bluuebunny/crossref_metadata_2025 huggingface dataset:
Key Factors Influencing Leadership Effectiveness in Diverse Workplaces in Fuzhou City, Fujian Province, China
Authors: Traiwannakij Surachai , Chen Yaosheng
Published: November 2024

he cultural and economic landscape of Fuzhou City in Fujian Province, China, is rich and diverse. Management effectiveness and emotional intelligence in diverse workplaces in Fuzhou City, Fujian Province, China, have been the subject of related research. The significance of emotional intelligence in fostering a productive workplace is a hot topic, as it allows individuals to recognize, understand, and manage their own emotions and those of others (Kargeti, 2023). Additionally, leadership effectiveness is influenced by emotional intelligence dimensions such as self-awareness, self-regulation, motivation, empathy, and social skills (Tian, 2022). Therefore, this study aims to investigate the factors influencing Leadership Effectiveness based on 5 aspects: Demographic Factors, Emotional Intelligence, Cultural Diversity in Organization, Communication Strategies, and Leadership Styles. The quantitative method is applied. Descriptive statistics such as frequency, percent frequency, the arithmetic mean, and the standard deviation are used to analyze the data collected from questionnaires. Suitable Inferential Statistical Methods are used to test the hypothesis, particularly the Independent Samples t-test, the One-way ANOVA, and the Multiple linear Regression Analysis. The results obtained from the study indicate that differences in Marital Status, Age, Educational Level, Monthly Income, and Working Experiences generate differences in Leadership Effectiveness. Based on the Multiple Linear Regression Analysis, all aspects of Emotional Intelligence (Self-awareness, Self-regulation, Motivation, Empathy, and Social Skills), Cultural Diversity in Organization (Diversity, Equity, Inclusion, and Belonging), Communication Strategies (Awareness and Understanding, Communication Quality, Accessibility, and Employee Engagement), and Leadership Styles (Decision-making Leadership Styles, Everyday Leadership Styles, Beyond Everyday-work Leadership Styles, Values-based Leadership Styles) are found out to have a positive impact on Leadership Effectiveness.
The Urgency of Free Trade Agreements (FTA) and Digital Platforms for MSMEs in Realizing a Sustainable Digital Economy
Authors: Khoiri Irsyad , Mahfuzah Annisa , Noval Muhammad
Published: November 2024

Free Trade Areas (FTAs) offer significant opportunities for Micro, Small and Medium Enterprises (MSMEs) by providing access to international markets without tariff barriers. However, MSMEs often face challenges such as limited understanding of FTA regulations and difficulties in accessing global markets. This article discusses the need to develop a global digital marketplace platform specifically designed for MSMEs with FTA integration to address these challenges. The study uses a qualitative approach, analyzing relevant journals and articles to identify the needs of MSMEs and how digital platforms can support them in maximizing the benefits of FTAs. The discussion aims to provide solutions to market access limitations and information barriers, contributing to the growth and innovation of MSMEs towards a more inclusive and sustainable digital economy.
Organizational Performance Improvement Strategies Through the Implementation of Balanced Scorecard at KPPN Jakarta VII
Authors: Hidayat Efa Khafifa , Purnama Rahmad
Published: November 2024

KPPN Jakarta VII is a vertical agency under the Regional Office of the Directorate General of Treasury of DKI Jakarta Province, Directorate General of Treasury, Ministry of Finance which has the task of carrying out the authority as the State General Treasurer, distributing financing at the expense of the budget, and administering budget receipts and expenditures through and from the state treasury based on statutory regulations. In carrying out the tasks and objectives of the organization, KPPN Jakarta VII carries out performance management based on a balanced scorecard. Balanced scorecard is a strategic management system that guides leaders and members of the organization to translate the vision, mission, and strategy of the organization into real measurable actions. Organizational performance is measured so that it can reflect the achievement of organizational goals. This is very important as part of the implementation of good governance. This paper provides an overview of the implementation of the balanced scorecard at KPPN Jakarta VII as a tool in managing organizational performance. The method used is descriptive qualitative with primary data in the form of performance improvement strategies and organizational performance achievements. As a result, the consistent and continuously improved implementation of the balanced scorecard results in an increased organizational performance score of KPPN Jakarta VII and encourages the creation of service innovations as a form of adaptive organization.
The Impact of Village Fund Allocation on the Economy of Lhokseumawe City
Authors: Syahtama Muhammad Ozan , Purnama Rahmad
Published: November 2024

This study aims to investigate the impact of Village Fund allocation on the economy of Lhokseumawe City, Aceh Province, Indonesia. Using both quantitative and qualitative approaches, this research analyzes trends in Village Fund allocation over the past few years through secondary data, and conducts in-depth interviews with relevant stakeholders, such as local government officials, community leaders, and local entrepreneurs. The results of the study indicate that the Village Fund has made a significant contribution to local economic growth, including increasing people's purchasing power, creating new job opportunities, and stimulating investment in certain economic sectors. The Village Fund also promotes the development of basic infrastructure such as roads, irrigation systems, and healthcare facilities, which enhance accessibility and the quality of life for the community. However, this research also identifies challenges in the management and utilization of the Village Fund, such as issues of transparency, accountability, and the sustainability of fund usage. Policy recommendations are needed to improve the effectiveness of Village Fund allocation and ensure its benefits are equitably distributed among all residents of Lhokseumawe City.
Assessment of Job Satisfaction
Authors: Macopa-Guro Mirnife L.
Published: November 2024

The research focused on assessing job satisfaction among contractual faculty members in higher education institutions, utilizing Herzberg's Two-Factor Theory as a framework. Contractual faculty members often hired temporarily, face unique challenges and conditions that can significantly impact their job satisfaction and overall engagement. Herzberg's theory distinguishes between motivators, intrinsic factors related to the job itself, and hygiene factors, which are irrelevant conditions surrounding the job. This study explores both factors to assess their effects on the job satisfaction of contractual faculty members.Quantitative approach is applied to capture relevant results of contractual faculty members' job satisfaction. The survey measured various motivators, including intrinsic and extrinsic factors. Findings indicate that while improvements in hygiene factors like salary and job security are essential for reducing dissatisfaction, they alone are insufficient to foster high levels of job satisfaction. Motivators, such as opportunities for meaningful work and professional development, are crucial in enhancing overall job satisfaction. This research provides valuable insights for higher education administrators and policymakers aiming to improve contractual faculty members' working conditions and experiences. By addressing motivators and hygiene factors, institutions can establish a more motivating and supportive work environment, ultimately benefiting faculty and students.
Uncovering the Key Factors Behind the Decline in SAKIP Performance: A Case Study of BPS Kabupaten Bantul
Authors: Putri Eka Dayana , Suryani Pesi
Published: November 2024

This study aims to analyze the causes behind the decline in the performance evaluation of the Government Performance Accountability System (SAKIP) at the Central Statistics Agency (BPS) of Bantul Regency in 2023. The research adopts a qualitative approach with data collection methods including interviews, observations, and documentation. Interviews were conducted with five informants who are employees of BPS Bantul Regency. The findings indicate that the decline in SAKIP performance evaluation is attributed to several key factors: changes in evaluation criteria according to the latest regulations, a lack of human resources (HR) knowledge regarding SAKIP implementation, low organizational commitment, suboptimal dissemination of SAKIP guidelines, minimal guidance from the Government Internal Supervisory Apparatus (APIP), and inadequate management of performance planning and reporting documents. The implications of these findings are expected to provide constructive recommendations and inputs for improving and enhancing SAKIP implementation at BPS Bantul Regency, thereby supporting the enhancement of accountability and performance in government agencies.
Raw Material Management Strategy in The Production Process of Tos-Tos Tortilla Chips (Case Study at PT Dua Kelinci)
Authors: Husna Ahmad Ega Fatihul , Kurniawan Siswandaru
Published: November 2024

PT Dua Kelinci is a company based in Pati that operates in the food industry. The purpose of this study is to analyze the raw material management strategy in the production process within PT Dua Kelinci’s Tos-tos Tortilla Chips division. The focus of this study is the role of the production supervisor in managing raw materials and ensuring efficient processes. This study employed a qualitative descriptive method, utilizing primary data collected through interviews. The data was then analyzed through data reduction, data presentation, and conclusion drawing. The findings of the study indicate that PT Dua Kelinci implements its raw material management strategy by (1) following a production process in accordance with work guidelines that outline monthly food orders, (2) recording input and output materials for accurate tracking, and (3) sourcing materials based on the quantity and variety of food orders, ensuring timely procurement of required flavors. This approach ensures a smooth production process, helps maintain product quality, and fulfills customer demands. Efficient management of raw materials not only reduces the likelihood of production delays but also ensures operational stability and cost control. The study concludes that strategic raw material management is essential for sustaining production efficiency and product quality at PT Dua Kelinci.
The Use of Blockchain Technology in Improving the Reliability and Security of Accounting Information Systems: Impacts and Challenges
Authors: Qolby Alifia Jasmine , Dwirini Dwirini
Published: November 2024

The use of blockchain technology in the context of Accounting Information Systems (SIA) has become an important topic in the academic and industry literature. By leveraging blockchain, the Triple Entry Accounting System application can improve information transparency and reliability while reducing fraud in business, improving audit efficiency, and improving data protection. This study aims to analyze the impacts and challenges associated with the implementation of blockchain technology in improving the reliability and security of accounting information systems. The research method used in this scientific paper is a type of qualitative method through the Systematic Literature Review (SLR) study. The results of this analysis show that the use of blockchain technology has a significant impact on the reliability and security of accounting information systems. Blockchain allows financial transactions to be recorded transparently, immutable, and trustworthy automatically through network consensus. However, there are several challenges that need to be addressed in implementing this technology, including scalability issues, high transaction fees, complex regulations, and a lack of understanding and awareness of blockchain technology among accounting practitioners. The reason for the choice of the title is that blockchain technology in Accounting Information Systems is not only relevant, interesting, and offers great opportunities, but also has the potential to make a significant contribution to the field of industry practice.
The Influence of Labor Expenses on Current Year Profit of PT Bank Rakyat Indonesia Tbk 2003-2022
Authors: Kusumaningrum Fitri Rochmawati , Utami Indah Setia
Published: November 2024

This study aims to analyze the impact of Labor expenses on the annual net income of PT BRI (Bank Rakyat Indonesia, Tbk) from 2003 to 2022. Quantitative methods are the core of the scientific rigor of this study. Library and document-based methods are used to collect data. Financial statements serve as secondary sources of information. Data processing methods based on linear regression analysis are used to test the financial statements of PT BRI Tbk for 2003-2022 with a focus on labor cost and profit data. According to the findings of the study, PT BRI Tbk's current year profit is positively and significantly affected by Labor expenses. Based on the data provided, we can conclude that this is the case because t-count = 6.6072> t-table = 1.734 and 0.00 0.05 or sig 0.05 is statistically significant.
Digital Advanced Financial Accounting Learning Analysis
Authors: Pujiandriani Riza Meri , Dwirini Dwirini
Published: November 2024

Advanced Financial Accounting learning is classified as a learning whose material is quite dense and complicated because there is a calculation of accounting financial data and requires a deeper understanding. Therefore, in learning Advanced Financial Accounting, it is not only necessary to have material delivered from within the classroom, but also to deepen the material from various other sources or applications supported by digital technology. This study aims to find out whether the use of digital technology in advanced financial accounting learning can increase the effectiveness of student learning. The method used in this study is a qualitative descriptive method with data collection techniques using questionnaires and interviews. The research involved 8th semester Open University students from UPBJJ-UT Semarang (Salut Cempaka Pati), Faculty of Economics, Accounting Study Program who took the Advanced Financial Accounting course with the name of Accounting 8 class as many as 29 students and 1 lecturer in the Advanced Financial Accounting course. The results of this study show that the use of digital technology can increase the effectiveness of student learning which can be seen from several aspects such as the frequent use of digital technology, the growth of learning motivation from students in learning Advanced Financial Accounting, the ease of using digital technology, and increasing student understanding in the development of Advanced Financial Accounting materials.
Comparison of Disclosure Levels of GRI Standards on Companies Listed on the IDX (Case Study Energy and Financial Sector)
Authors: Fadillah Reynaldi Alif , Norhamida Hana
Published: November 2024

Sustainability Reports are a hot topic among investors, company management and other stakeholders. With the mandatory sustainability reporting by OJK, the need for Sustainability Reports increases. This research aims to determine the level of disclosure of GRI Standards in Sustainability Reports in companies in the energy sector and financial sector of the Indonesia Stock Exchange. The content analysis method was used in this research to assess the content of sustainability reports from 53 selected companies on the Indonesia Stock Exchange for the 2022 period. The results of the analysis revealed that the level of disclosure of GRI Standards in energy sector companies was higher than in financial sector companies. Apart from that, in this research it is also known that the industry in which the company operates also influences the topics most frequently disclosed in the Sustainability Report.
The Influence of Audit Opinions and BPK Audit Findings on Performance North Sumatra High Prosecutor's Office
Authors: Damanik Vivi Hardiyanti Sakinah , Widiastuti Yeni
Published: November 2024

Accountability and transparency of financial management of government agencies are the main focus, especially in the context of the role of the Audit Board of Indonesia (BPK) as a supervisor and examiner of state finances. This study analyzes the influence of BPK audit opinions and findings on the performance of the North Sumatra High Prosecutor's Office in managing state finances. This descriptive qualitative study uses primary data collected directly from the North Sumatra High Prosecutor's Office through interviews and observations. The focus of the study is the role of BPK in improving the performance of the North Sumatra High Prosecutor's Office. The results of the study indicate that BPK audit opinions and findings have a positive influence on the performance of the North Sumatra High Prosecutor's Office. This study is expected to contribute to understanding the relationship between audit opinions, BPK findings, and the performance of the North Sumatra High Prosecutor's Office.
Anais do III Colóquio da Pós-Graduação do IF Goiano - Campus Urutaí
Authors: Dias Herbert Júnior , Gonçalves Janine Mesquisa , Silva Anderson Rodrigo da
Published: November 2024

O III CoPU – Colóquio da Pós-Graduação do IF Goiano – Campus Urutaí teve por objetivo reunir e estabelecer debates e reflexões entre pesquisadores nacionais e internacionais relacionados a pós-graduação profissional no Brasil, a interação com o setor produtivo, a pesquisa aplicada, a inovação e a produção de produtos técnicos e tecnológicos. São utilizadas como pano de fundo as ações promovidas pelos Programas de Pós-Graduação do IF Goiano, em especial os três PPGs Profissionais sediados no Campus Urutaí, a saber: PPG em Proteção de Plantas (PPGPP), PPG em Conservação de Recursos Naturais do Cerrado (PPG-CRENAC), e o PPG em Ensino para a Educação Básica (PPG-ENEB). Coordenadores de PPGs, consultores e avaliadores da CAPES participam efetivamente das atividades do CoPU.
Unraveling heterogeneity and treatment of asthma through integrating multi-omics data
Authors: Zhang Wei , Zhang Yu , Li Lifei , Chen Rongchang , Shi Fei
Published: November 2024

Asthma has become one of the most serious chronic respiratory diseases threatening people's lives worldwide. The pathogenesis of asthma is complex and driven by numerous cells and their interactions, which contribute to its genetic and phenotypic heterogeneity. The clinical characteristic is insufficient for the precision of patient classification and therapies; thus, a combination of the functional or pathophysiological mechanism and clinical phenotype proposes a new concept called “asthma endophenotype” representing various patient subtypes defined by distinct pathophysiological mechanisms. High-throughput omics approaches including genomics, epigenomics, transcriptomics, proteomics, metabolomics and microbiome enable us to investigate the pathogenetic heterogeneity of diverse endophenotypes and the underlying mechanisms from different angles. In this review, we provide a comprehensive overview of the roles of diverse cell types in the pathophysiology and heterogeneity of asthma and present a current perspective on their contribution into the bidirectional interaction between airway inflammation and airway remodeling. We next discussed how integrated analysis of multi-omics data via machine learning can systematically characterize the molecular and biological profiles of genetic heterogeneity of asthma phenotype. The current application of multi-omics approaches on patient stratification and therapies will be described. Integrating multi-omics and clinical data will provide more insights into the key pathogenic mechanism in asthma heterogeneity and reshape the strategies for asthma management and treatment.
Supramolecular systems and their connection with metal–organic structures
Authors: Cué-Sampedro Rodrigo , Sánchez-Fernández José Antonio
Published: November 2024

Supramolecular structures with specific applications are a pillar in several areas of science. Thus, from a contemporary point of view, there are several reasons to embrace a systematic order of the supramolecular concept itself. First, the structuring of a supramolecular material seems safer now than it did decades ago. Second, the interactions of metal–organic frameworks (MOFs) and supramolecular chemistry and, conversely, supramolecularity to assemble MOFs and create efficient complex systems in multiple cutting-edge applications are an image to be safeguarded. Third, perhaps we should simply limit ourselves to considering how researchers in these fields have attempted to correlate the notion of supramolecular systems by linking self-assembly considerations. In any case, these topics present advantages to optimize innovative geometries that are useful to highlight significant practical applications. This review covers a general introduction to MOFs and supramolecularity, the key unit of the study presented here, followed by a survey of recent advances in confined space chemistry, the relationships of MOFs with supramolecular structures, and the synthesis electrochemistry of MOFs and switchable MOFs to obtain a greater understanding of structure–property relationships. To conclude, some future perspectives on this promising and plausible field of science will be mentioned.
Carborane-based BODIPY dyes: synthesis, structural analysis, photophysics and applications
Authors: Ordóñez-Hernández Javier , Planas José Giner , Núñez Rosario
Published: November 2024

Icosahedral boron clusters-based BODIPY dyes represent a cutting-edge class of compounds that merge the unique properties of boron clusters with the exceptional fluorescence characteristics of BODIPY dyes. These kinds of molecules have garnered substantial interest due to their potential applications across various fields, mainly including optoelectronics, bioimaging, and potential use as boron carriers for Boron Neutron Capture Therapy (BNCT). Carborane clusters are known for their exceptional stability, rigid geometry, and 3D-aromaticity, while BODIPY dyes are renowned for their strong absorption, high fluorescence quantum yields, and photostability. The integration of carborane into BODIPY structures leverages the stability and versatility of carboranes while enhancing the photophysical properties of BODIPY-based fluorophores. This review explores the synthesis and structural diversity of boron clusters-based BODIPY dyes, highlighting how carborane incorporation can lead to significant changes in the electronic and optical properties of the dyes. We discuss the enhanced photophysical characteristics, such as red-shifted absorption and emission poperties, charge and electronic transfer effects, and improved cellular uptake, resulting from carborane substitution. The review also delves into the diverse applications of these compounds. In bioimaging, carborane-BODIPY dyes offer superior fluorescence properties and cellular internalization, making them ideal for cell tracking. In photodynamic therapy, (PDT) these dyes can act as potent photosensitizers capable of generating reactive oxygen species (ROS) for targeted cancer treatment making them excellent candidates for PDT. Additionally, their unique electronic properties make them suitable candidates for optoelectronic applications, including organic light-emitting diodes (OLEDs) and sensors. Overall, carborane-BODIPY dyes represent a versatile and promising class of materials with significant potential for innovation in scientific and technological applications. This review aims to provide a comprehensive overview of the current state of research on carborane-BODIPY dyes, highlighting their synthesis, properties, and broad application spectrum.
Potential of conservation agriculture practice in climate change adaptation and mitigation in Ethiopia: a review
Authors: Hailu Leta , Teka Wondimagn
Published: November 2024

Land degradation is a major problem in Ethiopia, as it contributes to climate change by releasing greenhouse gases (GHG) and slowing carbon sequestration rates. The objective of this review was to assess the role of conservation agriculture (CA) in climate change adaptation and mitigation in Ethiopia. The critical review method processes for identifying and synthesizing peer-reviewed research and review articles, reports, proceedings, and book chapters were followed, with materials obtained from relevant search engines. The findings of the various reports revealed that minimum tillage assists in soil moisture conservation when compared to conventional tillage. Conservation tillage maintains crop residue, reduces soil temperature significantly, and increases nutrient buildup in the surface soil layer, all of which lead to higher crop growth and production thus help as adaptation to climate change. Furthermore, agriculture and other land uses significantly contribute to greenhouse gas emissions; nevertheless, conservation agricultural methods improve soil organic carbon (SOC), soil aggregation, and carbon in aggregate, as well as soil health that contribute to climate changing mitigation. Several studies found that soil health indicators such as soil aggregation, soil organic carbon storage, soil enzymes, and microbial biomass improved under conservation tillage practices, potentially improving the carbon-nitrogen cycle, soil stability, and overall crop productivity. In terms of climate adaptation and mitigation, CA is one of the non-substitutable choices for reducing greenhouse gas emissions. Crop diversity, increased nitrogen consumption efficiency, crop rotation, improved soil carbon sequestration methods; crop residue retention, minimum soil disturbance, manure incorporation, and integrated farming systems are all important factors in minimizing GHG emissions. Moreover, factors impeding CA adoption include a lack of appropriate equipment and machinery, weed control methods, the use of crop residue for fuel wood and animal feed, a lack of awareness about the benefits of CA on soil health and sustainability, and a lack of government technical and financial support for smallholder farmers. Adoption and scaling up of CA practices are critical for ensuring a sustainable development goal and resilient future. Thus, relevant stakeholders should consider the aforementioned considerations while promoting the technology on a large scale through integration with enhanced technology.
Lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation: a mediation Mendelian randomization study
Authors: Ou Guangyang , Zhang Yi , Cai Huzhi , Yao Kunpeng , Qiu Zerui , Chen Yaowu , Yang Yang , Chen Qingyang , Chen Xinyu
Published: November 2024

Background

Previous studies have shown an association between lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation (AF), but the specific effects of lipid-lowering drugs on AF and whether they can be mediated by circulating inflammatory factors remain unclear.

Methods

We collected 10 genetic variants encoding lipid-lowering drug targets (LDLR, HMGCR, PCSK9, NPC1L1, APOB, APOB, ABCG5, ABCG8, LPL, APOC3, and PPARA) and AF based on genome-wide association study (GWAS) summary statistics. Drug target Mendelian randomization (MR) was used to explore the causal relationship between lipid-lowering drugs and AF. In addition, we performed a mediation analysis of 91 circulating inflammatory factors to explore potential mediators. Sensitivity analyses were performed to verify the reliability of the MR Results by MR-Egger intercept test, Cochran's Q test and leave-one-out test.

Results

The results of IVW method showed that LPL agonist had a protective effect on AF(OR = 0. 854, 95%CI: 0.816–0.894, P = 1.844E-11). However, the other nine lipid-lowering drug targets had no significant effect on AF. Notably, we found a mediator role of Fibroblast Growth Factor 5 (FGF5) in the protective effect of LPL agonist on AF with a mediator ratio of 9.22%. Sensitivity analyses supported the robustness of our findings, indicating a possible mediating pathway by which LPL agonists affect the risk of AF.

Conclusion

Our study provides new insights into the complex interactions among lipid-lowering agents, circulating inflammatory factors and AF, and also identified a potential mediating role of FGF5 in the pathogenesis of AF. Our findings highlight the potential of LPL agonists and targeting specific inflammatory factors for therapeutic intervention in AF, providing promising avenues for future research and clinical strategies for the management and prevention of AF.
The neo-aortic valve in patients with hypoplastic left heart syndrome is largely preserved: a serial follow-up CMR study
Authors: Burleigh Abigail , Gabbert Dominik Daniel , Ide Yujiro , Voges Inga
Published: November 2024

Background

In hypoplastic left heart syndrome (HLHS) patients, neo-aortic valve regurgitation can negatively impact right ventricular (RV) function. We assessed neo-aortic valve function and RV volumetric parameters by analysing serial cardiovascular magnetic resonance (CMR) studies in HLHS patients after completion of total cavopulmonary connection (TCPC).

Methods

Consecutive CMR examinations of 80 patients (female: 22) with two (n = 80) or three (n = 45) examinations each were retrospectively analysed. RV volumetry was performed using short-axis cine images. RV end-diastolic and end-systolic volumes normalised to body surface area (BSA, RVEDVi, RVESVi), ejection fraction (RVEF) and stroke volume (RVSV) were measured. Neo-aortic flow, regurgitant fraction (RF) and peak velocity were quantified from phase-contrast cine images.

Results

Median neo-aortic regurgitation was mild at all three examinations (RF <20%) and there was no significant increase in RF over time (p > 0.05). None of the patients had significant neo-aortic valve stenosis (peak velocity >3 m/s). RF correlated with RVESVi and RVEF at the second examination. At the third examination, RF correlated with RVESVi and RVEDVi even in patients with RF <15% (RVESVi: r = 0.40, p = 0.001; RVEDVi: r = 0.34, p = 0.031).

Conclusion

Assessment of serial CMR studies in HLHS patients after TCPC completion demonstrates a preserved neo-aortic valve function. Nevertheless, thorough follow-up is mandatory as even mild neo-aortic dysfunction might impact RV size and function over a longer term.
Cybermycelium: a reference architecture for domain-driven distributed big data systems
Authors: Ataei Pouya
Published: November 2024

Introduction

The ubiquity of digital devices, the infrastructure of today, and the ever-increasing proliferation of digital products have dawned a new era, the era of big data (BD). This era began when the volume, variety, and velocity of data overwhelmed traditional systems that used to analyze and store that data. This precipitated a new class of software systems, namely, BD systems. Whereas BD systems provide a competitive advantage to businesses, many have failed to harness the power of them. It has been estimated that only 20% of companies have successfully implemented a BD project.

Methods

This study aims to facilitate BD system development by introducing Cybermycelium, a domain-driven decentralized BD reference architecture (RA). The artifact was developed following the guidelines of empirically grounded RAs and evaluated through implementation in a real-world scenario using the Architecture Tradeoff Analysis Method (ATAM).

Results

The evaluation revealed that Cybermycelium successfully addressed key architectural qualities: performance (achieving <1,000 ms response times), availability (through event brokers and circuit breaking), and modifiability (enabling rapid service deployment and configuration). The prototype demonstrated effective handling of data processing, scalability challenges, and domain-specific requirements in a large-scale international company setting.

Discussion

The results highlight important architectural trade-offs between event backbone implementation and service mesh design. While the domain-driven distributed approach improved scalability and maintainability compared to traditional monolithic architectures, it requires significant technical expertise for implementation. This contribution advances the field by providing a validated reference architecture that addresses the challenges of adopting BD in modern enterprises.
Recent developments in mobile-assisted vocabulary learning: a mini review of published studies focusing on digital flashcards
Authors: Teymouri Reza
Published: November 2024

This mini review provides a concise overview of recent developments in mobile-assisted vocabulary learning (MAVL) and compares its effectiveness to traditional methods in English as a Foreign Language (EFL) settings. The review synthesizes findings from recent empirical studies, highlighting how MAVL, particularly digital flashcards, promotes learner autonomy, engagement, and long-term vocabulary retention through features like spaced repetition and gamification. Traditional methods such as paper flashcards, while effective in structured classroom settings, lack the interactive and personalized benefits of MAVL. The review also discusses existing research gaps, including the need for further investigation into productive vocabulary use and long-term retention. Future developments in the field may include hybrid approaches that combine the strengths of both traditional and digital methods. This review aims to provide language teachers and researchers with an up-to-date understanding of MAVL and its potential to enhance EFL vocabulary acquisition.
Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network
Authors: Tsou Peiling , Wu Chang-Jiun
Published: November 2024

Background

Informative biomarkers play a vital role in guiding clinical decisions regarding management of cancers. We have previously demonstrated the potential of a deep convolutional neural network (CNN) for predicting cancer driver gene mutations from expert-curated histopathologic images in papillary thyroid carcinomas (PTCs). Recognizing the importance of whole slide image (WSI) analysis for clinical application, we aimed to develop an automated image preprocessing workflow that uses WSI inputs to categorize PTCs based on driver mutations.

Methods

Histopathology slides from The Cancer Genome Atlas (TCGA) repository were utilized for diagnostic purposes. These slides underwent an automated tile extraction and preprocessing pipeline to ensure analysis-ready quality. Next, the extracted image tiles were utilized to train a deep learning CNN model, specifically Google’s Inception v3, for the classification of PTCs. The model was trained to distinguish between different groups based on BRAFV600E or RAS mutations.

Results

The newly developed pipeline performed equally well as the expert-curated image classifier. The best model achieved Area Under the Curve (AUC) values of 0.86 (ranging from 0.847 to 0.872) for validation and 0.865 (ranging from 0.854 to 0.876) for the final testing subsets. Notably, it accurately predicted 90% of tumors in the validation set and 84.2% in the final testing set. Furthermore, the performance of our new classifier showed a strong correlation with the expert-curated classifier (Spearman rho = 0.726, p = 5.28 e-08), and correlated with the molecular expression-based classifier, BRS (BRAF-RAS scores) (Spearman rho = 0.418, p = 1.92e-13).

Conclusions

Utilizing WSIs, we implemented an automated workflow with deep CNN model that accurately classifies driver mutations in PTCs.
Optimization of emergency frequency control strategy for power systems considering both source and load uncertainties
Authors: Zhang Shi , Ren Shao Yi , Zhang Bo , Feng Jiang Zhe , Zhang Xin Gang , Wu Yi Chao , Sun Li Xia
Published: November 2024

With the increasing integration of renewable energy sources and the presence of numerous controllable loads such as electric vehicles and energy storage in the modern power system, higher nonlinearities and uncertainty both sources and loads are introduced. These factors pose challenges in achieving fast and accurate emergency frequency control. Therefore, this paper addresses the issue of dual source-load uncertainties in power system and presents an optimization strategy based on the Soft Actor Critic (SAC) algorithm that involves the participation of controllable loads in emergency frequency control. Firstly, the spatio-temporal uncertainties of wind farm power output on power supply side and power demand on the load side are described using Weibull and normal probability distributions, respectively. Secondly, an improved Markov Decision Process (MDP) model for emergency frequency control is established, which considers the characteristics of the dual source-load uncertainties. Finally, an optimization of the SAC algorithm is conducted based on Deep Reinforcement Learning (DRL), aiming to achieve rapid system frequency recovery and minimize the cost of removing controllable loads. The presented approach in the paper enhances the emergency frequency control strategy for uncertain power systems and effectively addresses the issue of source-load uncertainty compounded by fault power shortages.
Misincorporations of amino acids in p53 in human cells at artificially constructed termination codons in the presence of the aminoglycoside Gentamicin
Authors: Pawlicka Kamila , Henek Tomas , Uhrik Lukas , Hernychova Lenka , Padariya Monikaben , Faktor Jakub , Makowiec Sławomir , Vojtesek Borivoj , Goodlett David , Hupp Ted , Kalathiya Umesh
Published: November 2024

Readthrough of a translation termination codon is regulated by ribosomal A site recognition and insertion of near-cognate tRNAs. Small molecules exist that mediate incorporation of amino acids at the stop codon and production of full-length, often functional protein but defining the actual amino acid that is incorporated remains a challenging area. Herein, we report on the development a human cell model that can be used to determine whether rules can be developed using mass spectrometry that define the type of amino acid that is placed at a premature termination codon (PTC) during readthrough mediated by an aminoglycoside. The first PTC we analyzed contained the relatively common cancer-associated termination signal at codon 213 in the p53 gene. Despite of identifying a tryptic peptide with the incorporation of an R at codon 213 in the presence of the aminoglycoside, there were no other tryptic peptides detected across codon 213 that could be recovered; hence we constructed a more robust artificial PTC model. P53 expression plasmids were developed that incorporate a string of single synthetic TGA (opal) stop codons at S127P128A129 within the relatively abundant tryptic p53 peptide 121-SVTCTYSPALNK-132. The treatment of cells stably expressing the p53-TGA129 mutation, treated with Gentamicin, followed by immunoprecipitation and trypsinization of p53, resulted in the identification R, W, or C within the tryptic peptide at codon-TGA129; as expected based on the two-base pairing of the respective anticodons in the tRNA to UGA, with R being the most abundant. By contrast, incorporating the amber or ochre premature stop codons, TAA129 or TAG129 resulted in the incorporation of a Y or Q amino acid, again as expected based on the two base pairings to the anticodons, with Q being the most abundant. A reproducible non-canonical readthrough termination codon-skip event at the extreme C-terminus at codon 436 in the SBP-p53 fusion protein was detected which provided a novel assay for non-canonical readthrough at an extreme C-terminal PTC. The incorporation of amino acids at codons 127, 128, or 129 generally result in a p53 protein that is predicted to be ‘unfolded’ or inactive as defined by molecular dynamic simulations presumably because the production of mixed wild-type p53 and mutant oligomers are known to be inactive through dominant negative effects of the mutation. The data highlight the need to not only produce novel small molecules that can readthrough PTCs or C-terminal termination codons, but also the need to design methods to insert the required amino acid at the position that could result in a ‘wild-type’ functional protein.
Monoclonal antibodies targeting type 2 inflammation in eosinophil-associated diseases during pregnancy: insights from two eosinophilic granulomatosis with polyangiitis cases and a comprehensive literature review
Authors: Davanzo Federica , Iorio Luca , Calligaro Antonia , Doria Andrea , Padoan Roberto
Published: November 2024

Background

With the widespread availability of monoclonal antibodies targeting type 2 inflammation, managing pregnancies in patients with eosinophil-associated diseases, including eosinophilic granulomatosis with polyangiitis (EGPA), has become a crucial issue.

Methods

Starting from a two-case series of patients with EGPA, safely treated with anti-interleukin (IL)5/IL5R monoclonal antibodies during pregnancy, we conducted a comprehensive literature review to identify cases reporting the use of monoclonal antibodies for treating EGPA and other eosinophil-associated diseases in pregnant women.

Results

We present two cases of patients with ANCA-negative EGPA. The first case involves a 35-year-old patient with benralizumab, resulting in successful disease control and a healthy pregnancy despite a history of miscarriage and gestational diabetes. The second case describes a 35-year-old woman who continued mepolizumab during pregnancy, leading to a healthy infant despite two prior early miscarriages. A literature review of 22 papers, covering 97 patients using biologics during pregnancy found no reports specific to EGPA but documented safe outcomes with monoclonal antibodies like mepolizumab, benralizumab, and dupilumab in other eosinophil-associated disorders. These biologics were effective in managing symptoms and reducing the need for oral glucocorticoids, with no observed teratogenic effects. However, complications such as gestational diabetes and preterm births were noted, particularly with dupilumab. No adverse events or pregnancy complications directly attributable to the biological therapy were reported.

Conclusions

Uncontrolled disease during pregnancy significantly threatens pregnancy viability, while the use of monoclonal antibodies effectively manages maternal disease, reduces glucocorticoid use, and helps prevent complications, even though more data are needed to establish risks and benefits.
Effects of integrated blood purification on haemodynamics and oxygen metabolism in children with severe sepsis
Authors: Ma Hekai , Wang Zhiyuan , Geng Jiahao , Zhao Junlin , Wang Tuanjie , Liu Ling , Xu Yuping , Liu Weiqing , Wang Min , Zhao Lan , Li Shujun
Published: November 2024

Objective

To investigate the effects of integrated blood purification on haemodynamics and oxygen metabolism in children with severe sepsis.

Methods

Clinical data of 12 children with severe sepsis admitted to the pediatric intensive care unit of our hospital between October 2021 and June 2022 were retrospectively analyzed. All patients were treated with integrated blood purification, and changes in haemodynamic parameters, including heart rate, blood pressure, mean arterial pressure and cardiac output, and oxygen metabolism parameters (blood lactic acid, oxygen delivery, oxygen consumption and oxygen extraction rate) were observed before and after treatment.

Results

The heart rate (134[106,160] vs 111[101,128], p = 0.037), central venous pressure (9[7,10] vs 8[7,9], p = 0.04), stroke output (28[18,43] vs 21[15,31], p = 0.01), blood lactate (3.3[2,4] vs 2.5[1.3,3.6], p = 0.015), oxygen consumption (165.99[121.44,230.31] vs 124.18[82.51,162.86], p = 0.041) and oxygen extraction rate (38.83[31.87,44.62] vs 28.67[21.05,32.72], p = 0.019) were decreased, whereas systolic blood pressure (97[83,104] vs 107[94,116], p = 0.033) and central venous oxygen pressure (32[29, 37] vs 39[34,46], p = 0.005) were increased in the children after treatment compared with before treatment. There were no statistically significant differences in diastolic blood pressure, mean arterial pressure, cardiac output, arterial oxygen pressure and oxygen delivery before and after treatment (all p > 0.05).

Conclusion

Integrated blood purification can improve haemodynamic and oxygen metabolism parameters in children with severe sepsis, with a high value in clinical application.
Decoding the interplay of medical professionalism, mental well-being, and coping in undergraduate medical students across culture: using structural equation modeling
Authors: Sattar Kamran , Meo Sultan Ayoub , Yusoff Muhamad Saiful Bahri
Published: November 2024

Introduction

The rigorous nature of medical education, long and night shifts, and prevalent issues like stress, anxiety, and depression affect medical students’ mental well-being and medical professionalism. This study aims to explore the intricate relationships between mental well-being, medical professionalism, and coping strategies, among undergraduate medical students, utilizing structural equation modeling (SEM) to unravel these dynamics.

Methods

Conducted at Universiti Sains Malaysia, this cross-sectional study involved 234 medical students from the 1st, 3rd, and 5th years of the MBBS program. Data were collected via five validated survey instruments: DASS-9, TEQ, Dundee, Brief COPE, and CBI, through Google Forms. Participants were selected using purposive sampling. The surveys assessed mental well-being (burnout, anxiety, depression, stress), coping strategies, and medical professionalism attributes. Model fit was evaluated using established indices.

Results

Findings indicated that professional behavior reduces burnout and negatively impacts negative coping strategies (NCSs). Additionally, medical professionalism indirectly enhances empathy and positively influences CSs. Conversely, psychological distress increases NCSs and reduces empathy. Positive coping strategies (PCSs) enhance empathy levels, while MWB issues elevate NCSs.

Discussion

The study underscores the vital role of professional behavior in mitigating burnout and fostering positive coping mechanisms among medical students. Addressing MWB issues through targeted interventions can enhance empathy and professional behavior, ultimately improving the quality of patient care.
Regulation of ferroptosis in osteoarthritis and osteoarthritic chondrocytes by typical MicroRNAs in chondrocytes
Authors: Yu Qingyuan , Xiao Yanan , Guan Mengqi , Zhou Guohui , Zhang Xianshuai , Yu Jianan , Han Mingze , Yang Wei , Wang Yan , Li Zhenhua
Published: November 2024

Osteoarthritis (OA) is a progressive degenerative disorder impacting bones and joints, worsened by chronic inflammation, immune dysregulation, mechanical stress, metabolic disturbances, and various other contributing factors. The complex interplay of cartilage damage, loss, and impaired repair mechanisms remains a critical and formidable aspect of OA pathogenesis. At the genetic level, multiple genes have been implicated in the modulation of chondrocyte metabolism, displaying both promotive and inhibitory roles. Recent research has increasingly focused on the influence of non-coding RNAs in the regulation of distinct cell types within bone tissue in OA. In particular, an expanding body of evidence highlights the regulatory roles of microRNAs in OA chondrocytes. This review aims to consolidate the most relevant microRNAs associated with OA chondrocytes, as identified in recent studies, and to elucidate their involvement in chondrocyte metabolic processes and ferroptosis. Furthermore, this study explores the complex regulatory interactions between long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in OA, with an emphasis on microRNA-mediated mechanisms. Finally, critical gaps in the current research are identified, offering strategic insights to advance the understanding of OA pathophysiology and guide therapeutic developments in this field.