bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing Digital L2 Literacy During Compulsory Schooling
Authors: Cariaga Romina 
Published: October 2024

This reflection article analyzes a pedagogical experience, carried out at a public secondary school in Argentina, in an English course. Its goal was to develop students’ digital L2 literacy through collaborative digital storytelling, making students aware of the significant role that multimodality plays in communicating messages. The methodology chosen was ‘project work’ as a teaching strategy. The project’s teaching sequence was made up of five phases: bibliographical research,design, video production, socializing and assessment. The conclusions presented stem from the systematic use of participant observation technique, based on the analysis of multiple data sources (classroom discussions, students’ writing of drafts, final video products and post-project selfevaluation). They show that the experience provided students the opportunity to develop digital literacy, a key competence for the 21st Century which should become the very core of what L2 teachers should focus on these days.
THE INFLUENCE OF CUSTOMER EXPERIENCE AND BRAND IMAGE ON CUSTOMER SATISFACTION (STUDY OF TOKOPEDIA USERS IN BANDUNG)
Authors: Zulganef Zulganef , Taruna Dicky Gustafianto 
Published: October 2024

<p>This study aims to analyze customer satisfaction for Tokopedia users in Bandung City. This study uses the variables customer experience and brand image to analyze the effect of these variables on customer satisfaction for Tokopedia users in Bandung City. Respondents in this study totaled 106 people. The sampling technique used is purposive sampling technique through questionnaire. The data analysis used is the instrument test of validity, reliability, classical assumption test, descriptive analysis method and multiple linear regression analysis. This research results found that the customer experience and brand image variables have a positive effect on customer satisfaction. Authors also make some recommendation</p><p><strong>Abstrak dalam Bahasa Indonesia.</strong></p><p>Penelitian ini bertujuan untuk menganalisis Kepuasan Pelanggan pengguna Tokopedia di Kota Bandung. Penelitian ini menggunakan variabel Pengalaman Pelanggan dan Citra Merek untuk menganalisis pengaruh variabel-variabel tersebut terhadap Kepuasan Pelanggan pengguna Tokopedia di Kota Bandung. Responden dalam penelitian ini berjumlah 106 orang. Teknik pengambilan sampel yang digunakan adalah purposive sampling melalui kuesioner. Analisis data yang digunakan meliputi uji instrumen validitas, reliabilitas, uji asumsi klasik, metode analisis deskriptif, dan analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa variabel pengalaman pelanggan dan citra merek memiliki pengaruh positif terhadap kepuasan pelanggan. Penulis juga memberikan beberapa rekomendasi.</p>
Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review
Authors: Destriani Rahma , Adhitama Raihansyah Yoga , Sensuse Dana Indra , Hidayat Deden Sumirat , Purwaningsih Erisva Hakiki 
Published: October 2024

Background: Human Resource Management System (HRMS) is an important aspect of managing organizations. However, the successful integration of the system into respective roles is often associated with diverse technological challenges and trends. Some major obstacles identified in recent research include reluctance to change, lack of training, fragmented Human Resource (HR) data, rigid processes, and continuous changes in organizational needs. Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. This shows the need for a systematic literature review to comprehensively map the challenges and technology trends shaping the implementation of HRMS.
Objective: This research aimed to conduct a comprehensive review of existing literature to identify the main challenges faced during HRMS implementation and the latest technology trends in the space.
Methods: A systematic literature review was adopted through the Kitchenham method with a focus on five databases including Scopus, Emerald, IEEE, Science Direct, and ProQuest.
Results: The result was in the form of a table mapping of the challenges faced by each stakeholder in HRMS, including resistance to change, lack of management support, and limited technology infrastructure. Meanwhile, the most common technology challenges found were system integration issues, data security, and lack of technical capabilities or skills. The potential opportunities from technology trends to address the issues included training and skills development, enhanced cybersecurity, and effective change management methods. These recommendations were designed to support organizations in further optimizing HRMS utilization and leveraging the latest technologies such as AI and blockchain.
Conclusion: The review used a structured method to develop a rich overview through tabular presentations summarizing problem identification and technology trend compilation of HRMS. The systematic exploration aimed to contribute valuable insights into the complexities of HRMS implementation and offer a comprehensive perspective on the emergence of relevant technology trends. The results were expected to contribute to future research directions in this important area at the nexus of Human Resource Management (HRM) and technological innovation.

Keywords: Human Resource Management System, Challenges, Technology Trends, Systematic Literature Review
Leveraging Social Media Data for Forest Fires Sentiment Classification: A Data-Driven Method
Authors: Maharani Warih , Daud Hanita , Muhammad Noryanti , Kadir Evizal Abdul 
Published: October 2024

Background: The rise in forest fires over the last two years, which is due to rise in dry weather conditions and human activities, have greatly impacted an area of 1.6 million hectares, leading to significant ecological, economic, and health issues, hence the need to improve disaster response strategies. Previous research determined the lack of coverage regarding public response during forest fires with conventional methods such as satellite images and sensor data. However, social media platforms provide real-time information generated by users, along with location information of disaster events. Sentiment analysis helps in understanding the public reactions and responses to natural disasters, thereby increasing awareness about forest fires.
Objective: The purpose of this research is to assess the efficiency of Long Short-Term Memory (LSTM) method in classifying sentiment for social networks in regard to forest fires. This research aims to examine the effect of TF-IDF, unigram, and the FastText features on the effectiveness of the classification of sentiment.
Methods: The precision, recall, and F1 score of 2, 3, and 4 determined in the LSTM models with commonly available sentiment analysis tools, such as the Vader Sentiment Analysis and SentiWordNet was used to evaluate the performance of the model.
Results: With an improvement of roughly 10%, the four layers of the LSTM model generated the best performance for the evaluation of sentiments about forest fires. The LSTM model with FastText achieved F1, recall and precision scores of 0.649, 0.641, and 0.659, which exceeds lexicon-based method including SentiWordNet and Vader.
Conclusion: The experimental results showed that the LSTM model outperformed lexicon-based methods when used to analyse the tweets related to forest fire. Additional research is required to integrate rule-based models and LSTM models to develop a more robust model for dynamic data.

Keywords: Forest Fire, Disaster, Long Short-Term Memory, LSTM, Vader, SentiWordnet
Indonesia dalam Republik Wayang Karya N. Riantiarno: Wajah Kehidupan Sosial, Budaya, dan Politik Masa Reformasi (2001‒2014)
Authors: Yoesoef M. 
Published: October 2024

Artikel ini bertujuan membahas dinamika sosial, budaya, dan politik di Indonesia dalam empat drama karya N. Riantiarno, yaitu “Republik Bagong” (2001), “Republik Togog” (2004), “Republik Petruk” (2009), dan “Republik Cangik” (2014). Keempat karya drama itu terdapat pada buku Republik Wayang (2016). Setiap karya menggunakan cerita wayang yang berkorelasi dengan situasi dan kondisi Indonesia pada masa Reformasi (2001—2014), yang erat kaitannya dengan dinamika sosial, budaya, dan politik. Pembahasan terhadap keempat drama menggunakan konsep struktural genetik yang membahas konektivitas antara teks sastra dengan berbagai peristiwa faktual dalam pada masa Reformasi sehingga tergambar relasi lintasan sejarah penting dalam kurun waktu masa reformasi itu di dalam teks sastra. Hasil pembahasan menunjukkan bahwa di dalam keempat karya itu para tokoh panakawan menyuarakan realita sosial, budaya, dan politik di Indonesia antara tahun 2001--2014; tokoh punakawan dipakai sebagai simbol stereotip suara rakyat jelata, merepresentasikan para pengabdi yang kritis untuk menanggapi berbagai fenomena praktik relasi kuasa dalam kehidupan sosial, budaya, dan politik yang terbangun di masa Reformasi setelah runtuhnya Orde Baru.
THE EFFECT OF NON PERFORMING FINANCING, OPERATIONAL EFFICIENCY RATIO, AND SIZE FIRM ON PROFITABILITY OF ISLAMIC BANKING IN INDONESIA
Authors: Sari Annisa Fitri Anugrah , Fauzi Achmad , Respati Dwi Kismayanti 
Published: October 2024

This research aims to determine the effect of Non Performing Financing (NPF), Operational Efficiency Ratio (BOPO), and Size Firm on Profitability of Islamic Banking in Indonesia. The data collection method used is the study documentation method. This research will collect data on the annual financial report on The Financial Services Authority (OJK) website. The affordable collection in this study was Islamic Rural Banks (BPRS) listed on The Financial Services Authority (OJK) in 2018 – 2020 with 144 banks. The sample used were as many as 102 banks using random sampling and Isaac and Michael function. The data analysis techniques used are multiple linear regression, pre-requirement test, classic assumption, and hypothesis analysis. The research shows that NPF has a significant negative effect on profitability, BOPO has a significant negative impact on profitability, and size firm has a negative, not significant effect on profitability. The coefficient of determination in this study was 22,8% which showed the ability of NPF, BOPO, and size firms to influence profitability. In contrast, the rest were influenced by other factors that were not examined.
EFFORTS TO INCREASE LEARNING MOTIVATION AND LEARNING OUTCOMES THROUGH GOOGLE CLASSROOM DURING THE COVID-19 PANDEMIC
Authors: Cahyaningsih Nabilla , Faslah Roni , Sholikah  
Published: October 2024

This study aims to increase student learning motivation and learning outcomes by implementing the Blended Learning and Google Classroom system in the Office Management and Business Services Study Program of SMKN 14 Jakarta. The method in this study is Class Action Research which is carried out with 2 cycles. The subjects in this study were 35 students in archival subjects and the object of research was carried out at the time of the study. The data analysis technique used is descriptive quantitative by referring to the percentage paad as a measure of motivation level and through the evaluation of each meeting to measure learning outcomes. The results of this study on cyclical I were obtained an average learning motivation of 69% and learning outcomes with an average grade of 80.8. Of course, the situation in the first cycle experienced an increase of 29% for learning motivation and 7.8 points for the average class of learning outcomes. The second cycle experienced a 28% increase from the previous cycle with an average learning motivation
Optimizing ESP Component Supply Chains Using Genetic Algorithms: A Novel Approach to Enhancing Operational Efficiency and Cost Reduction in the Oil & Gas Industry
Authors: Al-Jishi Hassan 
Published: October 2024

Abstract
This paper presents a novel approach to optimizing the supply chain management of Electrical Submersible Pump (ESP) components in the oil and gas industry using Genetic Algorithms (GA). The study develops a GA-based framework that dynamically adjusts inventory levels, ordering schedules, and logistics for ESP components to achieve optimal operational efficiency and cost savings without compromising the availability of crucial parts. By incorporating critical factors such as lead times, safety stock levels, and demand variability, the proposed model offers a robust and flexible solution for minimizing costs and ensuring component availability in the dynamic and uncertain environment of oil and gas operations.
Reconstruction of Diploid High-Order 3D Genome Interactions from Long Noisy Concatemers
Authors: Xiao Chuan-Le , Chen Ying , Lin Zhuo-Bin , Wang Shao-Kai , Wu Bo , Niu Longjian , Zhong Jiayong , Sun Yi-Meng , Zheng Zhenxian , Bai Xin , Liu Luo-Ran , Xie Wei , chi Wei , Luo Ruibang , Hou Chunhui , Luo Feng , Ye Tiantian 
Published: October 2024

Abstract

Differential high-order chromatin interactions between homologous chromosomes play pivotal roles in many biological processes. However, their elucidation has been hindered by technical difficulties. Traditional 3C methods mainly expose 2-way interactions and offer limited haplotype information. In response, we addressed challenges in harnessing merely nanopore high-order concatemer (Pore-C) reads to delineate diploid high-order chromatin interactions. By training a cutting-edge deep learning model and making statistical analysis, we achieved superior SNV calling and haplo-tagging for noisy short monomers. Learning the haplotype characteristics of high-order concatemers allowed us to devise a progressive haplotype imputation strategy, which elevated the haplotype informative Pore-C contact rate by 14.1-fold to 76% in the HG001 cell line, eclipsing Hi-C's rate by over ten times. Overall, our diploid 3D genome interactions surpassed conventional methods in noise reduction and contact distribution uniformity, with over one magnitude advantages in haplotype informative contact density and genomic coverage rate. Dip3D enabled the unveiling of haplotype high-order interactions in many previously overlooked genomic regions and the investigation of their relationship with allele-specific expression, especially concerning X-chromosome inactivation. Our approach stands out as a robust and accessible solution for the high-quality reconstruction of diploid high-order 3D genome interactions.
Cellulose Nanocrystal/Polydimethylsiloxane hybrid membranes for air dehydration at elevated temperatures
Authors: Alikhani Nasim , Li Ling , Wang Jinwu 
Published: October 2024

Abstract

This research study developed a dense composite membrane made of cellulose nanocrystal (CNC) and polydimethylsiloxane (PDMS) to efficiently separate water vapor from air at elevated temperatures up to 80°C. In this study a casting method was used to fabricate CNC/PDMS membranes. The water vapor permeability of the membrane samples was measured with a Payne diffusion cell (dry cup method) coupled with a Dynamic Vapor Sorption (DVS) instrument, while the nitrogen gas permeability was measured with a gas permeation cell. The results showed that the optimal CNC concentration of 2%, enhanced water vapor permeability at all temperatures up to 24.8% while increasing the selectivity slightly up to 3.1%. The membranes were characterized using AFM, FTIR, SEM, and TMA. measured the CTE of the prepared samples to study the dimensional stability as a function of temperature change. The optimized membranes showed an 8.9% lower value for CTE which results in higher thermal dimensional stability of the sample. The results have demonstrated that CNC-reinforced PDMS has potential to be used as selective membranes to remove water vapor from exhaust warm air such that the air recovers its drying capability and can be recirculated as the working medium in drying systems.
Bronchial Artery Embolization Leading to Acute Myocardial Infarction: A Case Report on Bronchial Artery-Coronary Artery Fistula
Authors: Sun Shougang , Zou Qi , Chang Peng 
Published: October 2024

Abstract

A 22-year-old woman presented with hemoptysis for three days, averaging 150 ml of blood per day. She had no history of childhood chest disease. On admission, a chest scan suggested a potential lung infection, and laboratory results showed no significant abnormalities. Despite continuous infusion of posterior pituitary hormone, her symptoms persisted. We performed bronchial arteriography and embolization using 150–350 µm microsphere particles. During the procedure, the patient developed chest pain. ECG showed abnormal Q-waves and ST-T elevation, with vital signs indicating hypotension and elevated myocardial enzymes suggesting acute myocardial infarction (AMI). Repeated arteriography revealed a bronchial artery-right coronary artery fistula, likely worsened by a dislodged gelatin sponge blocking coronary microvessels. The embolization was halted, and treatment with low molecular weight heparin and aspirin was initiated. By the fifth postoperative day, the patient's ECG indicated an abnormal Q wave in the inferior leads, and myocardial enzymes were gradually returning to normal. One week later, coronary angiography revealed no blockage, and the patient was discharged after stabilization. The cardiovascular magnetic resonance (CMR) indicated myocardial necrosis and edema in the inferior wall of the heart. During subsequent follow-up, the patient reported no significant chest pain or recurrence of hemoptysis.
Clinical Presentation and Management Challenges of Sphingosine-1-phosphate Lyase Insufficiency Syndrome Associated with an SGPL1 Variant: A Case Report
Authors: Saeedi Vahid , Rahimzadeh Nahid , Ehsanipour Fahimeh , Shalbaf Neda , Farahi Amirhosein , Kamalzadeh Leila 
Published: October 2024

Abstract

Background: This case report describes a unique presentation of sphingosine-1-phosphate lyase insufficiency syndrome (SPLIS) caused by a rare SGPL1 variant, highlighting the diagnostic and management challenges associated with this condition.
Case Presentation: A 2-year-old Iranian female presented with steroid-resistant nephrotic syndrome (NS), primary adrenal insufficiency (AI), growth delay, seizures, and hyperpigmentation. Laboratory evaluation revealed hypoalbuminemia, significant proteinuria, hyperkalemia, and elevated adrenocorticotropic hormone (ACTH) levels. The patient was diagnosed with SPLIS through genetic testing, revealing a c.1018C>T variant in SGPL1. Despite supportive treatment, including corticosteroids and cyclosporine, the patient’s condition deteriorated, leading to end-stage renal disease and sepsis, ultimately resulting in death.
Conclusions: This case underscores the clinical heterogeneity of SPLIS and the importance of early genetic evaluation in patients with combined NS and AI. Personalized management approaches and increased awareness among clinicians are essential to improve patient outcomes.
Salary satisfaction of acute critical care nurses in Hunan Province: a mixed study
Authors: Chunying Wang , Jiang Weihan , Ma Shuning , Liu Chenxi , Ye Zufeng , Wen Xiang , Chen Li 
Published: October 2024

Abstract

Aim:Salary satisfaction of acute and critical care nurses are of great significance to turnover rate and career development. The purpose of this study was to investigate the intrinsic motivation and salary satisfaction of acute critical care nurses.
Design:A mixed study.
Methods:A total of 300 acute and critical nurses from 6 public Grade Three hospitals in Hunan Province from January to April 2024 were selected by convenience sampling method for questionnaire collection. Ten acute and critical nurses were selected as the research objects in semi-structured interview.
Results: Three themes emerged in the interview. The main influencing factor of one theme was salary, while workload and transparency appeared in the other two themes. The statistical analysis found that there was a positive correlation between salary satisfaction and intrinsic motivation of acute critical nurses, and improving intrinsic motivation of acute critical nurses had a positive impact on salary satisfaction.
Conclusion: Pay is an important factor affecting the turnover of acute and critical nurses, and hospitals need to improve it. The enhancement of nurses' intrinsic motivation has a positive impact on salary satisfaction.
Impact:This paper provides some reference for hospitals to consider reducing nurses' turnover intention.
public contribution:Nurses from 6 public top-three hospitals in Hunan Province participated in the questionnaire collection.
Density Functional Study of Physisorption of H 2 Molecules on Scandium and Yttrium Decorated C 20 Fullerene: Prospect for Hydrogen Storage
Authors: Praveer Nishant , Sahoo Rakesh K. , Sahu Sridhar 
Published: October 2024

Abstract

This work reports the findings of a study on the reversible hydrogen storage capacities of Sc and Y decorated C20 fullerene, conducted using dispersion corrected density functional theory (DFT) calculation. The transition metal (TM) atoms, such as Sc and Y, are identified to attach to the C-C bridge position of the C20 fullerene through non-covalent closed-shell interactions. This suggests that the interaction between the TM atoms and the fullerene occurs via weak van der Waals forces rather than stronger covalent bonds. And the thermodynamic stability of the decorated fullerene structures is assessed using various methods, including the examination of HOMO-LUMO gaps and different reactivity descriptors. These analysis help confirm that the decorated structures are stable under the given conditions, enhancing their suitability for hydrogen storage applications. Each Sc and Y atom attached to the C20 fullerene is capable of absorbing a maximum of 6 and 7 hydrogen molecules, respectively. This results in practical gravimetric densities of up to 4.0 wt% and 4.04 wt% at a temperature of 300K and a pressure of 60 bar. These findings highlight the significant hydrogen storage capacities of the decorated fullerene structures, indicating their potential for practical use in hydrogen storage systems. The average adsorption energy of H2 molecules are found lying in the range of 0.332eV-0.276eV implying the adsorption process to be physisorptive. Overall, the study provides valuable insights into the hydrogen storage capabilities of Sc and Y decorated C20 fullerene complexes, offering a promising avenue for the development of efficient and reversible hydrogen storage materials for clean energy applications.