bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversified Teaching Strategies for Ethnic Instrumental Music Courses in Colleges and Universities in the Information Age
Authors: Shi Wei
Published: May 2024

The information age is an era of innovation. Instructional design and development tools make it easier and faster for teachers to organize teaching content; instructional evaluation tools make it more scientific and objective for teachers to evaluate teaching effects; and student management tools pay attention to individual differences of students and realize diversified evaluation perspectives for students. On the basis of the MIDI dataset, signal separation information filtering and other related operations are used to preprocess ethnic instrumental music signals, followed by the construction of an automatic composition model using deep learning technology. Based on the diversified teaching needs of ethnic instrumental music courses in colleges and universities, an instrumental music teaching system was designed by using the automatic composition model and computer programming language, and an empirical analysis of the informatization teaching of ethnic instrumental music courses in colleges and universities was carried out by using experimental comparative analysis. The results show that the overall level of ethnic music in the experimental group improved significantly P<0.05, indicating that the students in the experimental group made significant progress in ethnic music literacy. In contrast, the students in the control group improved but did not highlight, indicating that the proposed teaching system has a facilitating effect on the enhancement of the teaching performance of ethnic instrumental music courses. This study improves the teaching quality of ethnic instrumental music courses in colleges and universities and is of great significance in enhancing students’ music literacy and skills.
Prospects and Obstacles on the Path of Chinese’s Rise as a Global Language in the Context of the Internet
Authors: Xiang Qian
Published: May 2024

In this paper, the video retrieval technique based on model migration makes full use of the migration learning technique to build a text encoder and video encoder to obtain text and video features. The text is preprocessed based on the BERT model, and text features are extracted by combining TF-IDF and mutual information. The logistic regression algorithm is applied to achieve text classification. The text mining techniques above are used to parse YouTube Chinese learning resources to extract their dissemination features. The results show that 5,286 (61.48%) of YouTube Chinese learning resources are from the category of “education,” and 2,294 (26.68%) are from the category of “people and blogs.” The video resources category is the most popular and loved category among learners due to its highest average number of views (1238214.3). The dissemination is significantly impacted by teachers’ performance, vivid language, and interaction during the teaching process. The indirect effect value test between online interaction, technical support, and resource quality, as well as satisfaction and intention to continue using, met the criterion of significance (p<0.05). It indicates that perceived usefulness has a significant indirect effect (P<0.01) on the impact of knowledge dissemination. This study clarifies the dissemination influences that led to the rise of Chinese resources in the global context.
Adaptation analysis of enterprise education in higher education institution based on digital technology in the context of rural revitalization
Authors: Wei Wanying
Published: May 2024

Rural revitalization and digital enterprise education in higher education institutions complement each other digital enterprise education in higher education institution. This study examines the coupling degree between rural revitalization and digital enterprise education development to reflect the adaptability of digital enterprise education in higher education institutions under rural revitalization. Using an integrated assignment technique developed using the genetic algorithm, the weight of each indication in the system of indicators of rural revival and enterprise growth in education is computed, yielding the weight value for every metric in the system. Examine the coordination or relationship between them using the degree of coupling coordination algorithm next. The number of graduates of digital company education in higher education institutions rose gradually with the implementation of rural revitalization and business ownership policies, reaching 184 by 2023, according to an analysis of the stage of development of the program in X colleges and universities. The correlation between enterprise education and rural revitalization will reach 0.860832 by 2023, indicating that there is still room for improvement in the adaptability of enterprise education. The analysis results of this paper point out the reference direction for the development of digital enterprise education in higher education institutions, and the proposed optimization strategy of enterprise education’s adaptability provides a reference basis for the improvement of adaptability.
Design and Application of Virtual Simulation Teaching System under Artificial Intelligence Orientation
Authors: Yue Kun
Published: May 2024

This paper builds a virtual simulation teaching system based on the Unity simulation platform, which contains a network connection module, resource loading module, and so on. Using the combination of natural interaction and virtual simulation teaching system, the design of Kinect depth information and SVM classifier for gesture recognition classification is integrated with the virtual simulation teaching scene to realize cross-platform collaborative interaction. The virtual simulation teaching process involves a large number of gesture interaction processes, using mf-score multi-feature selection of features that play a vital role in the classification of the data set, eliminating the raw noise of the customized gesture data and improving the contrast of the gesture image. The results of the practical application of the virtual simulation teaching system show that the discipline to which the virtual simulation course belongs (0.008) and the time of identification (0.047) have a significant effect on its application activity. The multisensory, immersive, and interactive nature of virtual simulation teaching (P < 0.001) all have a highly significant positive effect on learners’ foreign language useability. The foreign language assessment score at the end of the virtual simulation course is (92.74±3.32), which is significantly different from the traditional teaching method (P<0.01). The teaching system in this paper meets the requirements of most learners in terms of interactive interface, function, and content.
A Constructive and Empirical Study of Individualized Teaching Quality Evaluation for College English Teachers
Authors: Zhu Ting
Published: May 2024

With the rapid development of society and the rapid change of software technology, the original teaching content and teaching mode of college English can no longer meet the learning needs of college students, so how to improve the quality of personalized teaching in the classroom of college English teachers is of great significance to improve the teaching level and other aspects. The article uses the idea of variable power to obtain personalized features, and through the Apriori algorithm, through data mining, so that students can choose courses suitable for themselves while using hierarchical analysis to evaluate and analyze the personalized teaching of English classroom in a university, in addition, using structural equation model to seek for factors affecting the personalized teaching of college English, and then improve the quality of English teaching. After normalization, we get E
2 = [0.305 0.463 0.166 0.069], which means that the students’ comprehensive judgment of the personalized teaching quality assessment system of English teachers in the university is good. Finally, through the construction of structural equation modeling, the correlation coefficients between “teaching responsibility,” “teaching level,” and “teaching method” are all above 0.9. Their C.R. values are all greater than 1.96, indicating that the students have good judgment on the personalized teaching quality assessment system of the English teachers in the school. Because the C.R. values are all above 1,96, the correlation between the three factors and teaching quality is more significant.
Research on optimal allocation scheme of power system energy storage under large-scale new energy access
Authors: Wang Tianlin , Xu Liang , Hu Shizhao , Dong Jiadu , Jiang Haoxia
Published: May 2024

Renewable distributed power sources such as wind power and photovoltaic power generation are connected to the power grid, which will bring problems such as increased network loss and reduced power quality. In this paper, a two-layer optimization model for energy storage systems is proposed under large-scale new energy access, and the coupling effects of energy storage planning and operation are considered comprehensively. In the upper layer model, energy storage planning is considered, with the location and capacity of energy storage configuration being the decision variables and the planning cost of the energy storage system being the objective function. The lower layer considers the economy and stability of the grid when the energy storage system is operating, with the output of the energy storage system at each moment as the decision variable and the grid vulnerability, active network loss, and power purchase cost as the objective function. The improved IEEE33 node system has been selected for simulation verification. The results show that the proposed model calculates the optimal capacity configurations of wind power combined energy storage as 0.919 and 0.820 MWh, respectively, and the model can obtain a reasonable energy storage configuration scheme and, in comparing the economic indicators under different scenarios, can obtain the dual storage configuration as the best scheme for the simulation system.
Construction of an intelligent optimization model for water resource allocation under drought conditions
Authors: Fu Jian , Yang Yongchong
Published: May 2024

In this paper, we first establish the model of optimal allocation of water resources within the region and convert it into a dynamic planning problem. Then, under drought conditions, the models of optimal allocation of intra-regional water resources among industries and different crops are established, respectively, and the water production function model is established using sensitivity coefficients. Under the condition of satisfying the water quantity opportunity constraints and with the objective of ensuring obtaining a higher system return, the water resources optimal allocation model based on interval multi-stage stochastic opportunity constraint planning is established by combining multi-stage planning, interval planning and stochastic opportunity constraint planning. A hybrid intelligent algorithm combining stochastic simulation, multilayer neural networks, and genetic algorithms is used to solve the model. A case study of optimal water resource allocation is used to verify the feasibility and validity of the proposed model and algorithm. Under the traditional water resource allocation scheme, the total water supply and water shortage of Nandan County are 0.97 and 0.58 billion m3, and the water shortage rate is 37.55%. Under the optimized water resources allocation scheme of this paper, the water shortage of Nandan County is 0.05 billion m³, and the water shortage rate is 6.09%. The model of this paper’s allocation scheme can effectively meet the water demand.
Semiotic Interpretation of Literary Metaphors in Henry James’ Psychological Fiction under the Semantic Association Network Modeling
Authors: Huang Li
Published: May 2024

Henry James enriched the representation of realism with the aesthetic practice of psychological realism theory, and his literary metaphors revealed the colorfulness of the human consciousness field. In this paper, under the background of semiotics, based on two algorithms, Semantic Association Network, Associative Component Analysis, and Dependent Syntax, we constructed a tensor representation model of literary text, extracted the symbolic information of sentences in the scholarly text, and combined the information of textual words through the association coefficients for the tensor representation of sentence metaphors. Quantitatively calculating the metaphoric semantics in the extracted literary sentences is followed by labeling and recognition of the literary sentences based on the metaphoric information. Take Henry James’, the Aristocats as an example and interpret the symbolic information in it using the model constructed in this paper. The symbolic scene of the “garden” in the novel represents the meaning of innocence and simplicity, which has the highest conceptual similarity enhancement of 3.415. Most of the emotions behind the readers’ evaluations of Henry James’s novels have positive metaphors, and the favorable rating range is mainly concentrated in the range of 0-100. In Henry James’s novels, the emotional metaphor of “repression” is more characteristic than other metaphors, with a maximum of 1.896. This paper investigates the interpretation of metaphors in Henry James’s novels, which can assist in the comprehension of the books.
Research on Knowledge Service Mechanism in Social Reading Platform Based on Social Network Recommendation Algorithm
Authors: Ji Dawei
Published: May 2024

Combining the user model and similarity calculation, a personalized recommendation method based on the user preference model is proposed, and the user model is adjusted to update the overall framework of personalized recommendation of user reading preference in response to the user’s operational behaviors such as collecting, commenting, reading, and annotating. We analyze and organize the knowledge service interface structure of the social reading platform and the knowledge service mechanism model based on users’ cognitive, emotional, and social needs and clarify the whole process of satisfying users’ reading needs. According to the age, occupation, and regional characteristics of the users of the social reading platform, as well as the reading interest labels of the users, we explore the influence of different user behaviors on the personalized recommendation results of the social reading platform and the recommendation website, and the more the optimal value of the parameter tends to be 1, the greater the influence of the social reading platform on the recommendation results. The satisfaction index of the social reading platform is 68.50807. The current social reading is not good enough to meet the needs of users. It should be optimized for reading behavior, reading skills, reading knowledge, and reading environment for knowledge service recommendation, respectively.
A Study of Teaching Strategies Optimized with the Integration of Artificial Intelligence Technologies
Authors: Cong Shan
Published: May 2024

The integration of artificial intelligence and education is a general trend, and it has become necessary to utilize artificial intelligence for teaching. This study takes the application of artificial intelligence technology in teaching strategy as the starting point, constructs an intelligent classroom model for recognizing students’ faces and emotions, and better understands their learning state. The method first carries out emotion recognition based on a support vector machine, then realizes the fusion of the decision layer through a posteriori probability, completes the construction of a multimodal emotion recognition model, and finally applies the PAD scale to quantify the emotion and analyze the emotion and state of the sample students in various stages of the classroom. The artificial intelligence teaching strategy that integrates multimodal emotion recognition is constructed and its application effectiveness is examined. More than 60% of the students were in a calm state in the 10 minutes before and after the class, and 78% of the students were in a positive learning mood in the 25 minutes of the class, so the multimodal emotion recognition model has a good effect of recognizing students’ emotions. After the teaching practice is carried out, the student’s performance in the experimental class is 12.29% higher than that in the control class. The learning stability is better, reflecting the superiority of the teaching strategy in this paper. This study can provide a reference for the teaching of the classroom of the future integration of artificial intelligence technology.
Research on the construction of digital village evaluation model based on AHP-entropy TOPSIS method
Authors: Zhai Yuqin
Published: May 2024

The swift advancement of cutting-edge information technology is reshaping the global economic landscape and industrial structures. Emerging from this backdrop, the concept of digital village construction has surfaced as a strategic cornerstone and a priority in the drive for rural revitalization. This study uses Nanjing City as a case study to develop an evaluation system for digital village construction. It incorporates five key dimensions: information infrastructure, digital economy, intelligent green village, digital governance, and digital lifestyle. By applying the Analytical Hierarchy Process (AHP) and entropy value method for weight assignment, this paper constructs a TOPSIS comprehensive evaluation model to analyze the progress in digital village development over recent years. The results of the study show that the use of a comprehensive assignment method to calculate the weight of the indicators results in the use of hierarchical analysis of the value of the indicator weight interval of [0.0118, 0.1166], entropy weight method derived from the weight of the indicators of the interval of [0.0308, 0.0875], the combination of the weight of the interval of [0.0292, 0.0944], the combination of the weight of the more scientific and reasonable. The comprehensive evaluation score of the digital village construction level in the sample city shows a gradual increase from 2019 to 2023, and the comprehensive evaluation scores of digital village construction in 2021 and 2022 are 0.475 and 0.745. This study shows that with the development of rural revitalization strategies, the level of digital village construction tends to increase.
Analysis of Executive Compensation Management Strategies of Multinational Enterprises in the Context of RMB Internationalization
Authors: Chen Mei
Published: May 2024

This paper applies the EVA-based bonus incentive model and the EVA-based stock option incentive model to the executive compensation incentive system of multinational enterprise D and calculates the EVA amount by combining the profitability of multinational enterprise D and compares it with the net profit amount of the enterprise to obtain the difference between the two. In order to further investigate the relationship between the EVA amount and the net profit of multinational enterprises, the correlation hypothesis between executive compensation and the management of accrued surplus and the management of actual surplus is carried out, respectively. The countermeasures for the management of executive compensation in multinational enterprises under the background of the internationalization of the RMB are proposed according to the establishment of the research hypothesis. Executive compensation and accrued surplus management are negatively correlated, as shown by regression analysis, and an increase in the former will have a significant inhibitory impact on accrued surplus management behavior. There is a positive correlation between executive compensation and natural surplus management, and the significance level is 5%. This means that the increase in executive compensation has a promotion effect on natural surplus management.
Relational Analysis of College English Vocabulary - A Reflection Based on Semantic Association Network Modeling
Authors: Dai Bojun
Published: May 2024

Vocabulary is an essential and crucial part of college English learning. However, the lack of knowledge about the intrinsic connection between words has become a significant obstacle to vocabulary learning and teaching. In this study, we use a semantic association network to construct a relationship model between English words and introduce a tree kernel function into the syntactic analyzer to extract relationships between English words. The dictionary-based lexical semantic similarity calculation method is combined with a corpus-based English lexical semantic similarity calculation method for the extracted relations. Furthermore, the study creates datasets that relate to English vocabulary for simulation experiments. The results show that the more common sense phenomena there are, the higher the correlation value is. Furthermore, the similarity of university English vocabulary has a high degree of correlation with the type of specialized elements. The overall performance of the lexicon is ranked as synonym forest (0.431ρ/0.479r) > HowNet (0.249ρ/0.341r) > English WordNet (−0.051ρ/−0.003r), and the synonym forest method has the best performance, with the highest accuracy of 85.57% in classifying different lexical relations. The study offers valuable references and lessons for related research in natural language processing.
Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--The Perspective of Tourism Talent Resources
Authors: Zhou Wenzhe
Published: May 2024

This paper conducts a comprehensive analysis of the types of tourism resources in ethnic regions and develops a framework for tourism supply-side reform in these areas, emphasizing the role of tourism talent resources. Utilizing the BCC and Malmquist models of Data Envelopment Analysis (DEA), this study measures the technical efficiency, pure technical efficiency, scale efficiency, and total factor productivity of selected ethnic regions from 2006 to 2015. Employing panel data, the study examines the current status and trends of human resources and tourism economic growth, using regression analysis and the Granger causality test to investigate their relationship. The findings reveal a strong correlation coefficient of 0.93 between the number of tourism employees and tourism economic growth in Ethnic Group A over the study period. The regression significance level is 0.000, indicating a probability less than 0.05, which confirms a positive correlation between the level of tourism human resources and regional tourism supply-side reforms that enhance collective wealth. This research contributes a novel perspective to the discourse on high-quality tourism development and regional economic growth.
Research on the design of virtual experience of shadow play based on digital technology and immersive interactive design theory
Authors: Li Enze , Xie Xiaowan
Published: May 2024

With the industrialization and urbanization of modern society as well as the diversified development of entertainment forms, the inheritance of shadow puppetry as a folk art is facing great challenges. Based on this, this paper uses modern digital technology to help traditional shadow play quickly realize digital transformation and adapt to the current era. The YOLOv5 model is used to recognize the body movements of a person manipulating shadow puppets in virtual space, monitor the interaction status between the person and the virtual shadow puppet characters in virtual space, and at the same time, use the loss function to calculate and categorize the data loss in the recognition process. In order to avoid the data loss caused by the action moving too fast or the light, this paper introduces the Kalman filter algorithm to recover the lost and incoherent actions. It thus constructs the interaction recognition model based on the Kalman filter to improve YOLO. After conducting experiments in this paper, it was found that the model built in this paper has an accuracy of 94% in recognition of unobstructed actions, and it takes 1.31 seconds to recognize them. For occluded actions, the recognition accuracy rate is 86%. Overall, the recognition interaction model constructed in this paper maintains a recognition accuracy rate of more than 85% for actions. In the experiment on processing virtual shadow play characters, the average generation time of the virtual models of any shadow play character is no more than 0.5 seconds. The model constructed in this paper has a superior performance in action recognition and virtual shadow play character processing.
Application of Internet of Things technology in teaching management system optimization
Authors: Wang Zebin , Xu Gang , Wang Yunge
Published: May 2024

With the progress of science and technology and the in-depth development of the Internet, the technology of the Internet of Things has gradually penetrated every corner of our lives. The Internet of Things greatly improves the efficiency of data acquisition and processing through the interconnection and exchange of information between devices. The development of information and intelligence in physical education teaching management has received a lot of attention as an important component of the education field. The grey relational Internet of Things model is used in this article to optimize the application of sports management. On this basis, this article conducts a systematic testing and analysis of physical education teaching. By verifying and analyzing the effectiveness and correctness of the model, real-time data during the teaching process was obtained, such as student movement trajectories, exercise intensity, etc. Providing data support for optimizing the teaching process.
An investigation on the application of exercise biomechanics in competitive wushu routine training
Authors: Guo Xikui , Choosakul Chairat , Wu Runping
Published: May 2024

Combining the athletes’ wushu jumping action data from the perspective of sports biomechanics, forming a finite element model based on finite element analysis of the landing speed of wushu jumping action on the landing stability correction finite element model, solving the different heights, can not be difficult to land the PvGRF of the wushu action, the use of kinematics sensitive indexes to diagnose the difficulty of competitive wushu sets of action. Measure the movement data of wushu athletes’ spinning foot 720° catching horse stance movement, and analyze the swing changes and rotational angular velocities of various body segments in the assisted jumping phase and the aerial movement phase. A core stability training method was proposed and tested during a 12-week training period, and an index test of balance was conducted. The results of the balance index test of the wushu athletes showed that after the core stability training, the static right foot standing index was 179.55±196.35, which formed a significant difference with the pre-training period, P<0.05. The combination of core stability and sports biomechanics can improve the completion of difficult movements in the movement training of competitive wushu athletes.
Methodological Innovation Path of Ideological and Political Education Content in Colleges and Universities in the Age of Artificial Intelligence
Authors: Zhang Xinbing , Qin Beichen
Published: May 2024

Under the background of the continuous development of modern curriculum as well as the continuous innovation of educational methods, the content and methods of ideological and political education in colleges and universities are also continuously innovated. This paper extracts the features of massive Civic and political knowledge points and combines them with active learning methods to construct the relationship between the prerequisites of Civic and political knowledge points, and then introduces the cognitive diagnostic model to design the cognitive diagnostic model based on the requirements of Civic and political knowledge points. Accurate and rich auxiliary information, such as students’ mental state, is provided for Civics teaching, and a Civics education model is designed based on this model. Finally, the teaching model is applied to actual teaching to verify its effectiveness. The results show that after completing the teaching practice, the students in the experimental class scored in “political identity,” “professionalism,” “public participation,” and “sound personality.” Sound personality” are all above 22. Compared with the control class, there are significant differences in all dimensions except “sound personality” (P<0.05). A cognitive diagnosis-based civic education model can significantly improve students’ level of civic education.
Research on Dental Chairside Scanning and Diagnostic System Based on Artificial Intelligence and Deep Learning
Authors: Bai Junling , Ma Hongchao , Shao Yuanxia , Shang Juan
Published: May 2024

The scanning technology and diagnosis and treatment system of dental chairs play a better auxiliary role in the level of oral diagnosis and treatment as well as the doctor’s therapeutic effect. In this paper, we design an oral chairside scanning and diagnosis and treatment system, which includes two modules for scanning, acquiring, and managing oral image information. Taking CBCT as the main technology, the steps of image reconstruction, generation, estimation of tooth main axis, and reconstruction of independent tooth contour are carried out sequentially to obtain the three-dimensional network model of teeth. Through the dental clinic information management system, the case base is effectively managed to enhance operational efficiency. The system presented in this paper is tested and applied to analyze its effects during usage. The results show that the maximum difference between the measurement of this system and the manual measurement is not more than 1mm. The mean values of the errors of the system designed in this paper in the angular error and apical error are 3.547±1.556mm and 1.154±0.265mm, respectively. The P-value is less than or equal to 0.05, which is significant, and the system performs very well in these two aspects.
Focus on musculoskeletal health in women with bleeding disorders
Authors: Dougall Alison , Frenzel Laurent
Published: May 2024

Maintaining good musculoskeletal health, including good oral health, is as important for women with bleeding disorders (WBD) as it is for men. Many people with bleeding disorders ignore bleeding from their gums, believing it to be part of their condition. However, it may be a sign of periodontal disease, which left untreated can lead to accelerated tooth loss and infection, adversely affecting overall health. A good diet and access to good dental care from childhood are important to maintaining good oral health in WBD. Joint bleeding and degeneration are not limited to people with more severe forms of haemophilia; joint-related diagnoses have been shown to be twice as common among haemophilia carriers and women with mild haemophilia than in the general population. Women with type 3 von Willebrand disease experience comparable joint outcomes to younger intensively treated patients with severe haemophilia. Neither gum nor joint bleeds should ever be considered normal, as both can be treated to avoid progressive disease. Dental and joint specialists and physiotherapists should work closely with haemophilia teams to ensure optimal care for long-term preservation of musculoskeletal health.
Designing ATHN 7: Safety, effectiveness and practice of treatment of people with haemophilia in the United States through a natural history cohort study
Authors: Buckner Tyler W. , Daoud Nabil , Miles Moses , O'Neill Carrie , Watson Crystal , Recht Michael
Published: May 2024

Background

Haemophilia A and B are X-linked inherited bleeding disorders, resulting in the deficiency of clotting factor VIII and IX, respectively. Since the introduction of recombinant clotting factor concentrates in the early 1990s, the major safety concern for haemophilia therapy has been the development of inhibitory antibodies, or inhibitors. Over the recent past, new therapies for the treatment and prevention of bleeding have received regulatory approval or are under study.

Objective

‘ATHN 7: A Natural History Cohort Study of the Safety, Effectiveess, and Practice of Treatment for People with Hemophilia is designed to determine the safety of current haemophilia therapies when used for participants with haemophilia with or without inhibitors. Secondarily, ATHN 7 will describe the real-world effectiveness of current therapies by assessing bleeding rate and location, therapy utilisation, adherence, and patient-reported outcomes.

Methods

This longitudinal, observational cohort study by the American Thrombosis and Hemostasis Network (ATHN) will follow participants with haemophilia with or without inhibitors for four years from the time of enrolment. Each participant is assessed every three months. All data are collected into ATHN Systems. The primary outcome measure is the incidence of safety events as defined by the European Haemophilia Safety Surveillance (EUHASS) programme. Effectiveness will be described based on annualised bleeding rate, therapy utilisation, adherence, and patient-reported outcomes.

Conclusion

As the first product-agnostic, real-world study of haemophilia therapy in the United States, ATHN 7 collects data to determine current intervention safety and effectiveness. Based on this success, ATHN will continue to collect these data longitudinally through the ATHN Transcends study.
Living, Caring, Learning – The treatment centre as family for a woman with severe haemophilia
Authors: Bashari Dalia
Published: May 2024

A nurse at Israel’s National Hemophilia Center for over 35 years, Dalia reflects on lifelong relationships with patients and the ‘family approach’ to care in the context of her experience of caring for a woman with severe haemophilia A. Having cared for the patient since she was a young child, Dalia describes the difficulties she has faced and the importance of ongoing conversations about her life in shaping her care, including risks around pregnancy and having a child. The patient went on to have a son by caesarean section, covered by factor VIII and tranexamic acid; her son was diagnosed with severe haemophilia A at birth and Dalia now sees them both in clinic. The patient also contributes her view on the importance of the close therapeutic relationships she has with Dalia. While acknowledging the importance of setting boundaries, Dalia reflects on the role of the haemophilia centre as an extension of the patient’s family and the nurse as a ‘mother’ figure. She feels the centre’s family approach is reflected not only in the care team’s knowledge of their patients but also through close and effective working relationships between staff, built on experience sharing, discussion and mutual support. Dalia believes it is this combination that has made her centre so successful in its involvement in clinical trials.
Living, Caring, Learning - Changing mindsets and enabling goals for people with haemophilia
Authors: Cruickshank Anne-Louise
Published: May 2024

In a nursing career spanning almost five decades, Anne Louise has spent over 30 years caring for people with haemophilia in South Africa. She reflects on the importance of prophylaxis and how tailoring treatment to meet individual needs not only helps to prevent bleeds but can make goals and aspirations attainable. Describing her experience of how she supported a young man with severe haemophilia in achieving his ambition to become a paramedic, Anne-Louise demonstrates the importance of the nurse-patient relationship and the role of the nurse in providing individualised care. She discusses advocating for prophylaxis and the need to change mindsets, and highlights the need for further change in access to treatments for haemophilia in South Africa. The patient also describes his journey to achieving the level of fitness he needed to undertake the entrance exam to train as paramedic.
System change in practice: A report from the EHC Think Tank workstreams on Registries and Patient Agency
Authors: Gacser Zita , Skouw-Rasmussen Naja
Published: May 2024

Introduction

System change addresses the fundamental causes of persistent, complex problems to achieve large-scale, sustainable solutions at multiple levels. Recognising the need for system change to ensure equitable access to healthcare for people with bleeding disorders and other rare diseases, the European Haemophilia Consortium (EHC) established a Think Tank to work alongside its traditional advocacy initiatives. The Think Tank has mobilised a broad range of healthcare stakeholders to identify challenges and co-create potential solutions through a series of thematic workstreams exploring specific aspects of the healthcare system. This paper reports on outcomes and learnings from the Registries and Patient Agency workstreams.

Methodology/Process

During a series of online meetings and face-to-face discussions, workstream stakeholders contributed to a three-phase process: 1. Discovery; 2. Strategy; 3. Innovation. Having identified key challenges to system change for Registries and Patient Agency, stakeholders mapped the system in which they were working to refine the challenges, recognise enablers and constraints to progress, and use leverage points to co-create strategies for change.

Results

The Registries workstream prioritised actions to address challenges around lack of common purpose and data quality, and agreed to move forward with developing a consensus statement to facilitate buy-in from key stakeholders, working on good governance for registries, hosting a network for registry owners, and creating a model for patient data input and feedback. A Registries Roadmap was completed for 2025 and 2030, and a project initiated to align registries in Europe. The Patient Agency workstream agreed actions should focus on challenges related to the role of the patient, recognising the need to elevate patient influence in all aspects of the healthcare system. Actions aimed to address the current stakeholder hierarchy and gaps in patient health literacy, and to optimise the potential of digital tools to enable patient contributions to patient-reported outcome and experience measures (PROMs and PREMs). Projects include developing a patient agency guidebook and a patient experience data (PED) dossier on von Willebrand disease, to provide a one-stop repository for regulators, researchers, clinicians and patients.

Conclusions

There is a clear need for system change to ensure equitable access to healthcare for people with rare diseases such as bleeding disorders. Bringing together multiple stakeholders with different and complementary knowledge and approaches has facilitated the development of innovative strategies for system change in relation to Registries and Patient Agency. Work has started on pilot projects to move these strategies forward.
A Multivariate Performance Analysis of the Plastics Manufacturers: Comparative Analysis of European Regions
Authors: Niftiyev Ibrahim , David Delia , Iordan Marioara , Horga Petru
Published: May 2024

This study evaluates the economic performance of plastics manufacturers in European regions (e.g., Western, Southern, Central and Eastern Europe, and the Baltic States) between 2017 and 2020 based on data from 3,372 companies using multivariate correspondence analysis (MCA) and Welch’s test. They were analyzed according to the indicators of profitability, sales (or turnover), employment, and total assets. The results of MCA show that Central and Eastern European companies are absolute leaders in terms of profitability. While Southern European companies have the highest total assets, their sales and profitability are lower compared to other regions. We found that Western European companies lead in terms of turnover and that the Baltic region is roughly on par with Central and Eastern European countries in terms of profitability and employment. These differences were also tested using the pairwise Welch’s test, which revealed highly statistically significant differences, especially in turnover and total assets. The results also show that profitability levels are similar regardless of company size, while sales and total assets are significantly different across European regions. These findings on plastics manufacturers in different European regions are crucial to help policymakers and industry leaders make informed decisions to address economic performance, investment and environmental concerns, and to develop sustainable solutions for the plastics industry.
Clustering Corporate Governance and Leadership. A Bibliometric Analysis
Authors: Țîmbalari Carolina , Neagoe Barbu Aida Lavinia , Cristian Mihai-Gabriel
Published: May 2024

Recently, researchers worldwide have shown a significant interest in bibliometric analysis, and it has proved to be a useful and valuable tool for aggregating data on our research. Our paper aims to explore bibliometric analysis in the framework of two critical aspects of organizational management and decision-making: corporate governance and leadership. To achieve this objective, 930 articles from Elsevier’s Scopus were analyzed, utilizing VOSviewer as a bibliometric tool. Furthermore, our research not only sheds light on the current state of scholarship in these fields, but also serves as a basis for future studies aiming to deepen our understanding of how corporate governance and leadership intersect and influence organizational success and sustainability.
Environmental Goods and Services: Developments of the Concept, the Economic Sector, and the Markets
Authors: Vrublevska Olena
Published: May 2024

Green (environmental) marketing, which promotes cleaner, less detrimental products, is considered to be one of the main contributors to sustainable production and consumption. With the latest EU policy initiatives aimed at acceleration of green transition, it deserves even more attention while the concept of environmental goods and services still remains a subject for discussion, and both comparative environmental impact of some of such products and the green demand probably are overestimated. The studies offer an approach to the theoretical concept of environmental goods and services providing the integrated vision through the prism of the ecological economics, national accounting, and marketing with the initial point of green (environmental) needs. To understand full potential of marketing for environmental sustainability, which is of growing importance, the studies address the sole purpose environmental products also as those which are beyond the green marketing efforts, but playing the equally important role. Production of environmental goods and services by the EU economy is analysed with special attention to groups of products by their primary purpose, and conclusions are drawn regarding the sustainability potential of different fields of marketing.
Strategy For Increasing Community Welfare With Business Successrural Society
Authors: Yuesti Anik , Suardhika Nengah , Swandewi Putu Ayu Meidha , Ituriaga Christian Angelo Barretto
Published: May 2024

Objectives: Significant business success will have a direct impact on community welfare. Rural economic organizations are crucial yet often weak points in strengthening the rural economy. BUMDes (Village-Owned Enterprises) are designed to consolidate or strengthen village economic institutions. This research aims to analyze the influence of business capital and marketing strategies on community welfare, with business success serving as an intervening variable.
 
Methods: Data for this research was collected using a questionnaire instrument. The analysis was conducted using the Structural Equation Modeling - SEM PLS analysis technique. This approach allows for the examination of complex relationships between variables, specifically how business capital and marketing strategies affect community welfare through business success.
 
Results: The research results show that business capital and marketing strategies positively impact business success. Additionally, both business capital and marketing strategies positively influence public welfare. Furthermore, business success itself has a positive effect on public welfare. The study also finds that business success serves as an indirect mediating variable, enhancing the effect of venture capital and marketing strategies on public welfare.
 
Conclusion: The study concludes that business capital and marketing strategies are crucial for achieving business success, which in turn positively impacts community welfare. Business success acts as a significant intermediary, amplifying the positive effects of both venture capital and marketing strategies on the well-being of the community. This underscores the importance of investing in effective business strategies and sufficient capital to foster sustainable economic growth and improve public welfare.
Adoption of Accrual Accounting in the Brazilian Public Sector: a Case Study in Light of Regulation Theory
Authors: Santos Luciana Braga dos , Nunes André , Abreu Lucijane Monteiro de , Pantoja Maria Júlia
Published: May 2024

Objective: To identify existing gaps in the adoption of full accrual accounting in the public sector, with a focus on analyzing the financial statements of the Ministry of Defense (MD), and to investigate the application of accrual accounting in the public sector, considering its complex regulations.
 
Theoretical Framework: For the analyses, the theoretical foundation is based on the theory of regulation applicable to accounting regimes in the public sector.
 
Methodology: The research, using the Ministry of Defense (MD) as a case study, adopted a multifaceted methodological approach, including a case study, literature review, and documentary analysis. Data sources included books, dissertations, scientific articles, and legislation. Documentary analysis focused on the MD's Financial Statements, accessed through the government portal, covering the years 2018 to 2022. The research also employed content analysis techniques, following the methodology suggested by Sampaio and Lycarião (2021), to evaluate the content of the information in relation to the established objectives.
 
Results and Conclusions: The research identified that there is already partial adherence of the public sector to international standards, as the cash basis is still observed for revenues, and areas for improvement were noted, such as the adoption of the Statement of Comprehensive Income in the context of the public sector.
 
Research Implications: It was observed that regulatory changes are important instruments for influencing the accountability processes of the public sector.
 
Originality/Value: The research emphasizes the partial adoption of international public accounting standards and suggests further discussions and analysis to achieve complete adherence, confirming a gap between the implementation of standards and their practical application.