Advantage Of Resources Research Articles

Migrants Subjective Well-being in Big Cities of China: Based on Self-rating Social Status and Social Integration

Promoting subject well-being of migrants could give full play to the advantages of talent's resource. Social position and social inclusion of migrants could be the key to pursue a people-centered, new type of urbanization and bring about rural migrants settling in cities. There is a lack of studies focusing on social comparison and social inclusion of migrants with the point of geographical features. Using the data collected from China Migrants Dynamic Survey in 2014, the relations among object socioeconomic status and self-rating social status as well as subject well-being of migrants in one municipal district and seven prefecture-level cities of China was examined by adopting multilevel linear regression model, which includes both mediating variables and moderating variables. Several conclusions are drawn as follows: 1) Migrants subjective well-being is affected by their objective socioeconomic status. Whilst migrants comparing themselves with local relatives and colleagues, as we call it self-rating social status, plays a part in mediating relations between object socioeconomic status and subject well-being, especially when the object socioeconomic status refers to migrants household monthly income, certain types of occupations (including civil servants, clerks and the self-rated) and homeowners in the host city. 2) When compared their socioeconomic status with locals in the host cities, including economic status and respect for themselves, the deeper the migrants are merging into cities and social networks, the weaker the relationship between self-rating social status and subjective well-being will be. In other words, social inclusion among migrants do negatively regulates the relations above. 3) However, there is no evidence that the higher the acceptance degree of local residents in host cities to migrants, the deeper the impact of the respect for migrants on subjective well-being will be. Obviously, the acceptance degree of local residents could not significantly moderate the relations between respect for migrants and their subject well-being. Based on the above research conclusions, this paper suggests that for building a harmonious society and improving the quality of urbanization, equal treatment of migrants and locals should be identified and dealt with. Furthermore, Therefore, we must speed up migrants to blend into the society in the cities.

Problems and Countermeasures of Performance Appraisal in Enterprise Human Resource Management

With the rapid advancement of science in society, driven by the highly updated enterprise technology system, human resource management plays an increasingly important role in the production and operation activities of enterprises, and has become an important factor determining the core competitiveness of enterprises. Therefore, exploring the performance appraisal management of enterprises in human resource management is of great significance for further improving the competitiveness of enterprises and making better use of the advantages of human resources. Based on the theory of performance appraisal management in human resources and taking Xu Fu Ji Food Company as an example, this paper points out the current status and existing problems of the enterprise, such as unclear assessment purpose, neglect of the overall performance management of the enterprise, lack of performance appraisal training and summary links, and puts forward the advantages of clarifying the purpose of performance management, attaching importance to the overall team assessment, and increasing the intensity of performance appraisal training and summary Make suggestions.

Resource-advantage theory, resource-based theory and market-based resources advantage: effect of marketing performance on customer information assets stock and information analysis capabilities

ABSTRACT Transformative developments in the macro environment that lead to transformative changes in the behaviours of firms are an impetus for revisiting extant theories of firm behaviour and revising them, if warranted. In this vein, the article presents an extension of a conceptual model based on resource-advantage theory of competition and resource-based theory of competitive advantage in the context of an interactive digital marketplace. The model delineating the relationship between certain market-based resources (customer information assets, customer information analysis capabilities, and customer knowledge assets), marketing performance and financial performance is extended by delineating the positive effect of marketing performance on a firm’s customer information assets stock and information analysis capabilities in an interactive digital marketplace. Implications for theory and future research are discussed.

COOPERATION MECHANISM AND CHINESE-FOREIGN COOPERATION IN RUNNING SCHOOLS IN CHINA: RESOURCE SHARING AND QUALITY ASSURANCE

Chinese-foreign cooperative education is an important form of foreign cooperation in Chinese education, which provides an effective way to promote the internationalization of Chinese higher education, improve the quality of education, and promote international exchanges and cooperation. With the rapid development of China's society and economy, Chinese-foreign cooperative education is gradually showing new opportunities and challenges in the field of higher education. Effectively introducing foreign advanced educational resources and management experience, making up for some shortcomings of domestic higher education, improving the quality of education as well as enhancing students' cross-cultural communication ability, and improving their own competitiveness are the opportunities for the rapid development of Chinese-foreign cooperative education; and the challenge is that Chinese-foreign cooperative education is not only the cooperation between schools, but also the exchange and integration of culture, technology, talents, and other fields. Therefore, the establishment and improvement of the collaboration mechanism becomes particularly important. In this study, a quantitative research method was used to distribute questionnaires to faculty and staff of Chinese higher education institutions with a background of Chinese-foreign collaborative schooling, and their teaching experiences and views were pooled. Data processing and model validation were conducted through data analysis software such as SPSS and AMOS to derive the impact of resource sharing and quality assurance on the effectiveness of Chinese-foreign cooperation and student learning outcomes in a collaborative mechanism. It was found that in Chinese-foreign collaborative education, resource sharing not only optimizes the teaching environment and improves the education level, but also promotes cultural exchange and academic cooperation. Quality assurance, on the other hand, is a key factor in guaranteeing the sound development of Chinese-foreign cooperative programs, and only by ensuring the quality of education can more international recognition and support be achieved. The findings of this study demonstrate the importance of collaboration mechanisms in Chinese-foreign cooperative education, providing strong theoretical support and practical guidance for the future development of Chinese-foreign cooperative education. It also provides ideas and methods that can be drawn on for future research in related fields and injects momentum for sustainable development to establish a more flexible and efficient collaboration mechanism, strengthen international exchanges, promote intercultural understanding and integration, and realize a win-win situation for Chinese-foreign cooperative education.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0758/a.php" alt="Hit counter" /></p>

How knowledge resources drive industrial chain carbon reduction: an analysis from the knowledge management perspective

PurposeThis paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon emission reduction of the industrial chain, so that the industry can better achieve the saving of energy and the reduction of emission.Design/methodology/approachThis paper argues that the traditional resource-plundering industrial chain production method can no longer meet the needs of sustainable development of the green and low-carbon industrial chain, and builds the coupling and coordination of knowledge technology innovation drive and industrial chain carbon emission reduction mechanism, in the four dimensions of industrial chain organization, government support, internet support and staff brainstorming, put forward suggestions for knowledge resources to drive carbon emission reduction in the industrial chain.FindingsThis paper holds that the use of knowledge resource advantages can better help industrial chain enterprises to carry out technological innovation, knowledge resource digital platform construction, knowledge resource overflow and transfer, application and management of network information technology, so as to reduce carbon emission in industrial chain.Originality/valueThis paper contributes to the discussion about the high-quality implementation of the revitalization strategy of the industrial chain and also deepens research on the knowledge resource-driven carbon emission reduction of the industrial chain. Further, this paper enriches the role of knowledge resources in the industrial industry, and the theoretical results support the advantages of knowledge resource in the field of chain carbon emission reduction.

MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline.

Large-scale diffusion MRI tractography remains a significant challenge. Users must orchestrate a complex sequence of instructions that requires many software packages with complex dependencies and high computational costs. We developed MaPPeRTrac, an edge-centric tractography pipeline that simplifies and accelerates this process in a wide range of high-performance computing (HPC) environments. It fully automates either probabilistic or deterministic tractography, starting from a subject's magnetic resonance imaging (MRI) data, including structural and diffusion MRI images, to the edge density image (EDI) of their structural connectomes. Dependencies are containerized with Singularity (now called Apptainer) and decoupled from code to enable rapid prototyping and modification. Data derivatives are organized with the Brain Imaging Data Structure (BIDS) to ensure that they are findable, accessible, interoperable, and reusable following FAIR principles. The pipeline takes full advantage of HPC resources using the Parsl parallel programming framework, resulting in the creation of connectome datasets of unprecedented size. MaPPeRTrac is publicly available and tested on commercial and scientific hardware, so it can accelerate brain connectome research for a broader user community. MaPPeRTrac is available at: https://github.com/LLNL/mappertrac .

Tracing China's virtual water trade in global value chain: Participation, characteristics, and inequality

The disclosure of global value chain (GVC) division and cooperation is essential for the rational allocation of water resources and the achievement of trade equality, particularly as the global division of labor becomes more pronounced. Currently, there are limited studies on the global value chain at the sub-national level, with most focusing on virtual water trade (VWT) characteristics between two trading partners, without integrating VWT into the global value chain and overlooking significant cooperation among participants. Here, we characterize the international division of GVC and VWT patterns covering 194 regions (31 regions in China and 163 countries) around the world in 2020, and then examine the inequality between virtual water (VW) and value-added (VA) transfer from both environmental and economic perspectives, focusing on the sub-national scale of China. Our results show that in terms of water consumption responsibilities, considerable heterogeneity can be seen in different regions across China. Furthermore, relying solely on the export of primary products for economic development will lead to inequality in trade between countries. In this study, we trace the characteristics of VWT, taking into account the participation and contribution of regions in numerous GVC linkages. In addition, to make our policy implications more targeted, we refine the study resolution to the sub-national scale. Our results suggest that countries should prioritize consumer responsibility in GVC, reduce the drawbacks of trade barriers, and dispassionately exploit the economic and environmental advantages of water resources.

Exploration of Health Trends: Are systematic injustice and disparities causing unequal consequences?

While most of the world holds a heavy dependence on drug use, addiction affects society’s most vulnerable in an unbalanced manner. Although addicts are dismissed for not taking advantage of resources around them to succeed, it is not widely known how disadvantaged communities are predisposed to fail in the United States from the very moment they are born. America possesses deep, horrifying roots of systematic injustice concerning substance use, seen evidently during the crack cocaine epidemic. It is a common notion that substance addictions lead to one being impoverished; however, historical lack of opportunities and no education leads to poverty, which in turn will lead to addiction. Prevalent mental health illnesses can be associated with drug use used for coping mechanisms when individuals are presented with a lack of better alternatives or education. Creating more accessible resources and education to those who are struggling is one of the first steps in correcting existing disparities caused by historical injustices. Minorities are found to disproportionately have worse mental and physical health, a trend mirrored by history. New models of proactive care have to be implemented to address the growing health gap in our country to prevent the growing problem, most importantly at a young age before individuals follow the trend of society which predetermined some to live unhealthier lives based on social conditions.

The Impact of Human Resource Management on University Development

As competition in the education industry intensifies and the knowledge economy evolves, the significance of Human Resource Management (HRM) in university institutions. This study aims to explore how HRM affects the sustainable development and competitiveness improvement of universities. This article begins with a theoretical analysis to define the concept of HRM and its particular relevance within university education. The subsequent analysis examines the multi-dimensional framework of university development, encompassing its connotation, goals, and key influencing factors. The article further elaborates on the positive effects of HRM on university teaching quality, scientific research capabilities, organizational culture, and social services. On this basis, the main challenges currently faced by university HRM are discussed, such as talent mobility, institutional constraints, resource limitations, and internationalization pressure. Finally, optimization strategies are proposed, including building a scientific human resources system, enhancing talent training and development, fostering diversity among teaching staff, and improving decision-making efficiency and transparency. The conclusions of this study aim to provide strategic insights for university education managers to better utilize human resource advantages and promote the comprehensive and sustainable development of universities.

Research on the influence factors of sustainable development of plateau characteristic agriculture based on DEMATEL and AISM combined model.

Under the background of the continuous progress of China's agricultural reform, the development of characteristic agriculture is an important field of agricultural development in the country and even the world. Yunnan has unique advantages in geography, location, climate, and human resources, and has unique conditions for the development of agriculture with plateau characteristic. However, the sustainable development of agriculture with plateau characteristic is affected and restricted by many factors. How to promote the sustainable development of agriculture with plateau characteristic is an important research topic, and it is also the main purpose of this study. Therefore, through literature analysis and investigation, this study studies the advantages and disadvantages, development status, main problems, countermeasures and suggestions, macro development direction, and theoretical research methods of characteristic agriculture in the Yunnan plateau. This paper analyzes the advantages and disadvantages of the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the Adversarial Interpretation Structure Modeling Method (AISM) and proposes to combine the two models to make up for each other and improve the accuracy of model analysis. On this basis, a set of identification and evaluation systems of factors affecting the sustainable development of agriculture with plateau characteristic is established, which can comprehensively and accurately identify and evaluate various influencing factors, and provide a scientific basis for the sustainable development of agriculture with plateau characteristic. Finally, combined with the relevant statistical data of Yunnan Province from 2009 to 2020 and many results calculated by the model, the factors affecting the sustainable development of agriculture with plateau characteristic were comprehensively analyzed. The results show that transportation, environment, and insurance support factors are the root factors that affect the sustainable development of agriculture with plateau characteristic, while the regional economy, scientific and technological support, and the development of agricultural enterprises are of high importance. Financial support, the level of agricultural mechanization, the quality of labor, and other factors can not be ignored. Finally, according to the results of the analysis, the corresponding policy recommendations are put forward to provide a reference for the sustainable development of plateau characteristic agriculture in Yunnan Province.

Analysis of the Effect of Talent Management on Employees' Intent to Leave, As Carried out in the Southeast Anatolia Region

With the increasing importance of intellectual capital, the effective and efficient utilization of human potential within an organization has become a crucial competitive factor. Talent management, an advanced human resources practice that has gained significance in recent years in business organizations, focuses on the skills of employees. In this study, talent management practices aimed at selecting, employing, training, developing, and retaining talented candidates based on their skills in appropriate positions within the organization were examined, specifically in the banking sector. Hypotheses were formulated to investigate the impact of talent management practices in banks on employees' intention to leave. Data necessary for testing the hypotheses were obtained through a survey administered to 421 bank employees in the cities of Gaziantep, Şanlıurfa, Diyarbakır, Mardin, and Batman. The survey results were analyzed using various statistical methods and testing techniques (frequency distribution, mean, t-test, ANOVA, correlation, and regression) with the SPSS 18.0 analysis program. A statistical significance level of p

The Advantages and Challenges of Digital Resources as Supporting Learning Media in Teaching Narrative Writing Text

This research aims to investigate the advantages and challenges of digital resources as supporting learning media in teaching narrative writing text. This research used qualitative methods by using descriptive qualitative design. The data was obtained through document analysis, observation and interview. The subject of this research were two English teachers in Vocational High School Ibnu Khaldun at 10th Grade the academic years of 2022/2023 who implemented digital resources in teaching narrative writing text. The findings of this research show there are four advantages of digital resources. First, digital resources help English teachers in delivering material. Second, access a wider range of material and resources. Third, it can create fun and enjoyable classes. Fourth, improve the quality of learning by new activities. Furthermore, there are three challenges, First, limited internet connectivity. Second, choosing digital resources appropriately. Third, the lack of digital resources implemented by English teachers.

Methyl-Symmetrically Substituted Poly(3,4-Dimethylthiophene) as Cathode for Aluminum Ion Batteries.

The aggravation of energy problems and the scarcity of lithium resources have forced us to look for new energy storage systems. Aluminum ion batteries, as a promising energy storage system, have the advantages of environmental friendliness and abundant aluminum resources, and have the potential for application in large-scale energy storage and personal portable electronic devices. To solve the stability problem of aluminum ion batteries during cycling for large-scale energy storage needs, we report a polythiophene-based conductive polymer, poly(3,4-dimethylthiophene) (PDMT), as a high performance cathode material for aluminum ion batteries. By introducing two methyl groups on the thiophene ring, we successfully adjust the local charge density of the heterocyclic thiophene, thus changing the electron delocalization characteristics, and improving the electrochemical reaction activity of the polythiophene (PTH) material as a redox electrode material. This also maintains the symmetry and regularity of the polymer structure, giving the material better cycling stability. The discharge specific capacity reaches 110 mAh g-1 at a current density of 200 mA g-1, far exceeding conventional PTH cathodes (~70 mAh g-1), and the capacity retention rate is 92.7 % after 1000 cycles. It also shows excellent rate performance due to the flexible structure of the conductive polymer.

Higher-Order Process Matrix Tomography of a Passively-Stable Quantum Switch

The field of indefinite causal order (ICO) has seen a recent surge in interest. Much of this research has focused on the quantum switch, wherein multiple parties act in a superposition of different orders in a manner transcending the quantum circuit model. This results in a new resource for quantum protocols, and is exciting for its relation to issues in foundational physics. The quantum switch is also an example of a higher-order quantum operation, in that it transforms not only quantum states but also other quantum operations. To date, no quantum process without a definite causal order has been completely experimentally characterized. Indeed, past work on the quantum switch has confirmed its ICO by measuring causal witnesses or demonstrating resource advantages, but the complete process matrix has been described only theoretically. Here we report our performing higher-order quantum process tomography. However, doing so requires exponentially many measurements with a scaling worse than that of standard process tomography. We overcome this challenge by creating a new fiber-based quantum switch using active optical elements to deterministically generate and manipulate time-bin encoded qubits. Moreover, our new architecture for the quantum switch can be readily scaled to multiple parties. By reconstructing the process matrix, we estimate its fidelity and tailor different causal witnesses directly for our experiment. To achieve this, we measure a set of tomographically complete settings, which also spans the input operation space. Our tomography protocol allows the characterization and debugging of higher-order quantum operations with and without an ICO, while our experimental time-bin techniques could enable the creation of a new realm of higher-order quantum operations with an ICO. Published by the American Physical Society 2024

Hospital readiness for the provision of care to critically ill patients in Tanzania– an in-depth cross-sectional study

BackgroundCritical illness is a state of ill health with vital organ dysfunction, a high risk of imminent death if care is not provided and potential for reversibility. The burden of critical illness is high, especially in low- and middle-income countries. Critical care can be provided as Essential Emergency and Critical Care (EECC)– the effective, low-cost, basic care that all critically ill patients should receive in all parts of all hospitals in the world– and advanced critical care– complex, resource-intensive care usually provided in an intensive care unit. The required resources may be available in the hospital and yet not be ready in the wards for immediate use for critically ill patients. The ward readiness of these resources, although harder to evaluate, is likely more important than their availability in the hospital. This study aimed to assess the ward readiness for EECC and the hospital availability of resources for EECC and for advanced critical care in hospitals in Tanzania.MethodsAn in-depth, cross-sectional study was conducted in five purposively selected hospitals by visiting all wards to collect data on all the required 66 EECC and 161 advanced critical care resources. We defined hospital-availability as a resource present in the hospital and ward-readiness as a resource available, functioning, and present in the right place, time and amounts for critically ill patient care in the wards. Data were analyzed to calculate availability and readiness scores as proportions of the resources that were available at hospital level, and ready at ward level respectively.ResultsAvailability of EECC resources in hospitals was 84% and readiness in the wards was 56%. District hospitals had lower readiness scores (less than 50%) than regional and tertiary hospitals. Equipment readiness was highest (65%) while that of guidelines lowest (3%). Availability of advanced critical care resources was 31%.ConclusionHospitals in Tanzania lack readiness for the provision of EECC– the low-cost, life-saving care for critically ill patients. The resources for EECC were available in hospitals, but were not ready for the immediate needs of critically ill patients in the wards. To provide effective EECC to all patients, improvements are needed around the essential, low-cost resources in hospital wards that are essential for decreasing preventable deaths.

Eksplorasi Potensi Produk Unggul Desa Untuk Peningkatan Kesejahteraan Ekonomi Keluarga Desa Senang Hati

This community service activity aims to provide entrepreneurship counseling to the community so that they can take advantage of the main opportunities to explore the potential (resources) that exist. One of the opportunities that can have a direct economic impact on the community is to explore and optimize the role of the creative industry where the community can create, explore the uniqueness, potential advantages of resources and local wisdom that are owned so as to produce products that have added value. Entrepreneurship counseling in Senang Hati Village, Malimping Sub-district, Lebak Regency, Banten Province, is expected to open insights and knowledge about the essence of utilizing opportunities to creatively process the potential resources owned. Thus, the community can increase their capacity to start a profitable business. To achieve this goal, it is necessary to provide knowledge about the preparation of marketing strategies and product diversification (market segmentation, product development, promotion, branding, packaging).

AI Applied to the Circular Economy: An Approach in the Wastewater Sector

Water is one of the most basic and essential resources for life and is also a strategic component for the development of the economies of the different countries of the planet. The water sector in the context of ecological transition and the circular economy has enormous economic potential. However, the water resources present in a territory are, in many cases, very limited, and their availability is increasingly restricted. In this respect, current technologies make it possible to generate a whole range of renewable resources. In the case of wastewater treatment plants, in addition to obtaining clean water in sufficient quantity and quality, it is possible to take advantage of multiple other resources generated in the purification processes, such as fertilizers, biogas, bioplastics, and glass, and even recover adsorbents such as enzymes and proteins from wastewater. These resources represent a valuable social, environmental, and economic contribution. The scarcity of some of these resources causes continuous increases in market prices, generating economic tensions between producers and potential users. This work proposes to guide the potential of artificial intelligence (AI)-based methodologies in aspects related to the supply and demand of the resources generated in these infrastructures. Specifically, the use of machine learning (ML) allows for projecting economic scenarios based on multiple variables, such as the quality and quantity of the treated flows, the resources generated in the infrastructures, the current demands, and the prices of substitute goods. This aspect represents a substantial advance in terms of the circular economy since, beyond the technical aspects related to the processes, it ensures a sustainable balance between potential producers and end users. In conclusion, it brings sustainability to the urban water-cycle sector, ensuring the viability of the resources generated.

Machine Learning and Cryptanalysis: An In-Depth Exploration of Current Practices and Future Potential

The rapidly evolving landscape of cryptanalysis necessitates an urgent and detailed exploration of the high-degree non-linear functions that govern the relationships between plaintext, key, and encrypted text. Historically, the complexity of these functions has posed formidable challenges to cryptanalysis. However, the advent of deep learning, supported by advanced computational resources, has revolutionized the potential for analyzing encrypted data in its raw form. This is a crucial development, given that the core principle of cryptosystem design is to eliminate discernible patterns, thereby necessitating the analysis of unprocessed encrypted data. Despite its critical importance, the integration of machine learning, and specifically deep learning, into cryptanalysis has been relatively unexplored. Deep learning algorithms stand out from traditional machine learning approaches by directly processing raw data, thus eliminating the need for predefined feature selection or extraction. This research underscores the transformative role of neural networks in aiding cryptanalysts in pinpointing vulnerabilities in ciphers by training these networks with data that accentuates inherent weaknesses alongside corresponding encryption keys. Our study represents an investigation into the feasibility and effectiveness of employing machine learning, deep learning, and innovative random optimization techniques in cryptanalysis. Furthermore, it provides a comprehensive overview of the state-of-the-art advancements in this field over the past few years. The findings of this research are not only pivotal for the field of cryptanalysis but also hold significant implications for the broader realm of data security.

Health Improvement by Design Through Partnership and Empathy.

The application of technology in precision medicine (i.e., using data to tailor care for specific groups) and machine learning (modeling data to develop new ways to meet particular needs) plays a vital role in population health. And yet, technology alone cannot resolve the challenges presented by the underlying social determinants of health (SDOH) and the structure of healthcare institutions. Progress requires a partnership of stakeholders to build holistic solutions. Typically, a rigid institutional reliance on a sequential process of hypothesis, study, experimentation, and evaluation drives the development of health programs and policies. While this process works in many cases, the results are not always long-lasting. The roots of many health problems persist in their communities, despite expanded funding and advanced resources. In light of this reality, should healthcare leaders do more of what has been done in the past, or should they explore another way-a new way of thinking-to design collaborative, people-driven programs and policies that can improve and sustain the health of their communities? The response presented here and detailed in our book, Public Health and Health Systems Management: A Population Health Perspective (scheduled for publication in 2025 by Health Administration Press), considers healthcare's complex structure and SDOH and promotes the value of design thinking to address those factors.

Can an advanced practice nursing framework address workforce shortages? A case study of a regional health service

Background Across the globe, shortages of nurses and midwives in rural regions persist. Advanced practice nursing has been found to address workforce shortages through career progression aimed at retention. A regional health service sought to consult with staff about developing an advanced practice nursing framework. Aims This study aimed to explore the perspectives of nurses and midwives at a regional health service on (i) how their roles aligned with the modified Advanced Practice Role Delineation (APRD) tool and (ii) the potential for implementation of such a framework at their service. Design A case study conducted at Goulburn Valley Health (GVH) in southeast Australia used a mixed method design with a survey of all nursing and midwifery staff and focus groups with senior staff. Methods All nurses and midwives were asked to complete a validated modified ARPD questionnaire and those in Grades 3–6 were asked to participate in a focus group. Results From 183 questionnaires and 38 participants in the focus group discussions, findings concurred that nurses and midwives at GVH reported spending most time on direct patient care and minimal time on research activities, publication and/or leadership. While education was strongly embraced and advanced practice usually supported, senior staff cited the lack of resources, the culture and staff shortages as restricting opportunities for education, career development and implementation of an advanced practice framework. Conclusions While an advanced practice framework could address staff shortages at this health service, implementation of such a framework is constrained by the lack of resources and workforce shortages common in rural health services. A national strategy that embeds advanced practice roles and resources implementation of advanced practice nursing and midwifery frameworks in areas of need is recommended.