Identification Of Areas For Improvement Research Articles

HPB SO24 - Recurrence Pattern of Pancreatic Ductal Adenocarcinoma based on Time-to-Recurrence: A 5-year Single-Centre Retrospective Study

Abstract Background A vast majority of patients with pancreatic ductal adenocarcinoma (PDAC) develop early disease recurrence, even after curative-intent surgical resection. Understanding the pattern of disease recurrence will enable identification of areas for improvement within the preoperative diagnostic and management algorithms for these patients. The aim of the retrospective cohort study was to compare the recurrence pattern of PDAC in patients with early (<12 vs >12 months) and very early (<6 vs >6 months) recurrence following surgical resection. Method A retrospective review of histologically confirmed pancreatic ductal adenocarcinoma patients who underwent pancreaticoduodenectomy (N=151) between 2015-2020 at a tertiary HPB centre was undertaken. All patients underwent CT and PET-CT for initial staging before resection. Initial recurrence after resection was identified through postoperative imaging and/or HPB MDT outcomes. Early recurrence (ER) was defined as recurrence within the first 12 months after surgery (n=78). Additionally, very early recurrence (VEM) was defined as recurrence within the first six months after surgery (n=46). Statistical analysis was performed using GraphPad Prism 8.0. Results In total, 117 (77.5%) of patients experienced recurrence, with a median recurrence-free survival of 11.3 (5.1-19.6) months. Patients with ER had significantly higher pathological T staging (p=0.01), greater margin positivity rate (p=0.01) and higher lymph node ratio (p=0.046), while those in VER had significantly larger maximum tumour diameter and number of involved lymph nodes (p=0.04) compared to their counterparts. Patients with ER (47.4 vs 31.5%, p=0.046) and VER (60.9 vs 30.5%, p<0.001) had significantly greater rates of liver metastasis compared to their counterparts. There were no differences in loco-regional recurrence, peritoneal or pulmonary metastasis between the groups. Conclusion Approximately 20% of patients undergoing surgical resection for PDAC developed liver metastasis within six months of surgery. This raises concerns for the presence of micro-metastatic disease within the liver unidentified on preoperative imaging. Therefore, there is a need to enhance preoperative imaging and treatment algorithms to improve survival of patients with PDAC.

Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies

The escalation in both frequency and severity of drought events has significantly amplified the vulnerability of numerous countries, particularly in developing ones, imposing substantial economic, environmental, and social pressures. This article presents a systematic review of drought occurrences in Sub-Saharan Africa (SSA), examining historical trends, current impacts, and projected future implications. Through this comprehensive assessment, a clear trend of intensifying drought phenomena emerges across SSA, leading to crop failures, drying of water sources, loss of pasture, food shortages, and an increase in food prices. This review also highlights the concerning potential for worsening conditions in certain regions, resulting in consequences such as migration, food insecurity, malnutrition, family disintegration, crop losses, and increased disease prevalence, notably HIV/AIDS. This study further reveals that current adaptation measures by governments and NGOs should be improved to effectively adapt to the diverse impacts of drought, and it contributes to a deeper understanding of drought dynamics in Sub-Saharan Africa and assesses its critical impacts on food security and social well-being. It also evaluates adaptation measures across different countries, highlighting their strengths and weaknesses and enabling quick identification of areas for improvement. Additionally, it informs resilience-building efforts in vulnerable communities.

Application of Academic Analytical Models in Education Management

Objective: The primary objective of the current study is to provide an analytical systematic review on the application of academic analytical models in educational management and how the related techniques can be used to enhance quality outcomes and learning processes. Methodology: The study adopted the methodological framework outlined by the Joanna Briggs Institute (2015) and was informed by Arksey and O’Malley’s (2005) approach of summary and dissemination of research findings and, in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Findings: Learning analytics has emerged as the most relevant educational concept with the potential of collecting, analyzing and reporting data on learners, educators and administrators for efficient educational management processes. Analytics in education enhances the capabilities of the educators of determining the learners’ performances and identification of areas for improvement to make data-driven learning decisions. Conclusions: The application of analytical models in educational management is based on different domains such as customized learning, intelligent tutoring systems, predictive modelling, automated grading and assessments, and natural language processing. Received: 26 July 2024 / Accepted: 25 October 2024 / Published: 05 November 2024

Performance Analysis of Indian Railway Zones using MCDM Approaches

The study aims to enhance the efficiency and effectiveness of Indian Railways (IR), a public sector infrastructural organization, through a performance analysis using various Multi-Criteria Decision-Making (MCDM) methods. Analyzing the Indian Railway’s open data, the study optimizes and ranks the zones of IR, offering insights for targeted investments to boost future performance. This research holds value by furnishing managerial perspectives, formulating strategies, and elevating the performance of different zones within Indian Railways. Through the identification of improvement areas, the analysis empowers decision-making, facilitating overall enhanced performance. MCDM, Indian Railways, Supply and demand, Data analysis.

Analysis of User Interfaces for Ground Control Stations of Unmanned Aerial Vehicles

Introduction. In the modern world, software (SW) is updated daily, particularly for ground control stations (GCS) of unmanned aerial vehicles (UAVs). These systems ' user interfaces (UI) ensure operator interaction with the drone, flight control, mission planning, and realtime data acquisition. These interfaces must be functional, convenient, and intuitive, allowing operators to perform their tasks effectively. Examining global experience allows for an evaluation of existing systems and the identification of areas for improvement. Important aspects include creating intuitive UIs to prevent information overload, ensuring situational awareness, adapting to extreme conditions, and integrating with other systems. The use of virtual and augmented reality technologies, as well as artificial intelligence, can enhance the functionality and convenience of GCS. Such analysis will help in creating safe, efficient, and reliable systems for UAV control. The purpose of the paper is to investigate and conduct a comprehensive analysis of existing user interfaces of software for UAV ground control stations, focusing on their functional capabilities and ease of use. Methods. The following methodological tools were used: concepts of intellectualization of information technologies, the theory of intelligent control, the methodology of building autonomous systems, decision-making theory, and artificial intelligence theory. Results. A review of global experience in user interface development was conducted. The UIs of each of the studied software were analyzed, and their functional capabilities were assessed, identifying their strengths and weaknesses. Comparative tables of interface products were compiled based on their functional capabilities and UI usability levels. Generalized recommendations were prepared for creating a unified interface that combines the best features of existing solutions and addresses their shortcomings. Conclusions. The analysis of GCS UI design for UAVs showed that all systems have strengths and weaknesses. The UI of the Mission Planner software has the most extensive capabilities, but it also requires improvement. Future development should add roles for military pilots and operators, develop a more intuitive and user-friendly interface that meets user needs, and simplify SW settings. For working in extreme conditions, the interface needs to be optimized. Enhancements in data visualization will help make information clear and easy to understand, which is critically important in fast-paced and dangerous situations. Keywords: user interface, ground control station, UAV, virtual reality, augmented reality.

Integrating Occupant Behaviour into Urban-Building Energy Modelling: A Review of Current Practices and Challenges

Urban-Building Energy Modelling (UBEM) tools play a crucial role in analysing and optimizing energy use within cities. Among the available approaches, the bottom-up physics-based one is the most versatile for urban development and management applications. However, their accuracy is often limited by the inability to capture the dynamic impact of occupants’ presence and actions (i.e., Occupant Behaviour) on building energy use patterns. While recent research has explored advanced Occupant Behaviour (OB) modelling techniques that incorporate stochasticity and contextual influences, current UBEM practices primarily rely on static occupant profiles, due to limitations in the software itself. This paper addresses this topic by conducting a thorough literature review to examine existing OB modelling techniques, data sources, key features and detailed information that could enhance UBEM simulations. Furthermore, the flexibility of available UBEM tools for integrating advanced OB models will be assessed, along with the identification of areas for improvement. The findings of this review are intended to guide researchers and tool developers towards creating more robust and occupant-centric urban energy simulations.

A streamlined and adaptive approach for accrediting a French education system program by ABET-EAC

IntroductionIn recent times, there has been a notable increase in the demand for accreditations, driven by their essential role in recognizing diplomas, elevating the quality of higher education, facilitating student mobility, enabling the pursuit of multiple degrees, and influencing university rankings. This surge in demand reflects the evolving landscape of higher education in a world that is becoming progressively interconnected and competitive.MethodsThis paper presents a comprehensive methodology for accrediting study programs in French higher education institutions worldwide that are seeking the Accreditation Board for Engineering and Technology (ABET) accreditation. ABET accreditation is a globally recognized organism of quality for education programs in engineering, computer science, and related fields. The methodology proposed in this paper focuses on aligning ABET’s requirements and standards with the specific context of the French Education System (FES). It provides clear guidelines and practical steps for higher education institutions to effectively navigate the accreditation process. The methodology covers the verification of existing study programs, identification of areas for improvement, implementation of corrective actions, and continuous progress monitoring. It emphasizes the importance of continuous improvement and aligning programs with the Program Educational Objectives (POEs). Concrete examples and best practices are shared to illustrate successful implementation of the methodology developed based on the example of the engineering college programs at our university.Results and discussionThe results obtained in this case study demonstrate the applicability and effectiveness of this approach within a specific educational context. The approach presented in this contribution can serve as a model for other countries seeking to adapt ABET accreditation requirements to their own higher education systems, further promoting diversity and openness. This reinforces the credibility of the methodology and paves the way for its use in other institutions and programs that operate within similar systems.

An Evaluation On The Institutionalization Of Gender And Development (GAD) Program In Selected Barangays In Lupao, Nueva Ecija

This study evaluates the institutionalization of Gender and Development (GAD) programs in selected barangays in Lupao, Nueva Ecija. The research aims to assess the planning, implementation, and challenges encountered by barangay officials in integrating GAD initiatives into their development plans. Qualitative research methods were employed, including document analysis and interviews with barangay officials and secretaries from three barangays: Agupalo Weste, Burgos, and Alalay Chica. Findings reveal that while the barangays have GAD policies in place, their implementation varies, with most programs focusing on women's involvement or assistance. However, these programs often lack a clear gender-sensitive approach and fail to address the diverse needs of both men and women. Budget allocation for GAD programs also reflects this imbalance, with limited resources directed towards initiatives specifically targeting gender issues. Challenges faced by barangay officials include insufficient knowledge and understanding of GAD principles, resulting in the misinterpretation and misalignment of GAD policies in program planning and implementation. Additionally, inadequate monitoring and evaluation mechanisms hinder the effective assessment of GAD program outcomes and the identification of areas for improvement. Recommendations include capacity-building initiatives for barangay officials, strengthening of GAD structures, gender-sensitive budgeting, awareness campaigns, regular monitoring and evaluation, and collaboration with stakeholders. These measures aim to enhance the institutionalization of GAD and promote gender equality and women's empowerment at the grassroots level. Overall, this study highlights the importance of ensuring that GAD programs are effectively planned, implemented, and monitored to address gender inequalities and contribute to inclusive community development.

Hospital Care for Cancer Patients-Education and Respect for Patient Rights.

This study aims to examine cancer patients' opinions of safety, the observance of patient's rights, and the quality of healthcare. Such an analysis will allow for the identification of areas for improvement in quality, safety, and communication between medical staff and patients. Cancer patients are a special kind of patients with chronic and complex diseases, so we need to observe the type of communication they use, which is a critical issue in a hospital ward but also has a significant impact on how the patient follows recommendations at home. Observing a patient's rights impacts the safety and quality of medical care. This information allows for the identification of areas requiring deeper analysis and improvement. This study was based on a survey conducted at an oncology hospital. The survey contained questions divided into seven sections related to the study areas. Our study emphasizes the importance of knowledge and understanding regarding patient rights among medical staff and patients, underscoring their role in ensuring quality and safety in healthcare settings. We found a strong correlation between the politeness of medical receptionists and staff and patient perceptions of the clarity and exhaustiveness of the information provided.

EvoVis: A Visual Analytics Method to Understand the Labeling Iterations in Data Programming.

Obtaining high-quality labeled training data poses a significant bottleneck in the domain of machine learning. Data programming has emerged as a new paradigm to address this issue by converting human knowledge into labeling functions(LFs) to quickly produce low-cost probabilistic labels. To ensure the quality of labeled data, data programmers commonly iterate LFs for many rounds until satisfactory performance is achieved. However, the challenge in understanding the labeling iterations stems from interpreting the intricate relationships between data programming elements, exacerbated by their many-to-many and directed characteristics, inconsistent formats, and the large scale of data typically involved in labeling tasks. These complexities may impede the evaluation of label quality, identification of areas for improvement, and the effective optimization of LFs for acquiring high-quality labeled data. In this paper, we introduce EvoVis, a visual analytics method for multi-class text labeling tasks. It seamlessly integrates relationship analysis and temporal overview to display contextual and historical information on a single screen, aiding in explaining the labeling iterations in data programming. We assessed its utility and effectiveness through case studies and user studies. The results indicate that EvoVis can effectively assist data programmers in understanding labeling iterations and improving the quality of labeled data, as evidenced by an increase of 0.16 in the average F1 score when compared to the default analysis tool.

Design of KPIs for evaluating the environmental impact of warehouse operations: a case study

The aim of this work is to introduce a system for environmental monitoring within a 4.0 automated warehouse. In the era of globalization, the emphasis on meeting customer needs and establishing a sustainable supply chain has become essential for companies striving to maintain competitiveness in the market. Logistics, in this context, has emerged as a pivotal factor in gaining a competitive advantage. The challenge for companies lies in assessing the impact of ongoing changes and developing a robust logistics strategy to optimize operational efficiency, reduce costs, and mitigate environmental impact.The automation of warehouses is often the solution adopted by companies to meet these new market demands. Through a meticulous analysis of costs and benefits, many companies have recognized the advantages offered by automated solutions in designing their warehouses. However, it is crucial to evaluate not only the economic aspects but also those related to sustainability. European regulations and growing environmental concerns necessitate companies to adopt sustainable practices, reducing environmental impact, energy resource usage, and promoting social well-being.In this context, performance monitoring using specific key performance indicators (KPIs) becomes crucial. They allow for the assessment and monitoring of operational efficiency, resource utilization, and the environmental impact of the automated warehouse. This enables the identification of areas for improvement and the implementation of strategies for sustainable warehouse management. The availability of data that automated warehouses can provide through horizontal integration with Enterprise Resource Planning (ERP) systems further facilitates this process. These systems generate important logistics-related data, such as management control, budget, or production data.

Optimizing the Simulation of Conveyor Systems through Digital Shadow Integration to Increase Assembly Efficiency

In today's highly competitive industrial environment, continuous improvement of efficiency and optimization of processes is crucial. This paper presents an approach to the optimization of conveyor systems that uses the concept of a digital shadow. A digital shadow, as an exact digital replica of a physical conveyor system, enables detailed simulation and analysis of real operational data, providing a basis for in-depth analysis and identification of areas for improvement. The aim of this approach is not only to improve the understanding of the dynamics and performance of existing conveyor systems, but also to increase the overall efficiency through predictive simulations and optimization algorithms. In this work, we demonstrate how the integration of a digital shadow into the simulation process can contribute to a better reaction to changes in the production environment, to the reduction of downtime and to the optimization of production flows. Our methodology combines data collection / analysis, and enables the creation of accurate and flexible models of conveyor systems. These models are then used in simulations that help identify optimal settings for different production scenarios and predict potential problems before they occur. The results of applying our approach on a test laboratory line show a significant improvement in efficiency and a reduction in operating costs. This study provides important insights and practical guidelines for engineers and production managers focused on the use of digital shadow to increase the efficiency of conveyor systems. It also contributes to the development of intelligent production technologies in the era of Industry 4.0.

Политики информационной и кибербезопасности

Information security is a critical issue in today’s world, as the constant threat of cyber-attacks and breaches continues to pose a serious threat to individuals, businesses and governments. To address this issue, it is necessary to evaluate the existing security measures and their effectiveness in protecting against cyber threats, as well as the decisionmaking processes that drive information security policy at the national and international levels. The classification of existing security measures and decision-making actors is an essential step in identifying areas of weakness and improving security policies. By taking a comprehensive approach to the subject, this research has provided insight into different levels of policy development and implementation, as well as the key actors involved at each stage. The review, classification and analysis of existing cybersecurity ratings have also contributed to the identification of areas for improvement. Despite the lack of transparency in the methodology and robustness issues of most ratings, this work has provided some important insights into the overall effectiveness of different cybersecurity and information security policies. Finally, the finding that gaps and theoretical-methodological inconsistencies in the field of national information and cybersecurity research can be explained by the opaque and non-objective methodology used to evaluate the effectiveness of policies is crucial. It shows that there is a need for more transparent and objective methodologies that can accurately evaluate cybersecurity policies at the national and international levels, taking into account the unique challenges and contexts within which they operate.

Port service quality assessment using a ROPMIS modeling: seaports scenario in a Gulf country

PurposeThis paper aimed to assess the service quality of the main seaports in Oman, which were Sohar, Ad Duqm and Salalah. The aim was to come up with ways to enhance the port service quality (PSQ) in Oman so that it could align with the Sultanate of Oman Logistics Strategy (SOLS) 2040 goals and achieve excellent and efficient operations.Design/methodology/approachTo evaluate the service quality level of the port operators, this paper used a descriptive research design with Resources, Outcome, Process, Management, Image/reputation and Social (ROPMIS) modelling.FindingsThe findings indicated that the overall PSQ rating was currently between “satisfactory” and “very satisfactory” levels. However, the study also found that by empowering resources, outcomes, processes, management, image and social responsibility aspects, the port operators could provide a “high” quality of service, making their seaport operations more effective and efficient.Practical implicationsThe study offers recommendations for improving port services in Oman, including investment in modern seaports, upgrading infrastructure and facilities, ensuring safety and efficiency of cargo operations, meeting and exceeding customer expectations, adopting new technology and automation, hiring policies that attract diverse talents, implementing environmentally friendly practices and improving governance. Overall, this study contributes to the literature and managerial practices in PSQ aspects and its contribution to the SOLS 2040 in Oman.Originality/valueThe originality and novelty of this study lie in its comprehensive assessment of the service quality of Oman's ports and the identification of areas for improvement to achieve outstanding service levels.

Enhancing Pedagogic Practice: A Review of Educational Processes

This paper focuses on the improvement process in the educational setting, highlighting the importance of the participation of various agents, including students, parents, teachers, principals and other educational professionals. The improvement process is based on the continuous review and evaluation of educational practice, with the aim of identifying areas for improvement and addressing them effectively. The paper describes the different stages of the improvement process, starting with the identification of areas for improvement through data collection and analysis. These data are used to produce evidence-based reports that serve as the basis for planning necessary improvements. During improvement planning, areas for improvement are prioritized and action plans are designed to address them. The implementation of improvements involves the implementation of the action plans, with a focus on gathering evidence to assess the impact of the improvements. The improvement process is seen as a continuous cycle, with constant review and feedback to further adjust and improve educational practices. The paper also highlights the importance of the involvement of review and improvement groups throughout the process, as they help to identify problems, needs and areas for improvement, as well as to make evidence-based decisions. Several techniques and tools are mentioned, such as brainstorming, review guide, time profiles and cause-effect diagrams, which are used in the process of data collection and analysis. In conclusion, the importance of an evidence-based approach in the educational improvement process, with the active participation of multiple stakeholders and constant feedback to achieve higher quality education is emphasized. The improvement process is described as a continuous cycle of identifying areas for improvement, planning, implementing and reviewing, with the aim of optimizing educational practice and meeting the needs of students and the educational community at large

The development of a novel decision support system for regional land use planning for brownfield land

Digital tools, particularly specialised decision support systems (DSSs), can be utilized to assist in the complex process of brownfield redevelopment. Existing brownfield DSSs typically focus on site-specific, late-stage applications, and socioeconomic factors are often overlooked. In this paper, we present a novel DSS aimed at providing support for early-stage, city region-scale brownfield land use planning and redevelopment. The proposed DSS is a prototype WebGIS application that enables land use planners and other brownfield regeneration professionals to examine a region and a set of sites during the initial planning phase for brownfield redevelopment. The DSS includes three bespoke modules comprising: (1) Land Use Potential (residential, commercial, and public open space), (2) risks posed by contamination and geotechnical hazards, (3) data pertinent to brownfield economic viability assessments. We outline a use case for this DSS, developed through comprehensive user-requirements gathering, and subsequently describe the techniques employed to construct the DSS modules and user interface. Finally, we present the results of user testing, wherein case-study stakeholders assessed the DSS. The feedback obtained during user testing aided in the identification of areas for improvement with regard to the functionality, usability, and effectiveness of the DSS in supporting decision-makers. The feedback was utilized to implement iterative improvements to the DSS and to plan future developments for the prototype DSS.

Strategic Energy Management and Carbon Footprint Reduction in University Campuses: A Comprehensive Review

This review paper offers a detailed analysis and summary of current studies related to energy management and carbon footprint reduction in university campuses. Using insights from different research papers, the review highlights the necessity for strategic and sustainable energy management approaches. The research reviewed explores a wide range of methodologies, including the examination of energy consumption, the identification of areas for improvement, the application of energy management and optimization techniques, and the use of renewable and sustainable energy strategies. It is evident from the review that successful energy management and carbon footprint reduction depend on energy management systems, integration of renewable energy, encouraging behavioural changes, and efficient resource use. The review paper is divided into six sections: understanding and enhancing energy consumption, Techniques for Energy Management and Optimization, random and systematic approaches to energy management, Energy Management Systems and their Applications, approaches for sustainable and renewable energy and carbon footprint reduction techniques. The review also identifies areas of future research in the field. It aims to serve as a valuable guide for university administrators, energy managers, and researchers seeking to implement sustainable energy practices and reduce carbon emissions on university campuses.

Zastosowanie zasad systematycznego podejścia do zespołów dźwigowych w odwiertach naftowych i gazowych

The application of a systematic approach is crucial in the design, operation, and maintenance of lifting complexes in oil and gas wells. Lifting complexes play a vital role in the extraction of hydrocarbons by facilitating the movement of drilling tools, pipes, and other equipment in and out of the wellbore. The principles of a systematic approach and their significanc in ensuring the safe and efficient functioning of lifting complexes are outlined. The systematic approach involves the integration of various elements, including technology, personnel, processes, and equipment, to achieve desired outcomes. In the context of lifting complexes, the principles of a systematic approach are applied at different stages, from the initial design to the ongoing operation and maintenance. During the design phase, a systematic approach is essential to consider all the factors that influence the lifting complex's performance. This includes assessing the well's characteristics, such as depth, pressure, and geological formations, to determine the appropriate lifting capacity and equipment requirements. Additionally, factors like safety regulations, environmental considerations, and operational efficiency are taken into account to optimize the design. Once the lifting complex is operational, the systematic approach continues to play a crucial role. It involves implementing robust management systems, including quality control, maintenance procedures, and safety protocols. Regular inspections and preventive maintenance help identify potential issues and ensure the reliability of the lifting complex. Furthermore, the systematic approach emphasizes the training and qualification of personnel involved in the operation of lifting complexes. Proper training enables operators to understand the complexities of the equipment, follow standard procedures, and respond effectively to any unexpected situations. Continuous learning and skill development programs contribute to maintaining a high level of professionalism and safety awareness. The application of a systematic approach also includes ongoing monitoring and analysis of performance indicators. This allows for the identification of areas for improvement and the implementation of corrective measures to enhance efficiency, reduce downtime, and mitigate risks. In conclusion, the systematic approach is essential for the successful operation of lifting complexes in oil and gas wells. By considering all relevant factors, integrating technology and personnel, and implementing robust management systems, the systematic approach ensures the safe, efficient, and sustainable extraction of hydrocarbons. Adhering to the principles of a systematic approach leads to optimized designs, improved performance, and increased overall effectiveness of lifting complexes in the oil and gas industry.

Development and validation of the secondary mathematics teachers’ TPACK scale: A study in the Chinese context

This study aimed to develop and validate the secondary mathematics teachers’ technological pedagogical and content knowledge (TPACK) scale (SMTTS) to assess the knowledge domains of TPACK framework among secondary mathematics teachers in China. SMTTS was designed to be subject-oriented and culturally relevant, addressing the specific needs and context of mathematics education in China. Data were collected using a web-based questionnaire from secondary mathematics teachers in Chongqing Jiulongpo District. Exploratory and confirmatory factor analyses were conducted to assess the reliability and validity of the scale. The findings demonstrated that SMTTS exhibited strong reliability and validity, supporting its use as a robust measurement tool for assessing secondary mathematics teachers’ TPACK. The scale demonstrated good psychometric properties, including satisfactory factor loadings, internal consistency, and model fit indices. The development of SMTTS contributes to the field by providing a precise and reliable instrument that can inform the design of targeted professional development programs and guide policy decisions regarding technology integration in mathematics education. This study has theoretical and practical implications. SMTTS addresses the need for a subject-specific and culturally relevant assessment tool for measuring TPACK in mathematics education. It acknowledges mathematics teachers’ unique challenges in integrating digital technologies into their instructional practices. The scale’s development and validation process incorporated considerations of the Chinese educational context, enhancing its relevance for practitioners and researchers in China. SMTTS can facilitate the identification of areas for improvement in teachers’ TPACK and guide the implementation of tailored interventions and support initiatives.

The innovative dimension of the research training programmes under H2020-MSCA-ITN: a methodological approach to track, measure and analyse innovative aspects and provide policy-feedback conclusions.

Innovative research training programmes funded by the European Union are essential for the forging of highly skilled researchers to tackle, via breakthrough ideas and solutions, the challenges of our society. Being able to track, measure and analyse innovative aspects of the Marie Sklodowska-Curie Actions, Innovative Training Networks under the Horizon2020 funding scheme enables the impact assessment of such programmes, while filtering best practices and the generated knowledge that could ultimately breed and create further innovation. In parallel, it helps the identification of areas for improvement, the understanding of new needs to be accommodated and the co-design and implementation of EU funding policy activities to further promote innovation and excellence for researchers across Europe and beyond. In this study, a novel methodological approach is proposed for tracking and analysing innovation, using a representative sample of projects. Basic innovation indicators are examined and considered from the existing literature and from the applicable Multi-Annual Framework Programme Horizon2020. Additional ones are defined, complemented by questionnaires/surveys findings, to capture innovative aspects for which the standard indicators do not apply. Data mining and data visualization tools are used for the collection and processing of data. Innovation Radar 2 (IR) reports and HorizonResultsBooster 3 services are also engaged for the cross-validation of the identified innovative aspects. The study provides first-level input for policy-feedback activities, by identifying scientific domains and EU countries that may potentially require more attention for innovation generation. It highlights domains that are front-runners and can be used as examples or best practices for under-represented domains in terms of innovative outputs. Collaboration with organisations, defined as medium/high innovators, can increase innovation generation and success in future projects. Best practices are collected to serve as references for designing impactful future training programmes. The excellence of the H2020-MSCA-ITN actions is confirmed via the generated innovations.