Innovative Model Research Articles

Education Inequality Between Rural and Urban Areas in China

Educational inequality is one of the significant societal challenges currently facing China. In particular, the educational disparity between rural and urban areas constrains rural students' development and opportunities and negatively impacts overall socioeconomic progress. Through a comprehensive study, this article seeks to elucidate the definition of developmental imbalance, understand the underlying causes of such disparity, and delve deeper into the roots, effects, and solutions of educational inequality between rural and urban areas in China. It also explores the potential of online education (MOOCs) as a solution. This paper summarizes and highlights the educational inequality problems in urban education in terms of enrollment indicators and school funding support. Through data investigation and analysis, we can discover the causes of educational inequality in implementing compulsory education and the issue of academic immigration. People have also found innovative education models such as MOOCs can provide rural students with more educational opportunities and resources. However, challenges related to interactivity, personalized learning environments, and communication between learners and teachers must be addressed. The paper also acknowledges the need to tailor MOOC course design to meet students' needs and improve learning outcomes in different educational contexts.

Evidence-based successful example of a structure-based approach for the prediction of designer fentanyl-like molecules

In 2019, we published three innovative quantitative structure-activity relationship models (QSAR) for predicting the affinity of mu-opioid receptor (µOR) ligands. The three different models were then combined to produce a consensus model used to explore the chemical landscape of 3000 virtual fentanyl-like structures, also generated by us by a theoretical scaffold-hopping approach to explore potential novel active substances and predict their activity. Interestingly, five years have passed, and some of the virtual predicted compounds have been identified/reported to e.g. the EU Early Warning System or the United Nations Office on Drugs and Crime, thus confirming our warning hypothesis that new emerging drugs from our screen would find way to the market.

Proposal of model for prediction of grape processing and spraying time by using IoT smart agriculture sensor data

The grape industry's impact on agriculture and the economy requires precise forecasting for processing and spraying schedules to optimize production. This article introduces an innovative IoT-based model for predicting optimal timings in grape processing and spraying. By integrating real-time environmental and viticultural data, the model improves decision-making, enhancing product quality, reducing energy consumption, and increasing operational efficiency. Crucially, SARIMA predictive algorithms forecast parameters like temperature, humidity, wind speed, and air pressure. This comprehensive model transforms the grape industry, offering advanced decision support and promoting sustainable, resource-efficient production. The research signals a potential shift to precision agriculture, balancing economic viability with environmental stewardship in grapes.

Nurse-Led Models of Care: Practice and Policy to Support Aging in Place.

Research demonstrates that aging in place is the goal of most adults aged >50 years. Unfortunately, multiple barriers to aging in place continue to exist, especially for vulnerable populations. Achieving this goal will require innovative nurse-led models of care and new policies for RN reimbursement. The current article describes a nurse-led clinic implemented in one community. Using an evidence-based nurse-led model of care, a team of university faculty, students, and a family nurse practitioner designed and implemented a nurse-led clinic for a religious community in the Pacific Northwest. Today, the nurse-led clinic offers care coordination and primary care to support aging in place and is one example of a nurse-led model well-positioned to address the aging in place needs of vulnerable populations. Replication and sustainability of this nurse-led model requires sweeping policy change, including consideration of requiring all nurses to attain a National Provider Identification number to expand RN reimbursement and ultimately increase access to care. [Journal of Gerontological Nursing, 50(3), 13-17.].

Nanofluid dissipative stagnation point flow of Casson type over a stretched sheet influenced by a variable surface heat flux and magnetic field

The studied problem focuses on the flow of Casson nanofluid induced by a stretched surface in the presence of a magnetic field and exposed to variable surface heat flux, with an emphasis on enhancing thermal efficiency. This research aims to highlight the flow of Casson nanofluid at the stagnation point on a stretching sheet, taking into account the influence of heat generation and variable thermal conductivity. The fluid being examined exhibits a steady-state two-dimensional flow. The formulation of the model involves deriving partial differential equations, which are later converted into ordinary differential equations using similarity transformations. This particular research stands out by introducing an innovative mathematical model for Casson nanofluid, taking into account variable surface heat flux and covering several implications that have not been explored in current literature. We utilize the shooting method to compute numerical solutions for the formulated equations. Graphical representations are used to illustrate the numerical results for velocity, concentration, and temperature distribution. Furthermore, tabulated findings encompass the Sherwood number, skin friction coefficient, and local Nusselt number. A comparison with a previous study from the literature was conducted, demonstrating a robust agreement between our results and theirs. Several compelling findings indicate that the local Nusselt number rises as the velocity ratio parameter, suction parameter, thermal conductivity parameter, and heat flux exponent increase. Conversely, the Casson parameter, magnetic number, heat generation parameter, and thermophoresis parameter are observed to lower the local Nusselt number.

Kentucky Outreach Service Kiosk (KyOSK) Study protocol: a community-level, controlled quasi-experimental, type 1 hybrid effectiveness study to assess implementation, effectiveness and cost-effectiveness of a community-tailored harm reduction kiosk on HIV, HCV and overdose risk in rural Appalachia

IntroductionMany rural communities bear a disproportionate share of drug-related harms. Innovative harm reduction service models, such as vending machines or kiosks, can expand access to services that reduce drug-related harms....

Fostering Self-Efficacy among Filipino Nursing Students Post-Pandemic: Effectiveness of Dedicated Education Units

The COVID-19 pandemic has posed unprecedented challenges to nursing education in the Philippines, prompting the exploration of innovative strategies to support students' self-efficacy. This study investigates the implementation of the Dedicated Education Unit (DEU) model in Filipino nursing education post-pandemic. Drawing from international research and theoretical frameworks such as Bandura's Social Cognitive Theory, the study explores the potential benefits of DEUs in enhancing students' self-efficacy. A pre-test, post-test experimental design was employed to evaluate the impact of DEU implementation on nursing students' self-efficacy levels. Statistical analyses reveal a significant increase in students' self-efficacy post-intervention (p-value=0.003), indicating the efficacy of the DEU model in fostering students' confidence and belief in their clinical abilities. The average score before the intervention was 2.81, while after the intervention, it increased to 3.67. Discussion highlights the positive outcomes associated with DEUs, including improvements in student self-efficacy, critical thinking, and successful transition to professional practice. The study concludes with implications for future research and practice, emphasizing the importance of continued exploration and adaptation of innovative clinical education models to meet the evolving needs of nursing students and healthcare systems.

Patient-planetary health co-benefit prescribing in a circumpolar health region: a qualitative study of physician voices from the Northwest Territories, Canada

BackgroundDespite climate change being described as a code red for humanity, health systems have been particularly slow in both climate mitigation and adaptation responses. The effects of climate change on...

Students’ Perceptions on Online Teaching and Learning in Higher Education

Virtual environments allow teachers to approach the teaching process inclusively and creatively, to facilitate the effective transfer of learning and to support student learning with new technologies regardless of various barriers. The hereby study evaluates the students’ views concerning the virtual delivery of courses during their learning process taking into consideration their former face-to-face teaching-learning experience. It was based on the theoretical part which included typical aspects of online teaching and learning are presented and the most recent studies in this area are reviewed. Following previous research, we aim to develop an innovative model of successful online teaching and learning in higher education. A questionnaire-based research methodology was designed for 355 students at a university in the North-Eastern region of Romania. The questionnaire with closed-ended items was used for assessing students’ attitudes on the online teaching activity. The results indicate students’ preference for online courses, as well as a number of significant differences, depending on the study specialisation or form of education. Any future changes to online teaching and learning in universities should also take into account students’ and teachers’ views on this particular issue. Such an approach should allow us to see whether and how effective the use of virtual teaching environments can be for both students and teachers in higher education (HE).

HARMONIOUS SOCIAL ENTREPRENEURSHIP: A BUSINESS INNOVATION MODEL FOR EMPOWERING INDONESIAN COMMUNITIES THROUGH RELIGIOUS ORGANIZATIONS

Religious organizations possessed significant potential for community empowerment through social entrepreneurship practices. Although social entrepreneurship had emerged as a strategy within religious institutions to bolster congregational and community economies, it had yet to garner adequate attention. This study aimed to identify social entrepreneurship implementations, explore challenges, and formulate a suitable social entrepreneurship model within the context of religious organizations. The research was conducted within a religious organization in North Sulawesi, Indonesia. The findings suggested that achieving harmonious social entrepreneurship in Indonesia required an inclusive, collaborative stakeholder approach and increased NGO involvement through mentoring roles in entrepreneurial activities. Through a business innovation model integrated into religious organizations, community well-being could be achieved by synergizing entrepreneurship and spiritual values.

Grappling with governance: Emerging approaches to build community economies

Economic development is evolving, where building the economy was once the largely purview of businesses and governments, increasingly, communities are taking action to build local economies that are more sustainable, equitable and inclusive. As community participation in local economic development increases, new, more collaborative governance models are beginning to emerge. This research leverages a community economies framework to explore the role of non-traditional, community actors in advancing local economic development. Building on the local, rural, and asset-based community development scholarship, this study aims to fill the gap in the literature through an empirical investigation into how one rural community, in Prince Edward County, Ontario, is developing a new governance structure to build a community-led economic development plan. Data for this research was collected through focus groups, key informant interviews and community conversations. Results highlight that when building the local economy, especially in rural communities, it is important to take an assets-first approach; leverage cross-sector partnerships; and experiment with innovative models to drive economic development. This research also illustrates the complexity of developing an alternative governance structure and offers perspectives on navigating the changing field of local economic development.

Integrated algorithm evaluation of a scalable digital power management innovation model

Maintaining contemporary society’s steady progress depends on the reliable functioning of the electrical grid. The complexity and nonlinearity of today’s power networks make it difficult to manage them using conventional mathematical modeling approaches. To get around these problems, researchers have started using machine learning methods, such transient stability evaluation that is based on machine learning. This research suggests a way to evaluate the transient stability of power systems by making use of the complex feature extraction capabilities of multi-layer perceptron (MLP) networks. Another approach is to suggest an ensemble learning model that uses the easy-ensemble undersampling technique to deal with power system transient stability data that is unbalanced. This method preserves unstable power system samples, performs multiple undersampling on stable samples and combines unstable and undersampling samples into multiple new balanced training sets for MLP model training. The final ensemble model is obtained through voting integration strategy. Through conducting a comparative evaluation of individual models and ensemble models, this paper discovers that the ensemble learning models exhibit superior sensitivity and accuracy in effectively addressing system instability.

TRANSFORMASI INOVASI MODEL BISNIS PADA UMKM BATIK PASCA PANDEMI COVID 19

The pandemic phenomenon had a significant impact on small and medium-sized enterprises, compelling them to respond to the situation. Business Model Innovation (BMI) represents an innovation model suitable for the sustainability of small and medium-sized enterprises, particularly as the local SME situation deteriorated during the first two years of the COVID-19 pandemic, specifically in 2020-2021. The reconfiguration of business models has emerged as one of the alternatives for SMEs to overcome these challenges. The business model concept enables Small and Medium Enterprises (SMEs) to tackle dynamic business challenges. In reality, the alteration of Business Models (BMs) in SMEs varies across different organizations. This research aims to provide insights into the changes in BMs for SMEs following the pandemic, specifically within the batik industry, through the Integrated Marketing Communications (IMC) approach applied to various case studies. The method used in this research is descriptive qualitative through case studies with case selection using a purposive sampling approach, which is the MSME of the Batik Industry. The results of this study offer empirical information about the Business Model Innovation (BMI) of SMEs during the pandemic, which can serve as a foundation for further research in BMI, particularly concerning SMEs. 
 Keywords: Business Model Innovation; SMEs; Batik; Pandemic

FAST-CA: Fusion-based Adaptive Spatial–Temporal Learning with Coupled Attention for airport network delay propagation prediction

The issue of delay propagation prediction in airport networks has garnered increasing global attention, particularly due to its profound impact on operational efficiency and passenger satisfaction in modern air transportation systems. Despite research advancements in this domain, existing methodologies often fall short of comprehensively addressing the challenges associated with predicting delay propagation in airport networks, especially in terms of handling complex spatial–temporal dependencies and sequence couplings. In response to the complex challenge of predicting delay propagation in airport networks, we introduce the Fusion-based Adaptive Spatial–Temporal Learning with Coupled Attention (FAST-CA) framework. FAST-CA is an innovative model that integrates dynamic and adaptive graph learning, coupled attention mechanisms, periodicity feature extraction, and multifaceted information fusion modules. This holistic approach enables a thorough analysis of the interplay between flight departure and arrival delays and the spatial–temporal correlations within airport networks. Rigorously evaluated on two extensive real-world datasets, our model consistently outperforms current state-of-the-art baseline models, showcasing superior predictive performance and the effective learning capabilities of its intricately designed modules. Our research highlights the criticality of analyzing spatial–temporal relationships and the dynamics of flight coupling, offering significant theoretical and practical contributions to the advancement and management of air transportation systems.

Designing Technical Systems in The Anthropocene: Manifesto for a New Paradigm

The RASSCAS Laboratory (Applied Research in Social Sciences to Design a Sustainable Anthropocene) is a human sciences laboratory based in a digital engineering school. The idea of this laboratory is to guide engineering students towards models of design and innovation that respond both to the ethical desires of this young generation and to the need for responsible innovation imposed by the context of access to development that is fair for mankind and sustainable for life and the planet. This article is first and foremost a profession of faith, that of researchers who have decided to commit themselves to the path of development that respects life. It is also a call to become aware of the need to modify traditional design models. It’s a call for a paradigm shift from anthropocentric models to one that gives equal place to human and non-human living beings.

The Effectiveness and Student Satisfaction on Aerobics Instruction in Flipped Classroom Modality

Flipped classroom, as an innovative teaching model, has been widely applied and validated in various disciplines, but its effectiveness and applicability in professional fields such as aerobics teaching are still uncertain. This study randomly selected 368 college students from Sichuan University for Nationalities in Sichuan Province, China for a survey. Descriptive quantitative research methods were used to describe the effectiveness of flipped classroom implementation in college aerobics teaching and the current situation of student satisfaction. The aim was to provide insights for guiding the improvement of the effectiveness and student satisfaction of flipped classroom implementation in college aerobics teaching, and to understand the influencing factors and implementation conditions that affect these aspects, Specific suggestions have been put forward from a macro perspective to address the existing problems. These strategies contribute to an enriched learning experience, providing comprehensive support for students' aerobic education and overall learning journey.

Digital economy: opportunities for transformation of entepreneurial structures

Purpose. To analyze the stages of digital transformation of entrepreneurial structures and identify the levels of transformation. Methodology. In the process of scientific research on the digital economy and the transformation of entrepreneurial structures, the following methods were utilized: expert assessment (involving experts from various fields of economic activity allowed for additional conclusions and recommendations regarding the possibilities of implementing digital technologies in entrepreneurial structures), scenario modeling (by developing various scenarios for the implementation of digital initiatives, the potential consequences and results of each were investigated), systems analysis (enabled considering the interrelations between various aspects of digital transformation and its impact on the economy and society as a whole), and marketing research (helped identify market needs and requirements for the implementation of digital solutions and products). Findings. The research considered the stages of digital transformation of entrepreneurial structures, which involve assessing the current state and readiness of the enterprise for the implementation of digital transformation; studying the potential offered by digital transformation and its effective implementation; investing in advanced digital technologies and the development of new digital products; designing and releasing products and services based on advanced digital technologies; controlling the transformed business and implementing advanced digital technologies and innovative business models. Advantages of digital transformation of business models are considered, which involve increasing the number of customers, enhancing customer satisfaction, increasing lead generation, traffic growth. The authors identified six levels of “digital transformation” of entrepreneurial structures, describing the stages of changes in business models caused by digital transformations: unsystematic level, opportunities monitoring, replicable level, results-driven, achieved controlling, and optimized level. Originality. A stage of digital transformation of entrepreneurial structures has been proposed: controlling the transformed business and implementing advanced digital technologies, which allows tracking the implementation of the strategy and achieving goals in the context of digital development. The authors highlighted such stages of digital transformation of entrepreneurial structures as opportunities monitoring and achieved controlling, which, unlike those existing in the scientific community, play a key role in the path of digital transformation of entrepreneurial structures. Practical value. The analysis conducted confirms the relevance of issues related to the digital transformation of entrepreneurial structures, the formation of changes in views on stages and levels of digital transformation in accordance with current trends and uncertain conditions. The research results can be taken into account and practically implemented when forming policies for the digital transformation of entrepreneurial structures, regardless of the field of activity.

Microsurgical Training: A Review of Existing Methods and an Innovative Practice Model

Abstract Surgery under magnification with the use of the operating microscope has seen great advances, and numerous surgical procedures today depend on optical magnification. Training (to impart basic skills) in microsurgery is particularly essential to enable surgeons to take their place in the surgical team and learn further as they progressively observe, assist, and in time, perform microsurgical procedures. Various materials and models are used and have been objectively assessed and validated for simulation in microsurgical training. One such model, the live animal model (with all its disadvantages), has been the “gold standard” for simulation in microsurgical training. We have identified and put into use a new tissue model for training in microvascular surgery – the chicken mesentery, which will offer a good practical solution where the live animal model is unavailable. Further studies using this model for training at various centers will be required for validation and comparison of this tool against existing methods.

CONSTRUCTION OF A TEACHING STRATEGY MODEL FOR CULTIVATING HIGHER-ORDER THINKING SKILLS IN COLLEGE STUDENTS

In the era of the knowledge economy, the intensification of the technological revolution and international competition have triggered a rethinking of the core competencies of talent in the 21st century by countries. Many countries have shifted their focus on talent development from specialized knowledge and skills to training in complex tasks and information-processing thinking. In higher education, guiding students to transition from lower-order thinking, such as memorisation and understanding of knowledge to higher-order thinking, such as analysis, synthesis, and evaluation of various information is a vital aspect of the new era's innovative teaching model and the enhancement of talent cultivation. This study was conducted face-to-face interviews with 12 teachers with practical experience cultivating higher-order thinking skills using purposive sampling. The collected interview data were analysed and coded using nvivo software and qualitative research methods, constructing five teaching strategy models for cultivating higher-order thinking skills in college students: scaffolding instruction, heuristic instruction, project-based instruction, collaborative learning, and diversified assessment feedback.

Studying the peculiarities of the universities students’ motivation for research activities

Introduction. The article substantiates the need for up-to-date knowledge about the state and possibilities of university students’ research activities, taking into account the necessity to increase the importance of such activities for education and personal development of future professionals in the field of science. The purpose of the article is to present the research results (2023) reflecting the problems of involving students into research activities and ways of solving these problems, as well as the results of investigating students’ motivation at the Herzen State Pedagogical University in Russia. The innovative model of preparing highly qualified scientific and academic staff is characterized. Materials and Methods. The research methodology is based on the ideas of a personality-centered approach. Theoretical and practical methods of scientific research were applied: theoretical analysis, synthesis, classification; the online questionnaire, which revealed various aspects of students’ motivation to participation in research activities, and mathematical methods of data processing. Results. The authors presented three groups of results: - the review and analysis of studies conducted in the 2000s by Russian and international researchers on various aspects of engaging university students in research activities; - the review of current research investigations conducted in Russian universities, reflecting practice of improving university students’ research activities in various regions of the country; - the results of the study conducted in 2023 at the Herzen State Pedagogical University of Russia - a survey of students majoring in the following fields: Education (Education science); Psychology (psychological sciences); Psychology and Education which reflect the key positions of organizing students’ research: the engagement of students in educational activities; motivation for research activities; satisfaction with research experience; the degree of participation in the student research society; self-assessment of the research skills; assessment of existing conditions for research activities and accessibility to them at the university. Conclusions. Students will choose research activities as a basis for their professional formation if research is considered to be a leading activity in the higher educational institution; where external and internal motives of involving students in research are taken into account and regulatory and research support of students in their scientific self-determination is manifested. One of the possible forms of creating such conditions is the model of a joint master’s and doctoral-level degree program.