bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Viability and Effectiveness of Chatgpt Applications in the Customer Service Industry: A Study on Business Models and User Experience
Authors: Yao Bowen
Published: March 2024

This study assesses the viability and effectiveness of integrating ChatGPT, an AI language model, in the customer service industry. Customer satisfaction and overall experience improvement are critical in defining the extent of business success. The study examines different trends and future research opportunities, showcasing the applicability of ChatGPT in hospitality, information technology, and global retailing industries. It also highlights the potential effectiveness of ChatGPT to revolutionize the sectors mentioned above and boost customer trust for sustainable development. Moreover, the research assesses the extent of ChatGPT usage in the organizational department by uncovering factors influencing its adoption using surveys. The research concludes that ChatGPT’s integration in customer service operations offers improved response time, cost-effectiveness, and scalability, allowing the business to reach a global audience. By embracing ChatGPT and its potential, organizations can develop seamless and customer-centric support experiences, gaining a competitive edge over other organizations, especially in the 21st dynamic market.
Impact of Economic Growth on International Student Enrollment: A Comparative Analysis of Chinese Mainland and Taiwan
Authors: Li Jiawen
Published: March 2024

This study conducts a comparative analysis of the impact of economic growth on international student enrollment in Chinese mainland and Taiwan. Through regression analysis, this study discovered a counterintuitive negative relationship between GDP growth rate and international student numbers in China, suggesting additional factors beyond economic indicators influence student attractiveness. Potential variables such as tuition costs, visa regulations, and perceptions of higher education quality warrant further exploration. In Taiwan, the absence of a significant correlation emphasizes the prominence of cultural, educational, and policy-related influences. These findings highlight the need for comprehensive policymaking encompassing economic indicators, academic quality, cultural inclusivity, and support structures. By understanding these complex factors, both Chinese mainland and Taiwan can shape their international education strategies effectively, creating nurturing environments that cater to diverse student cohorts. This research contributes to a deeper understanding of international student mobility dynamics and informs strategies to enhance the attractiveness of higher education destinations.
Analysis of the Influence Factors of E-Commerce on China's Economic Growth
Authors: Guo Jiarong
Published: March 2024

In recent decades, China has witnessed tremendous growth in the field of e-commerce, also known as electronic commerce. This paper aims to analyze the impact of e-commerce on China’s economic growth through empirical analysis. By applying the Ordinary Least Squares (OLS) method, this study is based on time-series data from 2008 to 2016 acquired from The World Bank and the National Report on E-Commerce Development in China. The analysis seeks to support that e-commerce, as a large portion of China’s total consumption, not only has some degree of influence on the traditional economy but also yields a positive effect on the GDP of China. The paper will provide a holistic overview including aspects such as a comprehensive exploration of e-commerce’s history and development in China, a careful assessment of the potential influence factors, and a series of future suggestions that will guide the path of e-commerce and the entire economy in China. In the end, this paper aspires to contribute to a nuanced understanding of the pivotal role and impact it has on China’s economic growth.
Impact of Investor Behavior on Stock Returns during COVID-19: A Systematic Review of Global Academic Papers
Authors: Zhang Zhiyu
Published: March 2024

The COVID-19 epidemic has had a big impact on the world's financial markets and economy, inducing considerable volatility in stock markets as countries faced unprecedented challenges. This systematic review amalgamates findings from recent academic papers to scrutinize the nexus between investor behavior and stock returns during the pandemic across various global markets, including the USA, UK, China, and Southeast Asian regions. The analysis reveals that investor behavior during the pandemic was largely characterized by heightened traditional behavioral biases such as overconfidence and herding. Moreover, a notable trend was the regional variation in investor responses, influenced significantly by local factors and sentiments. The pandemic period witnessed a surge in herding behavior, especially in bullish markets in the USA and UK, and a negative correlation between Chinese, Japanese, and US markets for stocks and investor psychology. This review serves as a reservoir of critical insights for investors, market regulators, and policymakers, facilitating a deeper understanding of market dynamics during global crises and aiding in the formulation of robust strategies for future challenges.
The Development of Digital Finance and Regional Economic Growth
Authors: Li Jingxuan
Published: March 2024

With the rapid development of global informatization and digitalization, digital finance has emerged as a revolutionary force in the field of finance. Over the past few decades, we have witnessed the rapid rise of information technology, internet finance, and financial technology, and these transformative trends are reshaping the way people interact with financial institutions, shaping new financial ecosystems. Meanwhile, regional economic growth has consistently been a key policy objective for governments at national and regional levels, as regional prosperity is closely tied to overall national success. However, despite the widespread attention on both digital finance and regional economic growth, their relationship has not been fully explored and explained. This paper aims to explore the correlation between digital finance and regional economic growth, emphasizing how digital finance promotes the accessibility of financial services and financing for small and micro enterprises, providing profound insights for policymakers, financial practitioners, and researchers. The research findings will contribute to unlocking the potential of finance and regional development in the digital age, offering guidance for sustainable regional economic growth.
House Price Prediction and Analysis Based on Random Forest and XGBoost Models
Authors: Li Han
Published: March 2024

Accurate prediction of house price is important in housing market. It’s difficult to forecast housing price because it’s influenced by many factors. There has been many discussions on housing  price prediction by kinds of machine learning algorithm. This paper attempt to predict housing price by Random Forest and XGBoost models, and compares the performance between them. In this paper, missing values processing, correlation analysis and standardization of samples are carried on the initial data at first, then two machine learning models are constructed, trained and test on the same dataset. The Kaggle house price dataset (“House Prices-Advanced Regression Techniques”) is used in the paper. The dataset contains 1420 samples with 79 features that represent almost all characteristics of house. The results show that XGBoost algorithm achieve higher R square score of 89% , indicating that XGBoost model can be more  efficient and accurate on measurement and prediction of housing sales prices.
Luo Yue Bronze Study - Cultural Communication between Luo Yue and Ba Shu
Authors: Chen Jiayi
Published: March 2024

Based on the data of the excavated bronzes in the Luoyue region, this paper will further analyse the cultural connection between the Luoyue region and the Ba-Shu region on the basis of previous studies, and make an in-depth demonstration of the cultural exchanges between the Luoyue region and the Sanxingdui region through the similarity of the excavated bronzes of the Luoyue region and the Sanxingdui region in terms of the decorations and the shapes. At the same time, this paper will analyse the process and path of cultural exchange between the Luoyue region and the Ba Shu region from two perspectives, and finally come up with the most probable cultural exchange routes.
Sosialisasi Strategi Marketing Dan Penanganan Kredit Bermasalah Pada BPRS Mentari Pasaman Saiyo Dalam Persaingan Pasar
Authors: Rahman Ahmad Vajri , Yerismal Yerismal , Jamil Muhammad
Published: March 2024

BPRS Mentari Pasaman Saiyo merupakan salah satu bank yang bergerak di bidang keuangan syariah yang ikut andil dalam menumbuhkan dan memfasilitasi ekonomi masyarakat di sekitarnya. Tingkat kepuasan nasabah pada bank ini menjadi salah satu tolak ukur kemajuan dan perkembangan Bank Syariah di Pasaman. Sebagian besar nasabah belum beralih ataupun belum menerima manfaat nyata dari kehadiran Bank ini di sekitarnya. Kurangnya minat masyarakat menjadi nasabah BPRS Mentari Pasaman Saiyo berkaitan dengan kurangnya pemahaman masyarakat tentang bank tersebut belum begitu kuat dan melekat di benak masyarakat (Konsumen). Strategi marketing yang tepat sangat berdampak dalam menumbuhkan minat masyarakat kepada bank Syariah. Selain itu dapat juga memberikan edukasi bagi pihak BPRS MPS untuk menghadapi masalah dan kendala yang mereka temui baik  saat berhubungan dengan masyarakat, sebagai calon nasabah maupun sebagai nasabah mereka dalam hal ini banyaknya NPF/NPL, digitalisasi dan persaingan. Mereka makin memahami dan menyadari bahwa roh spiritualitas yang menjadi nilai lebih dan menjadi jiwanya dari bank syariah harus menjadi target mereka selalu kepada nasabah. Ternyata di dalam forum diskusi mitra mengungkapkan bahwa kondisi tersebut memang terjadi seperti itu pada bank mereka. Dan mereka juga mengalami kendala dalam melakukan promosi karena keterbatasan sumber daya organisasi yang mereka miliki, baik dari segi keuangan, mesin, tekknologi maupun sumber daya manusianya. Kami memberikan solusi bahwa mereka bisa memberdayakan kemampuan melek teknologi dari para mahasiswa yang magang di sana untuk melakukan promosi melalui jaringan media social yang marak saat ini seperti tiktok, whatsapp, Instagram, dll. Mereka bisa menggunakan berbagai jaringan social yang ada seiring dengan kemajuan teknologi  dan banyak dilihat masyarakat tanpa harus mengeluarkan biaya yang besar. Sedangkan untuk keterbatasan sumber daya manusianya otomatis perusahaan harus banyak melakukan ataupun mengikuti diklat untuk menambah kemampuan edukasi maupun skill dari para karyawan mereka. Alhamdulillah, dengan adanya kegiatan pengabdian ini, mitra sangat berterimakasih dan mendapatkan manfaat terhadap perusaan mereka.
Uso de PGPR como una alternativa biofertilizante en procesos de restauración ecológica
Authors: Beltran Jiménez Paula Andrea , Jaime Rodríguez Carolina
Published: March 2024

El uso de PGPR (plant growth-promoting rhizobacteria) que son un conjunto de bacterias que habitan en la rizosfera de las plantas y que producen todo tipo de beneficios, mejorando el crecimiento, la disponibilidad y/o la absorción de minerales (nitratos, fosfatos), ayudan a la producción de hormonas necesarias en el desarrollo de los vegetales (fitohormonas). Estos microorganismos tienen variadas aplicaciones en agricultura ecológica como biocontroladores, biofertilizantes y bioabonos y  protegen las plantas contra posibles agentes patógenos y mejoran la biodisponibilidad de nutrientes en el suelo para promover el crecimiento de las plantas. Las experiencias en restauración ecológica de ecosistemas degradados se han enfocado hacia el uso de micorrizas arbusculares y bacterias a escala de invernadero.
Explorando las profundidades del misterio: el submarino Titan y la devastación de la presión
Authors: Gómez Torres Angélica María
Published: March 2024

Desde una perspectiva científica, se realiza una descripción de la expedición hacia el naufragio del Titanic, que partió de San Juan de Terranova el 16 de junio a bordo del buque de investigación y expedición MV Polar Prince. Durante la misión, el sumergible en el que viajaban cinco ocupantes implosionó de manera trágica.
Construyendo un futuro brillante: la alianza educativa entre la UAN y la Fundación Piccolino
Authors: Gómez Torres Angélica María
Published: March 2024

La educación es una herramienta fundamental para el desarrollo de cualquier sociedad, y esto es algo que la Universidad Antonio Nariño tiene muy presente. Es por eso que, a través de su programa de extensión social, ha decidido brindar clases de biología, física, química y matemáticas a la Fundación Piccolino, una organización sin ánimo de lucro que se dedica a brindar educación a jóvenes y adultos mayores de escasos recursos.
Unleashing the power of Convolutional Neural Networks in license plate recognition and beyond
Authors: Wang Maolin
Published: March 2024

This article explores the application of Convolutional Neural Networks (CNN) in the field of license plate recognition. It begins by introducing the architecture of CNN, which consists of three key layers: Convolutional Layers, Pooling Layers, and Fully Connected Layers. The article then references three relevant papers that demonstrate how CNNs are applied in license plate recognition. The first paper utilizes TensorFlow to construct a CNN model and integrates it with an STM32MP157 embedded chip for license plate recognition. The second paper presents a real-time car license plate detection and recognition method called Multi-Task Light CNN, emphasizing robustness. The third paper employs the ResNet+FPN feature extraction network of the Mask R-CNN model and annotates a license plate dataset. The article highlights the promising future of CNNs in various fields beyond license plate recognition, emphasizing their potential for further development and industrial applications. CNNs have proven to be versatile and powerful tools in computer vision, offering solutions to a wide range of problems. Their adaptability and effectiveness make them a key player in the ongoing advancement of artificial intelligence and automation technologies.
FIRCNet: Feature-based image reconstruction with classification learning for person re-identification
Authors: Chen Junhao
Published: March 2024

As an important task in computer vision, the person re-identification problem has two main approaches, identification and verification, in solving this problem. This paper proposed a network associating these two separate methods in training, including a reconstructive model. This design encompasses three core modules: a global feature extractor, a reconstructive decoder, and a classification network. Thus, the total loss function seamlessly integrates triplet loss, cross-entropy loss, and a reconstruction loss, optimizing the network for feature discriminability, accurate identity classification, and faithful image reconstruction concurrently. The global feature plays a pivotal role in both the training and testing phases, aiding in metric learning and ensuring a distinctive representation of identities. To train the decoder and the backbone network, which collectively forms the extractor, simultaneously, the reconstructive model as a part of a wide-range autoencoder can recover the original image from extracted features. Subsequently, the classification module classifies these features, assigning them to distinct person IDs, thereby aiding in precise identity recognition. Experimental results on three major re-id datasets give a demonstration of the notable improvement in the backbone network and the advantages of this approach compared to the state-of-the-art methods.
Multimodal bird information retrieval system
Authors: Xu Hong
Published: March 2024

Multimodal bird information retrieval system can help people popularize bird knowledge and help bird conservation. In this paper, we use the self-built bird dataset, the ViT-B/32 model in CLIP model as the training model, python as the development language, and PyQT5 to complete the interface development. The system mainly realizes the uploading and displaying of bird pictures, the multimodal retrieval function of bird information, and the introduction of related bird information. The results of the trial run show that the system can accomplish the multimodal retrieval of bird information, retrieve the species of birds and other related information through the pictures uploaded by the user, or retrieve the most similar bird information through the text content described by the user.
Application of cyberspace security in video games industry
Authors: Jin Yuqi
Published: March 2024

While video games are becoming an increasingly popular worldwide industry, there is a growing number of cheaters who exploit the flaws and weaknesses of games to gain advantages or earn money. This initiates a conflict between the 'black hat' and 'white hat' players. This article provides a comprehensive classification of cheats and anti-cheats in video games, accompanied by vivid illustrative scenarios. In terms of cheat classification, there are two main categories: Generic cheats, and those of special relevance to online games. Each sub-category will be accompanied by examples or explanations of the current situations. In the section on anti-cheating measures, a table will be provided to illustrate general methods to counter common cheats. This section also includes some novel and creative anti-cheat methods that utilize different technologies to address the issues. This paper also discusses the investigation of applying artificial intelligence (AI) to combat malfeasance by some researchers. Finally, the conclusion provides a general summary of the current anti-cheat situation and presents some divergent ideas for addressing cheating.
Walmart sales prediction based on random forest model and application of feature importance
Authors: Chen Deli
Published: March 2024

Sales forecasting is crucial for efficient resource allocation and inventory management in retail. This study employs Random Forest to predict weekly sales for 45 Walmart stores, leveraging a diverse dataset with store-specific sales and external factors. Through meticulous preprocessing and model application, one achieves outstanding accuracy, with a Weighted Mean Absolute Error (WMAE) as low as 1.2030 and an impressive accuracy rate of 98.8%. Additionally, integrating feature importance ranking sheds light on influential variables in sales forecasting. This study provides a blueprint for developing precise and adaptable sales forecasting models, offering profound significance for the retail industry. It underscores the effectiveness of machine learning techniques, e.g., Random Forest and insightful feature engineering in achieving highly accurate predictions. By enhancing the industry's understanding of intricate sales dynamics, this research contributes to optimizing resource allocation, inventory management, and strategic planning. Ultimately, it drives operational efficiency and success in the dynamic landscape of the retail sector.
A survey on contextual multi-armed bandits
Authors: Chen Qiufan
Published: March 2024

As a powerful reinforcement learning framework, Contextual Multi-Armed Bandits have extensive applications in various domains. The models of Contextual Multi-Armed Bandits enable decision-makers to make intelligent choices in situations with uncertainty, and they find utility in fields such as online advertising, medical treatment optimization, resource allocation, and more. This paper reviews the evolution of algorithms for Contextual Multi-Armed Bandits, including traditional Bayesian approaches and the latest deep learning techniques. Successful case studies are summarized in different application domains, such as online ad click-through rate optimization and medical decision support. Furthermore, the author discusses future research directions, including more sophisticated context modeling, interpretability, fairness issues, and ethical considerations in the context of automated decision-making.
The Development of an Instructional Model Based on Experiential Learning Theory and Six Thinking Hats to Improve the Critical Thinking Ability of Undergraduate Students
Authors: Yefang Wu , Sereerat Bung - on , Songsiengchai Saifon , Thongkumsuk Penporn
Published: March 2024

Yulin Normal University preschool education major existing children's game course instructional model more in passing test knowledge and practice test skills, students used to passively accept knowledge, rarely use critical thinking to treat knowledge, with a critical eye to question, thinking, and discovery, long-term students will not be able to adapt to the needs of the new era of social development of survival ability and professional competitiveness. Therefore, the objectives of this study were (1) to study the factors affecting the development of critical thinking ability, (2) to develop an instructional model based on experiential learning theory and six thinking hats, and (3) to compare the critical thinking ability of Third Year college students before and after the instructional model of experiential learning theory and six thinking hats. The sample group was 30 students from preschool education majors at Yulin Normal University. The research was conducted in three steps: studying the factors that affect the development of critical thinking ability, developing the instructional model, and the experimental and improvement process. The research instruments were a questionnaire about factors that affect the development of critical thinking ability, an interview form about factors that affect the development of college students' critical thinking ability, an observation form about student behavior, an interview form about opinions on teaching, lesson plans, and a critical thinking ability test. The study's results were 1) the main factors affecting the development of critical thinking ability include the instructional environment, the teachers, and the students, respectively, 2) the instructional model based on experiential learning theory and six thinking hats was developed consisting of four core components: a) principles, b) objectives, c) learning process, and d) results, and 3) after the implementation of the instructional model based on experiential learning theory and six thinking hats, the critical thinking ability scores of the students were higher than the critical thinking ability of the students before the experiment, with a statistical significance of 0.01 level. Finally, this paper strives to develop a based on Experiential Learning Theory and Six Thinking Hats instructional model to improve the critical thinking of preschool education students at Yulin Normal University.
The Power of Visuals: The Significance of Higher Education Teacher Professional Development in Visual Literacy in Kuwait
Authors: Zayeb Alaa J. , Aleidan Ayda A. , Ali Naser GH.
Published: March 2024

This study explores the role of higher education professional development in the integration of visual literacy instruction at the university level. Visual literacy is a crucial skill that empowers students to comprehend and generate visual content across diverse domains. However, many instructors lack necessary training and support to effectively incorporate visual literacy into their teaching practices. The research survey investigates the significance of teacher professional development in visual literacy implementation, encompassing the status of training, effective professional development programs for teachers, suitable teaching methods, education technologies, attitudes of higher education instructors towards visual literacy, and the influence of student engagement with visual materials on visual literacy advancement in Kuwait. The questionnaire was administered to a sample of higher education teachers. That data was analyzed employing descriptive and inferential statistical techniques, with SPSS v.26 software. Regression analysis and other multivariate analyses were conducted to test the research hypothesis and model. The outcomes should provide insights into the effectiveness of collaborative, experiential, and technology-enhanced teacher professional development programs in fostering visual literacy development within higher education, the significance of student engagement with visual materials, and the necessity for further research on effective teaching methods and educational technologies for promoting visual literacy. The findings can inform policy and practice by highlighting the importance of equipping higher education instructors with necessary skills and resources to effectively incorporate visual literacy into their teaching approaches, enhancing the quality of higher education by fostering competencies among students and facilitating their engagement with visual materials across various disciplines.
Editorial
Authors: Ketner Susan
Published: March 2024

Vol trots presenteren wij u het eerste nummer van JSI in 2024. Als nieuwe redactie zijn we blij en dankbaar voor alle input. We bouwen voort op het stevige fundament dat de Rotterdamse redactie de afgelopen jaren heeft neergezet. We willen hen hartelijk danken voor de inzet de afgelopen jaren. Toby Witte, Szabinka Dudevszky, Wieteke Van Dam en Lisbeth Bakker: alle hulde en lof! Kon minder, zoals ze hier in het noorden zouden zeggen. Wie zijn wij, de nieuwe noordelijke redactie van JSI? En wat zijn onze plannen voor de toekomst?
Including SDGs in low-carbon transport scenarios: A case of Udaipur
Authors: Mahadevia Darshini , Lathia Saumya , Mukhopadhyay Chandrima
Published: March 2024

Transportation is fundamental to shaping urban form and quality of life. The transport sector contributes to a quarter of global GHG emissions. It is integral to countries’ Nationally Determined Contributions (NDCs) to mitigate global warming or control warming beyond 2 ℃ or 1.5 ℃ above the pre-industrial level. Climate change mitigation in the transport sector demands a tailored approach for cities of the global south—recently urbanizing with increased dependence on motorization—incorporating social aspects of sustainability. The study examines the delivery of climate change mitigation and Sustainable Development Goals (SDG) in Udaipur’s passenger transport sector through six SDGs. Over and above the business-as-usual scenario, the two scenarios presented are the technology scenario, which recalibrates Udaipur’s available low-carbon mobility plan, and the SDG scenario, which addresses social transformations by applying assumptions derived from the primary survey in the city. The socially sensitive SDG scenario prioritizes the mobility demands of those with low or no mobility. It also enhances mobility by retaining the share of non-motorized transport (NMT), intermediate public transport (IPT), and public transport (PT) and regulating excessive use of private motorized vehicles. However, the SDG scenario causes a 26% increase in the vehicle kilometer traveled (VKT), a 24% increase in CO2 emissions, and a 29% decrease in other GHG emissions over the Technology Scenario.
Legal regulation of the use of cannabis sativa in rational medicine in Indonesia
Authors: Poppy Aristiani Putu Tissya , Bagiastra SH MH Dr. I Nyoman
Published: March 2024

Medical marijuana (Cannabis sativa) has been used since ancient time. Its use is written in medical books from china, India and even the Mesopotamian era. In these records, the use of marijuana (Cannabis sativa) is not only as a medicine, but also as a food ingredient and a ritual tool. A popular issue in Indonesia today is about legalization of medical marijuana. Marijuana is a class I narcotic which is written in the law. Cannabis has a very high potential to cause addicted and not used for therapy. However, several institutions have discussed that marijuana can be legalized in Indonesia. Cannabis can provide health benefits and has economic potential. Marijuana countains cannabinoids that are considered to have medical benefits. Several countries have developed marijuana into legal medicinal preparations. Economically, medical marijuana has great potential as an export commodity. The approach in this study uses a qualitative method by using data from books, regulations, expert opinions, as well as examining various scientific journal using Garuda, PubMed, Science direct, and Wiley. The result of data analysis is in the form of systematic information. This article can be a reference for development and legalization of medical marijuana in Indonesia.
Nghiên cứu đặc tính cơ học của bê tông cường độ cao dùng nhiều tro bay có kết hợp các loại và hàm lượng sợi khác nhau
Authors: Nguyễn Công Hậu  , Nguyễn Thị Thu Thủy
Published: March 2024

Bài báo trình bày kết quả nghiên cứu sử dụng tro bay (FA) của nhà máy nhiệt điện Vĩnh Tân với hàm lượng lớn và các nguyên vật liệu phía Nam, sợi thép (SF) và sợi Polypropylene (PP) để chế tạo bê tông cường độ cao. Loại bê tông này có thể đạt cường độ chịu nén thiết kế 28 ngày cao hơn 60 MPa, tuy nhiên có mẫu thực tế đạt trên 80MPa. Nghiên cứu các cấp phối bê tông ở các tỷ lệ phối trộn thể tích sợi thép lần lượt là 0,5%; 1,0%, 1,5%, tỷ lệ phối trộn sợi PP là 1,5%, và cấp phối hỗn hợp 0,75% SF và 0,75%PP. Nhận thấy khi thêm sợi thép và sợi PP vào hỗn hợp bê tông thì độ sụt giảm, nhất là sợi PP giảm mạnh từ 17cm xuống còn 4 cm; cường độ chịu nén, cường độ chịu kéo khi ép chẻ ở 28 ngày cũng tăng thêm 10% đến 15% so với mẫu không có sợi; độ hút nước cũng giảm mạnh do cấu trúc bê tông càng đặc chắc khi thêm sợi và cơ chế tác dụng của tro bay. Nghiên cứu đề xuất tỷ lệ phối trộn hợp lý của bê tông là 0,75% SF và 0,75%PP để đáp ứng đồng thời các tiêu chí về tính công tác, cường độ, độ hút nước và giá thành.
Characterization of Escherichia coli isolated from burn and chronic wound patients in Le Huu Trac National Burns Hospital
Authors: Vu Thi Thu Loan , Nguyen Thanh Viet
Published: March 2024

Escherichia coli is responsible for many infections that affect burns and wound healing. They are highly resistant to antibiotics. Thus, the antimicrobial susceptibility pattern in burn and chronic wound infection may be useful in treating E. coli infections. This study aimed to determine the prevalence and the antibiotic susceptibility of E. coli in burn and chronic wound infection in the Le Huu Trac National Burns Hospital from January 2021 to May 2023. E. coli were identified and the antibiotics susceptibility testing was performed using the VITEK 2 automated system. A total of 4326 samples were cultured. There were 41 (0.95%) samples positive and 4285 (99.05%) samples negative for E. coli. The E. coli infected were more common in males (n = 22; 53.66%) than in female patients (n = 19, 46.34%). The infection was the highest in farmers (n = 25; 60.98%), followed by the self-employed (n = 8; 19.51%) and retired (n = 8; 19.51%). E. coli was highly sensitive to Fosfomycin (100%), Carbapenem class (> 90%), Colistin (92.31%), and Amikacin (87.18%) but resistant to Pefloxacin (100%), Minocycline (100%), Penicillins class (> 90%), and Trimethoprim-Sulfamethoxazole (84.62%). The use of Fosfomycin, carbapenem class, Colistin, and Amikacin are effective against E. coli and can help prevent the spread of infection.
Evaluating the intraoperative changes in several hemodynamic parameters using uscom method in severe burn patients undergoing burn necrotomy, skin grafting
Authors: Nguyen Van Quynh , Vo Van Hien
Published: March 2024

Objective: To evaluate the intraoperative changes in some hemodynamic parameters by the USCOM method in severe burn patients undergoing burn necrotomy, skin grafting.Subjects and methods: 30 severe burn patients, aged 16-60, treated at the Emergency Department, National Burn Hospital, were scheduled for necrosis and skin grafting from May 2023 to December 2023. Cross-sectional, clinical descriptive study.Results: CO and CI values at all study times were within normal limits (3.5-8 l/min and 2.4-4.2 l/min/m2). CO and CI were highest at the time of pre-medication (6.93 and 4.24) and lowest at the time of skin grafting (5.87 and 3.61). SVR values at all times were within normal limits (800 - 1600 d.s.cm-5). SVR was highest at the time the patient was awake (1278.33) and lowest at the time immediately after induction of anesthesia (976.93). SVRI values at 3 times after induction of anesthesia, before necrotomy, and at the time of necrotomy were lower than normal values (1800-3200 d.s.cm-5.m2). SVI at the remaining time points was within normal limits. SV values at all times were within normal ranges (50-110 cm3). SVI values at most times were smaller than normal values (35 - 65 ml/m2), except for at the time of necrotomy (35.03). SVV values at all times were higher than normal (< 20%).Conclusion: Stroke volume variation (SVV) parameters at all study times were higher than normal values corresponding to the age range. The stroke volume index parameter SVI at most times was lower than the normal value, and SVRI at all times was not higher than the normal value. However, the parameters cardiac output (CO), cardiac index (CI), stroke volume (SV), and systemic vascular resistance (SVR) were all within the range of normal values corresponding to the age range at the research time points.
Vitiligo and surgical treatment
Authors: Tran Van Anh , Vu Quang Vinh
Published: March 2024

Objective: Initial comments on the effectiveness of surgical treatment of vitiligoResearch subjects and methods: A prospective study on 12 cases of vitiligo that were successfully treated with autologous pigment cell transplant surgery. Research period from September 2018 to October 2022 at the Center for Plastic Surgery, Surgery & Regeneration - Le Huu Trac National Burn HospitalResults: 12 patients with an average age of 29, with vitiligo in several locations on the body, received pigment-containing cell transplant surgery. The graft adheres well, ensuring good coverage and assimilating the color of the vitiligo skin area with the surrounding healthy skin after about 12 months.Conclusion: Pigment graft surgery is one of the effective methods of treating vitiligo and can be applied to large areas of the diseased skin.
Aplikasi Pengukuran Kayu Berbasis Android pada SMK Kehutanan (Studi Kasus SMK Kehutanan Sobat Bumi)
Authors: Liani Erna , Purba Riki , Anggraini Novita
Published: March 2024

Aplikasi android menjadi sistem operasi populer di seluruh dunia karena perkembangannya, aplikasi android juga berpengaruh pada dunia pendidikan sebagai penunjang media pembelajaran. Pada SMK Kehutanan Sobat Bumi diperlukan media serta alat untuk praktik pengukuran kayu. Pengolahan serta media yang masih manual mengakibatkan sering terjadinya human error atau media yang digunakan sering rusak dan juga menghabiskan waktu. Dalam permasalahan tersebut, dibutuhkan media dan alat ataupun aplikasi pengukuran kayu berbasis android untuk membantu dan mempermudah perhitungan, pengolahan, dan pencatatan data sehingga data yang dihasilkan lebih akurat. Penelitian ini menggunakan metode pengumpulan data dan  metode waterfall sebagai pengembangan sistem aplikasi. Pada tahap penulisan kode, digunakan rumus baku pengukuran kayu Indonesia yaitu . Hasil penelitian menunjukkan aplikasi pengukuran kayu berbasis android  membantu siswa-siswi SMK Kehutanan dalam proses hitung kubikasi kayu lebih akurat. Adapun media atau alat pencatatan dan pengolahan data akan lebih praktis dan dapat digunakan sebagai media implementasi dari pemanfaatan aplikasi android.
Implementasi Keamanan Jaringan dengan Metode Security Profiles menggunakan Fortigate pada Komisi Aparatur Sipil Negara
Authors: Arbie Fauzi Rizki , Raharjo Mugi
Published: March 2024

Kemajuan teknologi saat ini membuat semua pekerjaan yang dilakukan tidak lepas dari penggunaan jaringan internet, baik untuk mengakses halaman situs untuk mencari informasi maupun penggunaan aplikasi sebagai media untuk bekerja. Setelah dilakukan penelitian mendalam, ditemukan bahwa manajemen dan keamanan jaringan yang digunakan pada Komisi Aparatur Sipil Negara Pancoran masih menggunakan pengaturan default, menyebabkan penggunaan internet yang kurang efisien ketika waktu kerja, juga rentan terhadap serangan dari luar. Keamanan  jaringan sangat penting untuk melindungi data yang terkoneksi dalam jaringan baik dari sisi pengguna maupun dari server. Selain itu administrator kesulitan untuk mengontrol hak akses terhadap web dan aplikasi yang tidak berkaitan dengan kebutuhan organisasi atau instansi. Untuk memudahkan administrator mengontrol serta meningkatkan keamanan jaringan, maka optimalisasi penggunaan firewall fortigate 500E sangat diperlukan. Dengan mengimplementasikan metode security profiles pada perangkat fortigate tersebut, maka akan memudahkan untuk mengatur lalu lintas jaringan pada jam – jam yang sudah diatur serta meningkatkan keamanan jaringan terhadap serangan dari luar yang tidak bertanggung jawab. Dengan implementasi metode security profiles tersebut, web dan aplikasi yang tidak sesuai dengan tujuan organisasi dapat di blok secara otomatis sesuai waktu yang sudah diatur dan keamanan jaringan pada Komisi Aparatur Sipil Negara Pancoran akan terjaga. Dengan implementasi ini penggunaan internet di Komisi Aparatur Sipil Negara dapat lebih stabil dengan menentukan priority akses terhadap aplikasi yang sering digunakan.
Perancangan Website Pembelajaran Bahasa Jepang dengan Fokus Materi Klausa melalui Metode Waterfall
Authors: Ardiansyah Dimas , Purnamasari Ade Irma
Published: March 2024

Minat bahasa Jepang semakin meningkat di Indonesia, khususnya di LPK IHMI Cirebon, seiring dengan pertumbuhan hubungan bilateral dan teknologi informasi. Penelitian ini bertujuan untuk meningkatkan pembelajaran bahasa Jepang khususnya materi klausa bahasa Jepang melalui perancangan website di LPK IHMI Cirebon. Metode konvensional yang kurang interaktif menjadi hambatan bagi partisipasi aktif pembelajar. Pendekatan inovatif diusulkan dengan memanfaatkan website, terutama melalui platform WordPress, dan mengacu pada buku "Minna no Nihongo" sebagai sumber materi pembelajaran yang komprehensif. Pemilihan platform WordPress didasarkan pada kemudahan penggunaan dan integrasinya dengan layanan lainnya. LPK IHMI Cirebon menghadapi tantangan sumber daya pembelajaran dan metode konvensional yang kurang interaktif, berdampak pada partisipasi siswa, kemajuan, motivasi, dan pemahaman. Metode penelitian Waterfall digunakan dengan fokus mengembangkan modul pembelajaran web, terutama pada bab 22 "Minna no Nihongo" tentang materi klausa bahasa Jepang yang masih dianggap materi tersulit dalam bahasa Jepang. Implementasi melibatkan integrasi teknologi pembelajaran, terutama Artificial Intelligence, untuk meningkatkan interaktivitas. Hasil pengujian menunjukkan website bekerja sesuai yang direncanakan dengan tingkat efektivitas yang sesuai sebesar 100% dan memberikan kinerja positif sebagai alat pembelajaran bahasa Jepang sebesar 95%.
SETTLEMENT OF SEXUAL VIOLENCE AGAINST CHILDREN BASED ON BALINESE CUSTOMARY LAW
Authors: Sukmayoga Wiweka Gede Rhama , Ari Atu Dewi Anak Agung Istri , Arya Sumertayasa Putu Gede , Bagiastra I Nyoman
Published: March 2024

Studi ini bertujuan untuk mengkaji dan menganalisis terkait penyelesaian tindak pidana kekerasan seksual terhadap anak berdasarkan hukum positif di Indonesia serta hukum adat Bali. Studi ini menggunakan metode penelitian hukum normatif dengan pendekatan pendekatan fakta, pendekatan perundang-undangan, pendekatan kasus, serta pendekatan analisis konsep hukum. Hasil penelitian ini menjelaskan bahwa Pengaturan terkait tindak pidana kekerasan seksual terhadap anak diatur dalam Pasal 81 dan Pasal 82 UUPA, terkait penyelesaiannya menurut system peradilan pidana disesuaikan dengan ketentuan KUHAP. Serta penyelesaian tindak pidana kekerasan seksual terhadap anak dalam hukum adat Bali dijabarkan menjadi dua pendekatan keadilan, yaitu sanksi pidana pendekatan pembalasan (retributive)  atau sanksi pidana pendekatan pemulihan (restoratif). Dan jika dalam penyelesaianny melalui pendekatan restoratif, hak korban perlu mendapat perhatian karena korban adalah pihak yang berkepentingan yang seharusnya mempunyai kedudukan (hukum) dalam proses penyelesaiannya. Namun, pada sistem peradilan pidana pada umumnya, ditengarai bahwa korban tidak menerima perlindungan yang setara dari pemegang wewenang sistem peradilan pidana, sehingga kepentingan yang hakiki dari korban sering terabaikan dan kalaupun itu ada hanya sekedar pemenuhan sistem administrasi atau manajemen peradilan pidana.
Manufacturing and formulation of natural products based on the Chitosan as active ingredientin the forms of gel and spray
Authors: Gholibeikian Mohammadreza , Nooriani Zahra , Firouzi Amirhosein , Samali Nastaran , faraji Somayeh , oshli Afsaneh
Published: March 2024

The purpose of this work is to make based on natural polysaccharide compounds such as chitosan for the microorganism testwhich led to the destruction of Escherichia coli bacteria, Candida albicans vegetative cells and Aspergillus niger spores and Herpes simplex virus (HSV-1). Chitosan products in the forms of gel and spray have bactericidal, fungicidal and virucidal properties as antiseptic products. Chitosan polysaccharides with high molecular weight are extracted from aquatic organisms such as shrimp.Physical and chemical analysis, identification test of Chitosan as active ingredient and also non-sensitizing test of these products in the forms of gel and spray have been done on the rabbit's skin that did not show no sensitivity and inflammation. It seems that natural products in the forms of gels and sprays based on chitosan, as alternative products for alcohol and chemical compounds, have a useful and promising role as antiseptic in eliminating bacteria, fungi and viruses left on the skin of the hands.
In-silico structural and phylogenetic analysis of human beta globin gene family
Authors: Waqar Mazhar Muhammad , Ali Hamza , Umber Javeria , Anjam Mahrosh , Batool Sara , Raffique Hassan
Published: March 2024

There are 5 members of the human beta globin gene family. They have blood transportation function. There are some diseases related to the mutation in these gene. the common disease related to mutation these genes are sickle cell anemia, thalassemia etc. The structural and phylogenetic analysis is performed by using some bioinformatics tools. The gene sequence is retrieved and run under some tools to perform the specific analysis. The analysis performed include are similarity with other organism, determination of conserved domains and motifs, multiple sequence alignment, generation of phylogenetic tree, identification of exons and introns and determination of restriction sites. And the tools used for these analyses are BLASTP, pfam, clustal omega, MEGA7, gene structure display tool and serial cloner respectively. This study came out with a result that the genes diverged due to duplication and then mutation. The gene contain mostly non coding portion but there are 3 exons and 2 introns. The length of 2 introns is far more than that of 3 exons. In future the techniques like CRISPR/cas gene editing tool will be used to treat the disease related the beta globin gene family. Key words:human beta globin gene, bioinformatics study of HBB, genome wise study of HBB, Beta subunit, hemoglobin beta subunit.
Development of New Normal Administration Model According to Good Governance Principles of Schools under Sakon Nakhon Primary Education Service Area Offices in Sakon Nakhon Province
Authors: Chumpunya Ponchai , Phengsawat Waro , Nanthasri Wanphen
Published: March 2024

The objectives of research were to develop the new normal administration model according to the principles of good governance for schools under the Office of Primary Educational Service Area in Sakon Nakhon Province. The findings were as follows: I) Components of new normal administration for schools, consisting of 8 components: 1) New Normal Administration Planning 2) New Normal Working Method 3) New Normal Learning Curriculum Administration 4) New Normal Learning Administration 5) New Normal Learning Evaluation 6) New Normal Learning Resource Administration 7) New Normal Collaboration, and 8) Safety. Overall, it is at the most suitable level–the possibility at a high level. II) The new normal administration model consists of 5 components: 1) principles 2) objectives 3) structure 4) administration process and 5) mechanism. As for the components of the administration process, there are 8 sub-components, namely 1) New Normal Learning Resource Administration 2) New Normal Learning Administration 3) New Normal Learning Curriculum Administration 4) New Normal Learning Evaluation 5) New Normal Cooperation 6) New Normal Working Methods 7) Safety, and 8) New Normal Administration Planning. Four external factors affect the administration, including: 1) economic 2) technology, 3) social, and 4) political. III) Every component of the model is suitability possibilities and usefulness is at the highest level. IV) The manual for using the model consists of 3 components: 1) an explanation, 2) an introduction that presents details about the background, importance, objectives, and expected benefits, and 3) details of the model with the results of suitability at the highest level.
Significance of Synergetic Strategy of Factors, Infrastructure Development, and Trade in Regional Integration—A Case Study of the Yangtze River Delta Region
Authors: Li Chuanjie , Liu Yuhan , Chen Hao
Published: March 2024

The Yangtze River Delta (YRD) is one of the regions with the most dynamic economy, the highest degree of openness, and the strongest innovation capability in China, possessing crucial factor markets, infrastructure development, and population resources. With the progress of China’s reform and opening-up policies and economic development, the YRD has achieved remarkable economic growth and social progress over the past few decades. Research on the economic and social integration of the YRD aims to deeply understand the development status of factors, infrastructure development, and trade within the region, and to explore how to address issues of inter-regional cooperation, coordination, and integration in the corresponding direction. Comprehensive research methods, including desk research, quantitative analysis, and qualitative analysis, are need to adopted in this research. This paper primarily proves through data collection that the research on regional factors, infrastructure development, and trade integration in the YRD is of great significance for promoting regional synergetic development, optimizing resource allocation, and enhancing overall competitiveness.
A Note on the Nonlinearities of Brazilian Monetary Policy
Authors: Mansilla Fernando Marques , Arruda Elano Ferreira , Ferreira Roberto Tatiwa
Published: March 2024

This note analyzes the occurrence of asymmetry in Brazilian monetary policy considering distinct inflation levels. For this purpose, we use data with monthly frequency between 2003 and 2021 and a nonlinear Taylor rule. The results indicate that under the low inflation scenario, the impact of the deviation of inflation expectations to the target is statistically insignificant, revealing a preference by the monetary authority for price stability. Besides, there is a smoothing process in the conduction of Brazilian monetary policy, and the economic activity and the exchange rate are not statistically significant in the central bank reaction function during the period studied.