Accession Process Research Articles

The Experience of Setting up a Vascular Access Unit in a South European Large Hospital: The Step-by-Step Description of the First Year of Activity.

The article aims to describe the establishment and development of the Vascular Access Unit in a major hospital in Southern Europe during the SARS-COV2 pandemic and to evaluate the benefits brought by the Unit. The advantages of having a vascular access service for managing various vascular devices are widely recognized in many countries, due to the perceived benefits of reducing complications, increasing efficiency, and lowering costs. Operators were thoroughly and appropriately trained, enhancing the quality and suitability of vascular access by forming a multidisciplinary team to redesign the vascular access process. In the first year, starting from July 2021, we implanted 6125 catheters. The Vascular Access Team achieved a higher percentage of first-attempt cannulation success, which correlated with fewer complications, such as bleeding, and improved patient satisfaction. The complication rate was very low, with most issues arising from improper management. Establishing Vascular Access Teams should be a priority in large hospitals, as they can positively impact ward organization and significantly enhance patient satisfaction.

On-Satellite Implementation of Real-Time Multi-Object Moving Vehicle Tracking with Complex Moving Backgrounds

On-satellite information processing enables all-weather target tracking. The background of videos from satellite sensors exhibits an affine transformation due to their motion relative to the Earth. In complex moving backgrounds, moving vehicles have a small number of pixels and weak texture features. At the same time, the resources and performance of on-satellite equipment are limited. To address these issues, we propose a multi-object tracking (MOT) algorithm with a detection–association framework for moving vehicles in complex moving backgrounds and implement the algorithm on a satellite to achieve real-time MOT. We use feature matching to effectively eliminate the effects of background motion and use the neighborhood pixel difference method to extract moving vehicle targets in the detection stage. The accurate extraction of motion targets ensures the effectiveness of target association to achieve MOT of moving vehicles in complex moving backgrounds. Additionally, we use a Field-Programmable Gate Array (FPGA) to implement the algorithm completely on a satellite. We propose a pixel-level stream processing mode and a cache access processing mode, given the characteristics of on-satellite equipment and sensors. According to the experimental results, the prototype on-satellite implementation method proposed in this paper can achieve real-time processing at 1024 × 1024 px@47 fps.

Plant BCL-DOMAIN HOMOLOG proteins play a conserved role in SWI/SNF complex stability

The SWItch/Sucrose Non-Fermenting (SWI/SNF) complexes are evolutionarily conserved, ATP-dependent chromatin remodelers crucial for multiple nuclear functions in eukaryotes. Recently, plant BCL-DOMAIN HOMOLOG (BDH) proteins were identified as shared subunits of all plant SWI/SNF complexes, significantly impacting chromatin accessibility and various developmental processes in Arabidopsis. In this study, we performed a comprehensive characterization of bdh mutants, revealing the role of BDH in hypocotyl cell elongation. Through detailed analysis of BDH domains, we identified a plant-specific N-terminal domain that facilitates the interaction between BDH and the rest of the complex. Additionally, we uncovered the critical role of the BDH β-hairpin domain, which is phylogenetically related to mammalian BCL7 SWI/SNF subunits. While phylogenetic analyses did not identify BDH/BCL7 orthologs in fungi, structure prediction modeling demonstrated strong similarities between the SWI/SNF catalytic modules of plants, animals, and fungi and revealed the yeast Rtt102 protein as a structural homolog of BDH and BCL7. This finding is supported by the ability of Rtt102 to interact with the Arabidopsis catalytic module subunit ARP7 and partially rescue the bdh mutant phenotypes. Further experiments revealed that BDH promotes the stability of the ARP4-ARP7 heterodimer, leading to the partial destabilization of ARP4 in the SWI/SNF complexes. In summary, our study unveils the molecular function of BDH proteins in plant SWI/SNF complexes and suggests that β-hairpin-containing proteins are evolutionarily conserved subunits crucial for ARP heterodimer stability and SWI/SNF activity across eukaryotes.

Projector-camera calibration with non-overlapping fields of view using a planar mirror

Projector-camera systems have numerous applications across diverse domains. Accurate calibration of both intrinsic and extrinsic parameters is crucial for these systems. Intrinsic parameters include focal length, distortion parameters, and the principal point, while extrinsic parameters encompass the position and orientation of the projector and camera. A non-overlapping projector-camera system is required in certain scenarios due to practical limitations, physical arrangements, or specific application requirements. These systems pose a more complex calibration challenge because the devices have no direct correspondences or overlapping fields of view, necessitating intermediate objects or methods. This paper proposes a calibration method for non-overlapping projector-camera systems using a planar mirror. The method involves a straightforward process that requires a calibrated camera and a separate mirror calibration step. In this setup, the projector displays a pattern on a planar calibration board, and the camera has an indirect view of this calibration board through the mirror. Using homography, 3D-2D correspondences of the projector are established, enabling the calibration of the system. This method is empirically evaluated using real-world setups and quantitatively assessed in a synthetic environment. The results demonstrate that the proposed method achieves precise calibration across various setups, proving its effectiveness. This approach is an easy-to-use and accessible calibration process for non-overlapping projector-camera systems, made possible by a mirror.

Comparison of Transformer-Based Turkish Models for Question-Answering Task

Question-answering systems facilitate information access processes by providing fast and accurate answers to questions that users express in natural language. Today, advances in Natural Language Processing (NLP) techniques increase the effectiveness of such systems and improve the user experience. However, for these systems to work effectively, an accurate understanding of the structural properties of language is required. Traditional rule-based and knowledge retrieval-based systems are not able to analyze the contextual meaning of questions and texts deeply enough and therefore cannot produce satisfactory answers to complex questions. For this reason, Transformer-based models that can better capture the contextual and semantic integrity of the language have been developed. In this study, within the scope of the developed models, the performances of BERTurk, ELECTRA Turkish and DistilBERTurk models for Turkish question-answer tasks were compared by fine-tuning under the same hyperparameters and the results obtained were evaluated. According to the findings, it was observed that higher Exact Match (EM) and F1 scores were obtained in models with case sensitivity; the best performance was obtained with 63.99 EM and 80.84 F1 scores in the BERTurk (Cased, 128k) model.

Fine-grained Trusted Control Methods for IoT Boundary Access

In order to solve the problems of coarse-grained access policies, weak auditability, lack of access process control, and excessive privileges exhibited by existing IoT access control technologies, the author proposes a fine-grained trusted control method for IoT boundary access. The author elaborated on the CcBAC model framework and formalized its definition; At the same time, specific descriptions of the functions in the model were provided, and the access control process of this model in general application scenarios was presented; After rigorous testing, it was found that as the number of requests increased, there was a slight uptick in the average time it took for the function to process them, but beyond a certain point, this time plateaued and even began to decrease gradually. Meanwhile, the system's throughput increased steadily with more requests until it reached a stable level, showing no significant drop even with additional clients. The proposed CcBAC access control model showcased remarkable performance in handling large-scale requests while ensuring fine-grained, autonomous authorization, security, and auditability. It effectively achieved consensus in distributed systems and maintained data consistency. In conclusion, this model empowers resource owners with full control over their resources' access, while also accounting for the detailed and traceable nature of access control.

Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer

This data descriptor presents a comprehensive and replicable dataset and method for calculating the cervical range of motion (CROM) utilizing quaternion-based orientation analysis from Delsys inertial measurement unit (IMU) sensors. This study was conducted with 14 participants and analyzed 504 cervical movements in the Sagittal, Frontal and Horizontal planes. Validated against a Universal Goniometer and tested for reliability and reproducibility. Analysis showed strong validity in the sagittal plane (R = 0.828 ± 0.051) and moderate in the frontal (R = 0.573 ± 0.138), with limitations in the horizontal plane (R = 0.353 ± 0.122). Reliability was high across all planes (Sagittal: ICC = 0.855 ± 0.065, Frontal: ICC = 0.855 ± 0.015, Horizontal: ICC = 0.945 ± 0.005). Our model for CROM measurements is a valuable tool aiding diagnosis, treatment planning, and monitoring of cervical spine conditions. This study presents an accessible analysis process for biomechanical assessments in cervical and spinal fields. The dataset herein serves as a benchmark for state-of-the-art machine learning models predicting head/neck position, analyzing smoothness of movements, measuring standard motion patterns, and calibrating drift based on movement comparisons.

Adding New Components to a Composite Quality Metric

Objectives: This study illustrates how the statistical reliability of an individual measure relates to the overall reliability of a composite metric, as understanding this relationship provides additional information when evaluating measures for endorsement. Background: National quality measure endorsement processes typically evaluate individual metrics on criteria such as importance and scientific acceptability (eg, reliability). In practice, quality measures may be used in composite rating systems, which aid in the interpretation of overall quality differences. Methods: We define an individual measure’s reliability by its intraclass correlation and analytically establish the relationship between a composite’s reliability and the reliability of its components. We use real data to confirm this relationship under various scenarios. We are motivated by 8 quality measures, which comprise the Quality of Patient Care Star Ratings on Dialysis Facility Care Compare. These measure 4 primary outcomes (mortality, hospitalizations, readmissions, and blood transfusions), vascular access (2 measures), and facility processes (2 measures). Results: Depending on the reliability of the individual measures, their respective weights in the composite, and their pairwise correlations, there are circumstances when adding a new measure, even if it is less reliable, increases the composite’s reliability. For the dialysis facility Star Ratings, we find that the combined reliability of measures grouped within certain domains of care exceeded the reliability of the individual measures within those domains. Conclusions: New quality measures may add utility to a composite rating system under certain circumstances—a consideration that should, in part, factor into quality measure endorsement processes.

Power beyond borders? Analysing formal and informal tools of the European Parliament in EU enlargement policy

ABSTRACT The 2022 Russian invasion of Ukraine has seemingly created a new window of opportunity for (pre-)accession candidates, reigniting the European Union’s interest in the subject of enlargement. While existing literature predominantly scrutinizes the Council and the European Commission, this article focuses instead on the European Parliament – an often overlooked yet crucial institution in the accession process. This study offers a first comprehensive examination of the European Parliament’s toolbox with respect to EU enlargement. It comparatively assesses both its formal or legal powers and its informal or political powers, taking into account how they have developed since the coming into force of the Lisbon Treaty in 2009 and up to the December 2023 European Council meeting. Drawing on a combination of an extensive literature review and a systematic analysis of primary documents, this study analyses five key tools at the Parliament’s disposal; agenda-setting power, the consent procedure, standing parliamentary delegations, budget allocation, and parliamentary scrutiny. The findings reveal a notable disparity between the European Parliament’s formal powers and informal powers, thereby confirming its ‘self-empowerment’ strategy and simultaneously underscoring the consent procedure and the budget as the most prominent tools available for the European Parliament.

The contribution of education and cultural diplomacy to strengthening civil society in the Republic of Moldova

Our study aims to explore the dynamics and transformations of civil society in the Republic of Moldova, taking into account the post-communist realities, which lay its foundations as a soft power. Civil society is represented by the social and civic institutions and organizations that form the foundation of a functioning democracy. Civil society organizations are involved in decision-making on social development or decisions of public interest. Civil society can include the media, churches, trade unions, non-governmental organizations, educational associations, etc. What is the link between cultural diplomacy, education and civil society? Based on Bordieu's theory, which provides us with a conceptual and analytical perspective suitable for a critical understanding of the role of civil society in making cultural diplomacy more effective, in our study we tried to establish what role cultural diplomacy in turn plays in the social distribution of local/national/international power in the form of an awareness of interdependence. We also try to follow in our analysis: what is the role of civil society in the Republic of Moldova in the accession process?; in the implementation of its tasks, does the EU-Moldova CSP envisage the use of culture and education, implicitly cultural diplomacy, in the EU accession process?; what role does cultural diplomacy play in the social distribution of power?; in the regional context given by the war in Ukraine, can cultural diplomacy and education help civil society in solving problems related to the judiciary, public administration, the fight against corruption, public finance management and freedom of the press? The methodological framework of the paper is structured around the analysis of the "EU-Moldova Civil Society Platform", in order to underline the role of the EU-Moldova Civil Society Platform and other civil society organizations in the development of civil society, internally, and of cultural diplomacy, externally, in favor of the state interests of the Republic of Moldova, both being seen as soft powers, necessary to fulfill the political and economic interests of the state.

"When you're in the office, it means you managed to get somewhere": An interpretive descriptive study of the perceptions of adolescents accessing primary care for mental health services.

Primary care offers an entry point into the health care system for adolescents experiencing mental illnesses. This study explored the perceptions of adolescents with an anxiety or mood disorder accessing primary care for mental health services. Qualitative interpretive descriptive design was employed. Participants ages 15-18 years (n = 10) were recruited from a mid-sized city in Canada utilizing flyers and social media advertisements. Data were collected between August and December 2019. Data generation methods included photo-elicitation, demographic survey, and semi-structured interviews. Analysis was guided by a health care access framework and ecological model. Adolescents perceived the process of accessing primary care for mental health services as complex and beginning prior to entering the primary care environment; a novel conceptual framework was developed to depict the process. Adolescents described three stages in this process: feeling uncertain about their concerns and requiring help; seeking informal support from parents and friends to initiate help-seeking; and receiving mental health services through primary care. A novel conceptual framework to depict the process of access for adolescents is proposed. Primary care practitioners require awareness of the access process adolescents conceptualize prior to deciding to seek help in primary care, as well as the need to foster their emerging adulthood in care. Targeted interventions to enable early intervention include providing information about mental health services available during routine interactions.

The evolution of civil society in the post-communist Republic of Moldova

Civil society in the Republic of Moldova has undergone significant development since the country gained independence in 1991. From its initial stages of being dominated by a small group of NGOs, Moldovan civil society has grown to encompass a diverse range of organizations working on a wide array of issues. In the early 1990s, civil society in Moldova was nascent and largely focused on humanitarian assistance and human rights issues. The country's transition to a market economy and democracy created a need for independent organizations to provide social services and advocate for the rights of citizens. Throughout the 1990s and early 2000s, Moldovan civil society experienced rapid growth and diversification. New organizations emerged to address a variety of issues, including environmental protection, education, healthcare, and anti-corruption. These organizations played an increasingly important role in shaping public policy and holding the government accountable. In recent years, Moldovan civil society has continued to evolve and adapt to the changing political and social landscape. The country's European Union accession process has brought new challenges and opportunities for civil society organizations. While the EU has provided significant funding and support for civil society development, there have also been concerns about the influence of foreign donors and the increasing politicization of civil society. Despite the progress made in recent decades, Moldovan civil society still faces a number of challenges, including limited funding, weak institutional capacity, and limited public participation. Civil society organizations often struggle to engage the public and build broad support for their work. Despite these challenges, Moldovan civil society has a bright future. The country's young and increasingly educated population is increasingly engaged in civic life. Civil society organizations are playing a critical role in advocating for democratic reforms, promoting human rights, and protecting the environment. Our writing is synthetic and multidisciplinary in its nature. We will try to outline the development curve of the Moldovan civil sphere formed after gaining state independence, showing how this path was formed and what factors had an impact on it, both positive and negative.

The Republic of Moldova's civil society and democratic resilience in the context of the EU integration process

The present study intends to explore both the shortcomings and the achievements of the Republic of Moldova in the fields of civil society and democratic resilience in the context of EU accession process. The first hypothesis of the study asserts that there is a strong correlation between the evolution of Republic of Moldova’s civil society and the democratization of the state. A more specific hypothesis of the study investigates the impact of EU’s support and recommendations for strengthening the sustainability of democracy and civil society. The first hypothesis is discussed in the first two sections of the present study. The investigation of the second hypothesis forms the content of the next two sections, as follows: section three of the study consists in the interpretative analysis of the last three European Action Plans (EUAP) in order to assess the impact of EU’s incentives and conditionalities for the consolidation of democracy and the enhancement of civil society in Moldova; section four of the study focuses on exploring the transformative role of the EU regarding Moldova’s civil society and democratic consolidation in the framework of the Eastern Partnership (EaP). A concluding section reflects upon the main gaps between the EU’s norms and values and the Moldovan civil society and democratic occurrences, respectively, and inquires on the EU’s strategic switch from democratic to geopolitical resilience. Methodologically, the study utilizes qualitative research instruments (descriptive and interpretative content analysis) and data collected on reports of implementation of EUAPs and EaP agendas, recommendations concerning the implementation of policies and reforms, second data extracted from scientific literature on the subject.

Factors influencing the behavior and challenges faced by visually impaired individuals in waste separation.

Understanding the behavior and the challenges of visually impaired individuals in waste separation remains a significant research gap that affects the development of an inclusive and sustainable society. This research study aims to identify and analyze the factors influencing the waste separation behavior of visually impaired people and the key obstacles that these individuals face in public spaces. The study uses a quantitative approach, relying on surveys to gather data from a sample of 358 visually impaired individuals through the use of structured questionnaires. The data was then examined using multiple regression analysis. Results revealed that 91.1% possessed a moderate understanding of waste segregation, while 97.7% held generally positive attitudes toward the practice. Approximately 74.9% of the participants actively engaged in waste segregation at a moderate level. Motivation emerged as the most significant influence of proper waste management behavior, alongside attitude and knowledge. However, challenges persist in public settings, where 69.3% of participants discarded waste without regard to bin types, primarily due to difficulties in distinguishing bin colors and general ignorance. To better address their needs, participants recommended practical solutions, such as bins designed to be distinguishable by shape or sound, ensuring a more accessible and inclusive waste segregation system. This research can help in designing targeted interventions that promote sustainable waste management practices for visually impaired individuals. It can also provide valuable information to researchers, practitioners, and policymakers working towards creating inclusive and accessible waste management environments and processes for people with visual impairments.

DNA replication initiation drives focal mutagenesis and rearrangements in human cancers

AbstractThe rate and pattern of mutagenesis in cancer genomes is significantly influenced by DNA accessibility and active biological processes. Here we show that efficient sites of replication initiation drive and modulate specific mutational processes in cancer. Sites of replication initiation impede nucleotide excision repair in melanoma and are off-targets for activation-induced deaminase (AICDA) activity in lymphomas. Using ductal pancreatic adenocarcinoma as a cancer model, we demonstrate that the initiation of DNA synthesis is error-prone at G-quadruplex-forming sequences in tumours displaying markers of replication stress, resulting in a previously recognised but uncharacterised mutational signature. Finally, we demonstrate that replication origins serve as hotspots for genomic rearrangements, including structural and copy number variations. These findings reveal replication origins as functional determinants of tumour biology and demonstrate that replication initiation both passively and actively drives focal mutagenesis in cancer genomes.

A Comparative Analysis of European Sustainability Reporting Practices: The Role of ESG Standards and SDG's in Enhancing Effectiveness

Objectives: This paper examines the interoperability between Global Reporting Initiative (GRI) standards and the European Sustainability Reporting Standards (ESRS), focusing on their role in improving corporate transparency and accountability, aligned with the European Green Deal's objectives. Theoretical Framework: Grounded in the European Green Deal and sustainability reporting paradigms, the study explores the integration of ESG (Environmental, Social, and Governance) standards and Sustainable Development Goals (SDGs) in shaping corporate practices, emphasizing risk management, financial access, corporate organization, and audit frameworks. Method: A structured literature review is conducted, clustering themes into four categories: risk management, financial access, corporate organization, and audit processes. Both qualitative and quantitative approaches are employed to identify trends and best practices within ESG reporting and regulatory environments. Results and Discussion: Findings reveal significant challenges in regulatory fragmentation, which hinder operational efficiency across jurisdictions. However, there is a positive trend toward the harmonization of ESG frameworks, enhancing financial stability and reducing agency costs. Integrating ESG criteria improves corporate transparency and market perceptions while fostering sustainability. Research Implications: The evolving regulatory landscape presents challenges to the generalizability of findings. Nevertheless, the study offers actionable recommendations to promote regulatory convergence, supporting sustainable business practices and corporate accountability. Originality/Value: By adopting a novel clustering method, this paper provides an in-depth analysis of the interplay between European financial reporting standards and ESG frameworks. It contributes to understanding how harmonized regulations can facilitate sustainable corporate governance and transparency, offering insights for policymakers, managers, and stakeholders.

Faktor-Faktor di Balik Penangguhan Aksesi Kosovo ke Uni Eropa: Perspektif Keputusan Kolektif

The opportunity for membership expansion and the economic and political integration that was offered by the EU, Kosovo decided to join the EU. However, Kosovo's integration process into the European Union is still suspended due to several factors. Therefore, this research aims to explain the reason of the European Union has suspended Kosovo's membership application. This research uses an explanatory method with primary and secondary data. The data analysis technique used in this research is qualitative. This research uses the Decision-Making theory of Richard C. Snyder, H. W. Bruck and Burton Sapin. Research results show that the EU's decision to suspend Kosovo's membership application was influenced by internal and external factors. This internal factor is related to the normative values adopted by the European Union, which requires a unanimous decision of the European Council consisting of the heads of EU member states. However, there were 5 countries that rejected Kosovo's membership application proposal, namely Spain, Greece, Cyprus, Romania, and Slovakia because the five countries did not recognize Kosovo's sovereignty. Then there are external factors related to the Serbia-Kosovo conflict. After these considerations, the European Union suspended Kosovo's membership application. The European Union also supports the progress of Kosovo's accession process which is accompanied by the normalization of Kosovo-Serbia relations. The normalization of the Kosovo-Serbia relationship will also provide changes in the decisions of the five EU member states related to the recognition of Kosovo's sovereignty.

Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection.

Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. Consequently, there remains significant potential for further exploration into improving the efficiency, latency, and power consumption of neural network accelerators across diverse computational scenarios. This paper investigates three key techniques for hardware acceleration of sparse neural networks. The main contributions are as follows: (1) Most neural network inference tasks are typically executed on general-purpose computing devices, which often fail to deliver high energy efficiency and are not well-suited for accelerating sparse convolutional models. In this work, we propose a specialized computational circuit for the convolutional operations of sparse neural networks. This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. Due to issues such as data discontinuity, the data reading unit often fails to fully exploit the available bandwidth during off-chip read and write operations. In this paper, we analyze bandwidth utilization in the context of convolutional accelerator data handling and propose a strategy to improve off-chip access efficiency. Specifically, we leverage a compiler optimization plugin developed for Vitis HLS, which automatically identifies and optimizes on-chip bandwidth utilization. (3) In coefficient-based accelerators, the synchronous operation of individual computational units can significantly hinder efficiency. Previous approaches have achieved asynchronous convolution by designing separate memory units for each computational unit; however, this method consumes a substantial amount of on-chip memory resources. To address this issue, we propose a shared feature map cache design for asynchronous convolution in the accelerators presented in this paper. This design resolves address access conflicts when multiple computational units concurrently access a set of caches by utilizing a hash-based address indexing algorithm. Moreover, the shared cache architecture reduces data redundancy and conserves on-chip resources. Using the optimized accelerator, we successfully executed ResNet50 inference on an Intel Arria 10 1150GX FPGA, achieving a throughput of 497 GOPS, or an equivalent computational power of 1579 GOPS, with a power consumption of only 22 watts.

USING CLOUD TECHNOLOGIES TO OPTIMIZE THE EDUCATIONAL PROCESS AT SCHOOL

The article is devoted to the study of the use of cloud technologies in the educational process of schools, focusing on innovative approaches such as the «Flipped classroom» model. Cloud technologies provide ample opportunitiesfor students and teachers to work together, providing access to educational materials at anytime from anywhere, which contributes to the development of cognitiveindependence of students. The article discusses the types of cloud technologies, their advantages, including cost-effectiveness, accessibility and convenience, as well asdidactically the features of their use. Special attention is paid to the technology of mixed learning in the form of an «Flipped classroom «. Its advantages in comparisonwith the traditional approach are shown, including the activation of cognitive activity of students, increasing the level of their involvement, the development of critical thinking and cooperation skills. The experiment demonstrates the advantages of this technology in teaching computer science, including increasing the interest of schoolchildren in educational material and improving the quality of mastering the topic. The hypothesis of the study is that the use of cloud technologies in combination with the «Flipped classroom» model contributes to increasing the cognitive activity of students, developing their independence and improving the assimilation of educational material. The conclusions confirm the effectiveness of the proposed methodology, which is reflected in the increase in student engagement and quality indicators of their learning. It is concluded that the introduction of cloud technologies in school education contributes to the creation of a personalized and accessible educational process, stimulating the use of modern digital tools to improve the quality of education. The expediency of the adaptive application of the technology of the « Flipped classroom» in educational practice is substantiated.

Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation

Geographic data are the foundation of geographic model construction, and any stage of their acquisition, processing, and analysis may have an impact on the efficiency and quality of geographic modeling and simulation. With the advent of the era of big data, a large number of data resources are generated in the field of geographic information. However, due to the heterogeneity of geographic data and the security of data usage, massive geographic data resources are difficult to fully explore and utilize, resulting in the formation of data islands. This paper proposes a service-oriented geographic data-sharing and computing framework, which provides users with a complete set of geographic data access and application processes (such as data acquisition, processing, configuration, etc.), so as to reduce the difficulty of using data and improve the efficiency of data sharing. The framework mainly consists of three core components: (1) the “Data service container” can publish data resources as data services to provide a consistent data access interface; (2) the “Workspace” provides a series of methods and tools for users to develop data-computing solutions; and (3) the “Data-computing engine” is responsible for performing computing tasks such as data processing and configuration. Finally, a case of runoff simulation using the SWAT model is designed, in which the whole process of data sharing, acquisition, calculation, and application is realized, so as to verify the validity of the proposed framework.