing to large-scale content distribution. This change has led to the gradual inadequacy of the traditional TCP/IP architecture in meeting the current needs of production and daily life. In this context, Named Data Networking (NDN) has emerged. NDN networks, with their content-centric nature and features such as in-network caching, multi-source forwarding, and routing control, have attracted significant attention from researchers both domestically and internationally. However, the novel architecture of the network also presents new challenges for congestion control research in NDN. This paper conducts thorough research on the related work of congestion control in NDN, provides a detailed overview of existing research efforts in NDN congestion control, and describes potential future research directions in NDN congestion control. The aim is to provide valuable references for future research on congestion control in NDN.
A Review of Anomalous Behavior Detection in Internet of Vehicles
Authors: Ren Jun
Published: June 2024

The intelligent transportation system with the Internet of Vehicles as its core is gradually penetrating into the lives of urban residents, but it has also exposed security threats such as remote control of vehicles and leakage of personal information of car owners. Compared to the security issues at the level of vehicle end devices and vehicle networking service platforms, the article focuses on the security issues of abnormal behavior in vehicle networking. Based on this, the article reviews the relevant research on abnormal behavior detection mechanisms in the Internet of Vehicles environment in recent years. Firstly, the definition of abnormal behavior was analyzed, and the basic framework for detecting abnormal behavior was provided; Then, the classification of abnormal behavior detection mechanisms was discussed from three aspects: deep learning based abnormal behavior detection, spatiotemporal fusion based abnormal behavior detection, and visual based abnormal behavior detection; Finally, the unresolved technical issues and future research trends in the current abnormal behavior detection mechanism for the Internet of Vehicles were summarized.
A Review of Research on Social Network Event Detection Methods
Authors: Chen Tianqi
Published: June 2024

In recent years, with the development of technological infrastructure and the use of tech products, internet usage has become widespread globally. Significant advancements have been made in the use of social networks, which are now more readily accessible through Internet and Web 3.0 technologies such as Facebook, Twitter, and Instagram. Consequently, over the past decade, numerous researchers have been developing methods for event detection based on data collected from social media platforms. The methodologies devised for discovering events are typically modular in design and novel in terms of scale and speed. To review the research in this field, we have compiled existing works on social network event detection and conducted a comprehensive and in-depth survey. Methods for social network event detection are elaborated and categorized, with performance evaluations conducted using relevant metrics. Finally, we offer perspectives on future directions.
A Review of Traffic Scene Reconstruction Based on Images and Point Clouds
Authors: Dong Xiaoning
Published: June 2024

This paper elaborates on a three-dimensional scene reconstruction method based on point clouds, images, and the fusion of images and point clouds. Relevant evaluation indicators are used to evaluate the performance of traffic scene reconstruction technology. The problems in traffic reconstruction under image and point cloud elements are analyzed and summarized. Finally, the challenges and future research directions in the field of traffic scene reconstruction based on images and point clouds are pointed out.
Optimizing Opportunistic Routing between Communities Using Decision Trees and Apriori Algorithm
Authors: You Jingyun
Published: June 2024

This study proposes a novel data transmission framework aimed at optimizing node data transmission between different communities. We have designed an intelligent routing strategy based on node characteristics for situations where the source node and destination node have different communities. Through the decision tree algorithm, we trained a model to identify "messenger nodes" that are specifically responsible for cross community data transmission. In addition, the association rule model constructed using the apriori algorithm can calculate the probability of establishing a connection between the "messenger node" and the destination community node, thereby selecting the optimal path for data transmission. This method effectively reduces transmission delay and improves the efficiency and reliability of data transmission.
Community Detection Method Based on GNN and Improved K-means
Authors: Liu Jinxin
Published: June 2024

As the scale of networks continues to expand, their structures become increasingly complex, and the diversity of node information within these networks intensifies. Traditional community detection methods are no longer capable of meeting the growing demands. Thus, the design of a powerful community detection method with low complexity and cost is an urgent issue to be addressed. This paper proposes a community detection method based on Graph Neural Networks (GNN) and an improved K-means algorithm. Initially, the original adjacency matrix is reconstructed based on the importance of nodes, resulting in a new node similarity matrix. Subsequently, a graph autoencoder is employed to extract structural information from the network graph. The decoder part utilizes the form of vector inner product to restore the similarity matrix using the structural information from the hidden layer. The features extracted by the graph autoencoder are then utilized by the improved K-means algorithm to ultimately achieve community division. Finally, this paper summarizes the shortcomings of community detection and provides a prospect for future research directions.
Strategies of Coverage Hole Repair in Wireless Sensor Networks
Authors: Chen Shaozhe
Published: June 2024

With the widespread application of Wireless Sensor Networks (WSNs) in daily life, enhancing the practicality and effectiveness of WSNs has gradually become an urgent demand. The issue of repairing coverage holes in WSNs has emerged as a hot research topic. Therefore, this paper aims to categorize and organize various repair strategies to provide research insights for more scientific researchers. This paper systematically categorizes and summarizes repair strategies for coverage holes in WSNs from four aspects: Adjustment of Mobile Nodes, Network Topology Optimization, Dynamic Routing Adjustment, and Adjustment of Coverage Range. It discusses the advantages and disadvantages of these strategies and the problems they address.
High Wideband Digital Oscilloscope Design
Authors: Bai Song , Yu Pengzhang
Published: June 2024

In most test applications, acquisition and analysis involving simultaneous processing of analog and digital signals. However, the bandwidth of most mainstream digital oscilloscopes is limited to 100 MHz, which is unable to meet the testing needs of high-frequency signals in complex electronic systems [1], and therefore, high-bandwidth digital oscilloscopes have emerged. Based on this background, this paper designs a digital oscilloscope hardware platform with high bandwidth by integrating FPGA and ARM technologies, aiming to meet the rigorous testing requirements of modern electronic systems. The FPGA module is based on the xc7s75fgga676 chip, which is mainly responsible for ADC control, data processing and frequency measurement functions. AM5708 is selected as the ARM module to realize the trigger, time base, amplitude and automatic setting functions of the oscilloscope. In order to ensure the accuracy and fidelity of waveform changes, the Sinc function interpolation method is used. This design further improves the acquisition bandwidth and processing speed on the basis of traditional MSO (Mixed Signal Oscilloscope) oscilloscopes, which is of great significance for the acquisition and processing of high-speed signals.
Research on the Development of Chaotic Image Encryption
Authors: Huang Chao , Gao Mingqiang , Ma Haoyuan
Published: June 2024

With the development of the information age, the use of images for information expression has become very common. In view of the security of images, more and more scholars begin to study image encryption. In this paper, we briefly describe the development of chaotic image encryption field, describe the concept of chaos theory, chaotic characteristics and discriminant criteria, common typical chaotic systems, security analysis methods and development summary.
Design and Implementation of Intelligent Robot Control System Integrating Computer Vision and Mechanical Engineering
Authors: Liu Guiran , Zhu Binrong
Published: June 2024

With the rapid development of science and technology and industry, robot technology has become a key pillar in many fields, especially in industrial manufacturing, robots have been widely used in automated operations. However, in the face of the complex and changeable demands of modern industry, simple mechanized operation can no longer be satisfied, and intelligence has become the inevitable trend of robot technology development. By combining computer vision technology, this study provides robots with powerful environmental awareness and target recognition capabilities, thus achieving higher-level autonomous operation and decision-making. Aiming at the intelligent sorting system, this research adopts XYZ mechanical arm as the execution platform, equipped with TCS34725 color sensor to identify the color of articles, and integrates Hikvision industrial camera and NVIDIA Jetson TX2 image processor to capture and process image data, so as to achieve accurate positioning of articles. In the aspect of software design, this research realizes the function of accurately sorting different color items from the conveyor belt by combining color recognition algorithm and image processing technology with mechanical engineering control. The test results of the system show that the system has high accuracy and stability in color recognition and object positioning, and the trajectory accuracy of the manipulator meets the requirements, which verifies the realization of the research goal. The intelligent robot control system designed in this paper not only improves the level of industrial automation and reduces labor costs, but also broadens the application fields of robots in complex environments.
Research on the Application of New Polylactic Acid (PLA) Fiber Concrete Materials in Urban and Rural Flood Resistance
Authors: Li Xuan , Lu Mengxue , Yan Chao , Li Leyuan , Yang Beibei , Wang Zhiyuan
Published: June 2024

This paper aims to study and apply new polylactic acid (PLA) fiber concrete materials to improve urban and rural flood resistance, enhance flood control and drainage capabilities, and promote sponge city construction. Through the analysis of the characteristics, proportion optimization and performance of PLA fiber concrete in actual projects, it is found that the material has good mechanical properties, environmental adaptability, economy and environmental protection, and has important application prospects in urban and rural flood control and drainage. By adjusting the proportion, selecting the appropriate fiber type and addition amount, the flood resistance and drainage capacity of concrete can be improved. Combined with 3D printing technology and modern scientific and technological means, the application and development of PLA fiber concrete will be further promoted to achieve a win-win situation of continuous improvement of urban and rural flood resistance and environmental protection. With the support of relevant technologies and policies, PLA fiber concrete has broad application prospects in sponge city construction and urban and rural flood control and drainage, and will make important contributions to improving the level of urban and rural disaster prevention and mitigation.
PENGARUH TINGKAT HUTANG, INTENSITAS MODAL DAN TRANSFER PRICING TERHADAP PENGHINDARAN PAJAK (STUDI EMPIRIS PADA PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI BARANG KONSUMSI YANG TERDAFTAR DI BEI TAHUN 2017-2021)
Authors: Sofran Sidorus Alfandrianus , Hasanah Neneng
Published: June 2024

This study aims to determine the effect of the level of debt. Capital Intensity and Transfer Pricing Simultaneously on Tax Avoidance and Partial Effect of Debt Level Capital Intensity and Transfer Pricing on Tax Avoidance This type of research is quantitative in nature, and the data used are secondary data using the media in the form of financial statements of manufacturing companies taken from IDX. The population used in this study are manufacturing companies listed on the Indonesia Stock Exchange during the 2017-2021 period, data management using eviews 9. Based on the results of the tests conducted, the debt level variable is simultaneously variable. capital intensity and transfer pricing have an effect on tax avoidance with a probability value (F-Statistic) of 0.016493 0.05. Capital intensity has an effect on tax avoidance with a probability value of 0.0018 < 0.05, transfer pricing has no effect on tax avoidance with a probability value of 0.3186 > 0.05.
Pengaruh Kualitas Produk, Harga, dan Promosi terhadap Keputusan Pembelian Laptop Asus pada Masa Covid-19 di DIY (Studi kasus di Daerah Istimewa Yogyakarta)
Authors: Ratnaningtyas Endah Marendah , Rahman Rizqi Maulana , Triana Dewi , Widiyanti Anik , Sunarto Sunarto
Published: June 2024

This study aims to analyze product quality, price, and promotion of Asus laptop purchasing decisions during the covid-19 period in DIY. The population in this study were all people of the Special Region of Yogyakarta with a sample of 100 respondents. The data processing method uses multiple regression analysis. The data used is sourced from people in the Special Region of Yogyakarta who use Asus laptops by using the questionnaire method to the respondents. The results of this study partially indicate that product quality has no significant effect on purchasing decisions of 0.541 > 0.05, price has a significant effect on purchasing decisions of 0.000 < 0.05, promotion has a significant effect on purchasing decisions of 0.000 < 0.05. Simultaneously product quality, price, and promotion have a significant effect on purchasing decisions of 0.000 <0.05.
La pandemia en la sombra y las medidas de protección judicial en el Ecuador [The Shadow Pandemic and Judicial Protection Measures in Ecuador]
Authors: Saltos-Alcívar Silvia Patricia , Giler-Moreira Ronald Fabian
Published: June 2024

El objetivo de la investigación es analizar las medidas de protección que se han dispuesto en el contexto legal del Ecuador para erradicar la pandemia en la sombra que también ha impactado a Ecuador. La metodología utilizada fue el estudio documental-bibliográfico con la revisión de 12 trabajos de distintas fuentes secundarias de información. Si este asunto fuera de interés prioritario como lo disponen los instrumentos internacionales y nacionales, no se explica como el Estado hasta la fecha no ha dispuesto una línea de atención estrictamente para las víctimas de violencia de género, tampoco se puede concebir que las mujeres no cuenten con refugios o servicios de apoyo a los cuales puedan tener acceso inmediato y de carácter permanente y que no se haya implementado el Registro Único de Violencia y el “Protocolo nacional para investigar femicidios y otras muertes violentas de mujeres y niñas” lo que implica transparentar el fenómeno y adoptar medidas adecuadas a este problema de salud pública que ya tiene proporciones pandémicas.
Factores de riesgo asociados a la violencia y acoso laboral en Central Hidroeléctrica [Risk factors associated with workplace violence and harassment at a hydroelectric power plant]
Authors: Ortega-Gaguancela Karina Gabriela , Silva-Caicedo Rommel Fernando
Published: June 2024

La investigación tiene por objetivo determinar los factores de riesgo asociados a la violencia y acoso laboral en el Campamento Arenales de la Central Hidroeléctrica Paute Mazar. Los datos sobre las percepciones de los trabajadores se recopilaron mediante observación directa y encuestas, mientras que se utilizó un cuestionario para evaluar los riesgos relacionados con la violencia y el acoso en el lugar de trabajo con una muestra compuesta por 50 trabajadores. El estudio reveló que la relación entre la violencia en el lugar de trabajo y los riesgos de acoso tenía un impacto mínimo en la seguridad y la salud, sin efectos perjudiciales inmediatos. Se concluyó que mediante un seguimiento periódico de la frecuencia y probabilidad de estos riesgos se puede prevenir su aparición y, en caso de enfermedad profesional, se tomarán medidas para mantener el nivel actual.
Analítica de estrategias sobre marketing para incrementar las ventas en las PYMES [Marketing strategy analytics to increase sales in SMEs]
Authors: Verdugo-Ochoa Andrés Esteban , Ordoñez-Espinoza Cristina Guadalupe
Published: June 2024

El objetivo principal de este artículo de revisión bibliográfica es explorar y analizar diversas estrategias de marketing que han sido utilizadas por las PYMES para aumentar sus ventas. La investigación adoptó un enfoque descriptivo documental, se trabajó con 23 articulos científicos publicados en Scielo, Scopus, Redalyc, Latindex, a los cuales se les aplicó análisis documental como técnica analítica. El marketing digital, el marketing de contenidos, el marketing de influencers y la experiencia del cliente son estrategias efectivas para las PYMES, pues gracias a la globalización y a los cambios continuos en el entorno de las empresas se hace indispensable conectar con clientes, promocionar productos y generar ventas, para alcanzar los objetivos empresariales.
Arte y aprendizaje en la enseñanza de la Educación [Sexual Infantil Art and learning in the teaching of sexuality education for children]
Authors: Alejandro-Cortés Daisy Alicia , Rey-Sarmiento Ana Magdalena
Published: June 2024

La investigación tuvo por objetivo analizar el arte y aprendizaje en la enseñanza de la educación sexual infantil en estudiantes del nivel de preparatoria de la Escuela de Educación Básica 18 de noviembre de la ciudad de Loja, Ecuador. El trabajo de investigación se desarrolló desde un enfoque cuantitativo descriptivo, la muestra poblacional fue no probabilística de 25 estudiantes. Inicialmente un 32% de la muestra se ubicaron en el nivel de adquirido y después de la intervención, se elevó a un 80% lo que demuestra un porcentaje mayor en conocimientos de educación sexual. En el Ecuador, existe una cantidad considerable de abusos sexuales que ocurren a diario, por lo que es fundamental incluir a la educación sexual infantil, en el currículo educativo, para ser impartida de forma integral a los niños.
Reef health assessment of Pulau Payar Marine Park during the COVID-19 pandemic in Malaysia
Authors: Ismail Mohamad Saupi , Ilias Zaidnuddin , Ismail Md. Nizam , Goeden Gerald B. , Khoo Mei Ling , Yap Chee Kong
Published: June 2024

Pulau Payar Marine Park (PPMP) consists of four islands, namely Pulau Payar, Pulau Kaca, Pulau Lembu and Pulau Segantang. This study was carried out in PPMP from June 2020 to February 2021, during the implementation of Malaysia’s Movement Control Order in response to the Covid-19 pandemic in the country. The purpose of this study was to determine the species, coverage and biomass of corals and fish present within the area and to assess its coral health status. Data were derived at 11 sites at depths of 5 to 10 m. The Point Intersect Line method was applied to record benthic communities for every meter across two 50-meter transect lines. The outcomes showed that benthic communities were dominated by scleractinian corals, with an average of 25% coverage at all islands. Pulau Payar, Pulau Kaca, Pulau Lembu and Pulau Segantang were characterized by 37%, 33%, 25% and 37% live coral cover respectively. A total of 14 families, 30 genera and 49 species of scleractinian coral species were identified, giving the latest comprehensive species list for this marine park. The most common species recorded was Porites lutea, followed by Physogyra lichtensteini. The fish survey revealed a total of 39 fish species from 23 genera, encompassing 16 families, with Lutjanidae being the dominant group. Fish biomass values varied between 20 g/m2 and 183 g/m2 at each site. Shannon-Wiener diversity (H), Evenness (E) and coral health index (CHI) were calculated for each island. The H values ranged between 2.03 and 3.01. Pulau Payar had the highest value of H, at 3.01, and the highest number of species. The E values ranged from 0.75 to 0.85, showing that the scleractinian corals of PPMP were relatively evenly distributed. CHI at each site ranged from 0.17 to 0.24. Overall, the health condition of the coral reefs in PPMP was considered degraded. This study provides valuable insights into the benthic and fish communities of PPMP through its health assessment.
Describing Syntactic Errors in Written Works of Grade 8 Students in English - A Phenomenological Study
Authors: Tizon Jhonnel , Dela Cruz Jasmin
Published: June 2024

This research aims to unravel the syntactic errors of the grade 8 learners of the OP-Siena school in Bulacan. The researchers use the phenomenological method, which is a qualitative method in research. An interview was utilized to gather the data needed for this research. The respondents were chosen purposively following the criteria set by the researchers. The study revealed that the usual written activity that students must accomplish is essay writing; the common error their teacher primarily identified is the error in using prepositions. The students also perceived the reason for their errors as psychological factors such as anxiety; they also recognized the environmental factors such as noise, not having enough time to accomplish their writing activity and the teachers' instruction delivery. It is recommended that learners should be given enough time to do a written activity like an essay, further stated by the study of Zafar (2023). Though essay writing can enhance the learner's paragraphing and vocabulary, it requires enough time; learners need most lessons to outline their ideas and, on average, two lessons to complete their essays. It also helps them to plan and organize their ideas during the allotted time. It is also recommended to attend to the needs of the learners, ensure an environment where they do not have to feel anxiety when asking a question, and celebrate every success of the students.
After-dark Filipino Learners: Addressing the Stress Level and Grit among Higher Educational Learners and its Relationship to Academic Performance
Authors: Caballero Kadesh Angela
Published: June 2024

In the Philippines, a distinctive phenomenon exists wherein some Filipino learners nationwide engage in their pursuit of education through evening classes. The complex interplay of factors deeply rooted in the socio-economic realities of the country drives this practice, although it is not uncommon. This study sought to describe the relationships between stress level, grit level, and academic performance of Filipino after-dark learners in higher education. A descriptive-correlational research method was employed with 185 participants who answered the survey questionnaire. The results revealed that in terms of stress levels, after-dark learners reported experiencing stress at a somewhat frequent level across various domains, including physical, interpersonal, academic, and environmental. Also, respondents displayed strong traits of grit, indicating their capability to overcome setbacks, maintain commitment to goals, and handle challenges with determination. Furthermore, the study found weak positive and negative correlations between GPA and stress level and grit, respectively. These correlations were not statistically significant, suggesting that other factors may influence academic performance.
Assessing the Financial Literacy of the Blue-Collar Job Workers in terms of Financial Management Practices
Authors: Alarcon John Lloyd , Pamisa Joshua , Alarcon Daniella Sophia , Ellacone Joven Jonen , Esmalde Rodel John , Pedroza Dave Stephen
Published: June 2024

The study aimed to assess the financial literacy of blue-collar workers in Valencia City, Philippines, based on their financial management practices. It employed a quantitative approach, using descriptive statistics to analyze data collected from 100 randomly chosen participants. The study found that blue-collar workers in Valencia City showed moderate proficiency in saving, managing expenses and bills, and setting financial goals. They also displayed a fair understanding of financial management principles. However, investment practices were limited due to concerns about scams and distrust, while debt management was rarely practiced due to income fluctuations from hourly wages and project-based work. Despite these challenges, the overall results suggest a moderate financial literacy level of among this group. The study recommends that financial literacy education must be improved. It also encourages companies to provide financial education programs for their employees. And support initiatives that expand access to affordable financial services and promote fair lending practices for low- and moderate-income individuals.
Behind the Scenes: Evaluating the Performance of University Support Personnel for Institutional Progress
Authors: Sanchez Gilmilen
Published: June 2024

To remain competitive in the higher education market, Higher Education Institutions (HEIs) have to provide quality services to their clientele (Legcevic, 2014; Guaimalon et al., 2022). These services must be aligned with the mission, vision, and long-term goals of the university, which include employee productivity and service sustainability. This study sought to assess the university support personnel’s performance for institutional progress and students’ satisfaction. It also determined the relationship between the support personnel’s profile, in terms of sex and length of service, and their performance. The descriptive-correlational design was applied in this inquiry wherein all 97 regular support personnel were the respondents and were evaluated by their supervisor and two randomly selected senior co-workers. A standardized questionnaire was utilized to gather data on the performance of the support personnel. Weighted Mean, Spearman’s Rank Order Correlation Coefficients, and Chi-Square Test were used as statistical tools. The data revealed that the performance of the support personnel “exceeds expectations” in the following areas: work quantity, work quality, work relationships, work skills, job knowledge, and time record. The results further indicated that the work performance in terms of extension work is classified as “meeting the expectations.” Moreover, the study found that the support personnel’s length of service is inversely related to their work performance and that female personnel performed better at work than their male counterparts.
Perspectives of Mental Health Professionals on Self-Diagnosis and Romanticization of Mental Illnesses
Authors: Quijano Nathania Danielle , Naval Angelie Jayne , Ignacio Darwin
Published: June 2024

In today's interconnected world, many individuals worldwide have become susceptible to the influences of the rising trends of self-diagnosis and the romanticization of mental illnesses, primarily facilitated by online platforms. This study explored the viewpoints of mental health professionals on the trends of self-diagnosis and romanticization of mental illnesses, including concerns about the accuracy of self-diagnoses, the impact of romanticization on individuals, and potential interventions to mitigate the issues. This research narrows its focus on the first-hand experiences and insights shared by mental health professionals, precisely five (5) psychologists, and five (5) guidance counselors in General Santos City and Davao City, shedding light on how these trends significantly shape individuals' perceptions of mental health. Using Braun and Clarke's (2006) thematic analysis, results from semi-structured interviews highlighted the harmful impacts of these trends. Additionally, the findings suggest a need for increased awareness and education surrounding mental health, as well as collaborative efforts to counter the negative consequences of self-diagnosis and romanticization of mental illnesses.