Innovation Cycle Research Articles

Cryptocurrency and financial crimes: A bibliometric analysis and future research agenda

The use of cryptocurrency for financial crimes has increased in recent years because of its decentralized and anonymous nature. This study extracted scholarly articles from the Scopus database and adopted bibliographic and content analysis to review financial fraud research in cryptocurrency. In addition, this study discussed the top ten cryptocurrency scams, potential reasons for falling into those traps, and associated theories to explore scammers’ behavior and outlined comprehensive future research guidelines for a safer financial world. Since 2018, the publication trend of revealing cryptocurrency frauds has gained momentum, and research on this topic has increased significantly in the last two years. The USA is the most significant contributor to cryptocurrency scam research. We found that both developed and developing countries are fairly concerned about combatting crypto fraudsters even though there are no regulated guidelines across the countries. The research potential has shifted from malware, bitcoin, and blockchain to fintech-based crimes such as money laundering, pump-and-dump schemes, and phishing. We observed that ICO fraud, money laundering, Ponzi schemes, phishing, darknet market transactions, ransomware, and pumps and dumps are some of the predominant crimes in crypto and that investor overconfidence, speculative expectations, low barriers to entry, decentralization, and anonymity are the primary reasons for crimes in cryptocurrency. This study suggests studying the socioeconomic impacts of cryptocurrencies, the necessity for standardized global regulation, and the integration of interdisciplinary research. Future research should emphasize exploring the innovation cycle in cryptocurrency assets, understanding cybercrime dynamics, guarding against crypto market manipulation, and developing automated scam prevention.

Sustaining e-health innovations in a complex hospital environment: learning through evidence.

Implementing and sustaining technological innovations in healthcare is a complex process. Commonly, innovations are abandoned due to unsuccessful attempts to sustain and scale-up post implementation. Limited information is available on what characterizes successful e-health innovations and the enabling factors that can lead to their sustainability in complex hospital environments. We present a successful implementation, sustainability and scale-up of a virtual care program consisting of three e-health applications (telemedicine, telehome monitoring, and interactive voice response) in a major cardiac care hospital in Canada. We describe their evolution and adaptation over time, present the innovative approach for their "business case" and funding that supported their implementation, and identify key factors that enabled their sustainability and success, which may inform future research and serve as a benchmark for other health care organizations. Despite resource constraints, e-health innovations can be deployed and successfully sustained in complex healthcare settings contingent key considerations: simplifying technology to make it intuitive for patients; providing significant value proposition that is research supported to influence policy changes; involving early supporters of adoption from administrative and clinical staff; engaging patients throughout the innovation cycle; and partnering with industry/technology providers.

Thermodynamic performance of an innovative space nuclear Brayton cycle with S–N2O

The supercritical Brayton cycle system is renowned for its characteristics of elevated high-power density, compact structure, lightweight design, and extended operational lifespan, rendering it as a preeminent energy conversion approach for space nuclear power systems. Using nitrous oxide (N2O) as the working fluid in a supercritical Brayton cycle system enables heightened efficiencies at comparatively lower cycle temperatures. This study examined four distinct layout configurations, culminating in an in-depth analysis of their respective thermodynamic performances. Among the configurations analyzed, the newly proposed recompression Brayton cycle with partial cooling and heat recovery (RBC-PCHR) layout exhibited the best thermodynamic performance compared to other cycle configurations. This superiority can be principally attributed to augmented heat recovery procedures and reduced compression workloads. A detailed multi-objective optimization strategy is subsequently embarked upon, building upon the insights gained from the sensitivity analysis pertaining to the key operating parameters. The optimization outcomes show significant enhancements, with an increase of 1.37% in ηth and 32.18% in MBRU, along with a marginal decrease of 0.70% in ηex.

Legal Challenges of Intellectual Property Rights for Quantum Computing

Quantum computing is a very multidisciplinary field, a blend of materials science, electronics, electromagnetism, thermodynamics, quantum physics and the corresponding mathematical framework. The study aimed to evaluate the existing scenario of the choice of the intellectual property rights (IPRs) protection mechanisms for quantum computing, choice of best applicable type, and suggesting some key alternative innovation protection mechanisms. The methodology used in this research consists of general scientific and specific legal (historical-legal, formal-legal) methods besides law interpretation and legal modelling. We critically analyzed the norms for IPR protection of quantum computing from the viewpoint of obtaining protection of inventions and increasing the innovation activity in quantum computing. One of the regulatory mechanisms for every disruptive technology is offering it IP protection. Currently quantum computing hardware is protected by patents while software is mostly protected as copyright besides protection by industrial design and trade secret exist as complementary mechanisms for this revolutionary technology. All available approaches were considered, and amendments are suggested in current IPR legislation to correspond to the reality. This interdisciplinary research revealed the uncertain nature of quantum computing and the difficulty in selecting one type of IPR as the best choice. The best way to establish a sufficient IPR mechanism is to acknowledge quantum computing as an emerging technological cocktail, and to sustain the innovation cycle of this technology. The conclusions of this study can be used to overcome the lacunas in existing IPR system for the quantum computing. This research can be used as torchbearer when preparing proposals for making revisions and additions to the existing legislation.

Research on Off-Design Characteristics and Control of an Innovative S-CO2 Power Cycle Driven by the Flue Gas Waste Heat

Recently, supercritical CO2 (S-CO2) has been extensively applied for the recovery of waste heat from flue gas. Although various cycle configurations have been proposed, existing studies predominantly focus on the steady analysis and optimization of different S-CO2 structures under design conditions, and there is a noticeable deficiency in off-design research, especially for the innovative S-CO2 cycles. Thus, in this work aimed at the proposed novel S-CO2 power cycle, off-design characteristics and corresponding control strategies are investigated for the waste heat recovery. Based on the design parameters of the S-CO2 cycle, structural dimensions of printed circuit heat exchangers (PCHEs) and shell-and-tube heat exchangers are determined, and design values of turbines and compressors are specified. On this basis, off-design models for these key components are formulated. By manipulating variables such as cooling water inlet temperature, cooling water mass flow rate, flue gas inlet temperature and flue gas mass flow rate, cycle performances of the system are analyzed under off-design conditions. The simulation results show that when the inlet temperature and the mass flow rate of cooling water vary separately, the thermal efficiency both can reach the maximum value of 28.43% at the design point. For the changes in heat source parameters, the optimum point is slightly deviated from the design condition. Amidst the fluctuations in flue gas inlet temperature, the thermal efficiency optimizes to a peak of 28.56% at 530 °C. In the case of variation in the flue gas mass flow rate, the highest thermal efficiency 28.75% can be obtained. Furthermore, to maintain the efficient and stable operation of the S-CO2 power cycle, the corresponding control strategy of the cooling water mass flow rate is proposed for the cooling water inlet temperature variation. Generally, when the inlet temperature of cooling water increases from 23 °C to 27 °C, the cooling water mass flow should increase from 82.3% to 132.7% of the design value to keep the system running as much as possible at design conditions.

Innovation Ecosystem as a Factor in Sustainable Development of the Regional Economy

Relevance. The innovation ecosystem is currently the vector for the development of innovation activity in the regional economic system. In the context of the emergence of destabilizing external factors and economic instability in the state, innovative activity acquires a key role associated with the formation of economic stability at the macro, meso and micro levels, helping to counter external threats and challenges. It has a particular influence on the development of the regional economic system, ensuring the growth of the level of enterprises and economic sectors through the production of high-tech products. Thus, stimulating the growth of competitiveness, both at the level of enterprises and the region as a whole. The innovation ecosystem is a condition for achieving the effectiveness of innovation, thanks to the process management system in the innovation cycle, from the generation and production of an innovative product, to its implementation and promotion, thereby expressing the relevance and practical significance of this phenomenon in conditions of economic instability. The purpose of the study was to determine the functional characteristics and influence of the innovation ecosystem on the processes of innovation in the region, as a necessary condition for the integration of elements of the Concept of Sustainable Development.Objectives. The study set and consistently solved the following objectives: conduct a theoretical review of the concept of “innovation ecosystem” and study approaches to its theoretical understanding; identify its structural units and relationships between its elements and formulate a model of the functioning of the region’s innovation ecosystem; assess the impact of the innovation ecosystem in the process of integrating elements of sustainable development and test it using the example of the Vladimir region.Methodology. The work used methods of statistical, graphical and logical analysis, generalization, and systematization of data.Results. Based on a theoretical review, a model of the functioning of the region's innovation infrastructure was obtained, and its influence was determined when integrating elements of the Concept of Sustainable Development into the regional economic system of the Vladimir region.Conclusions. When conducting the study, it was concluded that the integration of the innovation ecosystem into the regional economic system helps to increase the indicators of innovative products produced, and will create conditions for the implementation of the goals of the concept of sustainable development in the region.

Towards sustainable development: Exploring the spillover effects of green technology innovation on energy markets and economic cycles

With the proposal of sustainable development goals, the world has placed increasing emphasis on energy transition and green, low-carbon initiatives, leading to the emergence of green technology. This article explores the spillover effects among green technology innovation (GTI), oil prices (OP), clean energy (CE), sustainable development (SD), and economic cycles (EC) with the time-varying parameter vector autoregression (TVP-VAR) connectedness method. The empirical results demonstrate that, in static analysis, the short-term connectedness is significantly stronger than that in the long term. SD serves as the main transmitter, while EC acts as the primary receiver. Furthermore, dynamic analysis suggests that spillover effects fluctuate with time and frequency. Finally, the net direction and net pairwise connectedness reveal that GTI is favorable for mitigating OP shocks and accelerating EC in the long term, while it is driven by CE and SD in the short term. The contribution of this paper lies in its incorporation of GTI, energy markets, economic cycles, and SD into a unified framework, and its detailed analysis of the channels of influence. Also, based on a time-frequency domain perspective, the paper dynamically examines the different performances of specific markets in the short or long term. Finally, the paper proposes some policy recommendations, including the strengthening of green technology innovation and the acceleration of energy transition.

The Main Directions of State Policy in Ensuring Technological Sovereignty

An analysis of the reforms in the scientific and technological complex and higher education system in Russia shows that the tasks assigned have been successfully achieved. However, in current conditions, the need for a new state-led scientific and technical strategy is evident. The main goals are to achieve technological sovereignty and transition the economy into a full cycle of innovation. The goal of this article is to identify new objectives and priorities for scientific and technological advancement to ensure technological sovereignty. Descriptive, comparative, and taxonomical methods are employed in the analysis. The paper identifies the main areas of government policy aimed at achieving technological sovereignty in Russia, and this constitutes the main finding. Additionally, it is essential to develop new objectives and strategies for scientific and technological growth. In fact, the new scientific and technological policy should include the following issues: organizing scientific research, developing innovative territories, integrating science and education, conducting scientific diplomacy, providing resource and legislative support, and measuring the effectiveness of the scientific-technological complex.

Dynamic spill-over influences of FinTech innovation development on renewable energy volatility during the time of war in pandemic: A novel insight from a wavelet model

The research investigates the correlation between FinTech innovation and the index of renewable energy volatility from May 1, 2019, to October 28, 2022, by utilizing cutting-edge multiple wavelet analysis (MWA) techniques, including coherency and gain of partial wavelets. FinTech innovation and the green energy sector exhibit multiple coherencies. These coherencies suggest that three cycles, spanning from January 2020 to June 2020, December 2020 to April 2021, and January 2022 to May 2022, were focused on the high-frequency spectrum (3–68 days). Meanwhile, the other cycles were focused on low frequencies (69–130 days), which coexisted between June 2019 and January 2021 and January 2022 and October 2022. Green bonds and FinTech innovation's partial coherency indicate that modifications to the green bond markets caused shifts in FinTech innovation between June and November of 2019. FinTech innovation is in sync with green bonds pushing from December 2021 to October 2022. The partial consistency of FinTech innovation and sustainable energy demonstrates that both metrics align with the current FinTech innovation cycle, pushing from May 2019 to August 2019 and from December 2020 to July 2021, and both indicators are in sync with ARKF pushing. We also demonstrate how unexpected events like the Ukraine-Russia conflict and the COVID-19 epidemic affect these dynamic connectednesses. Hence, our paper calls for policy designs that promote the role of FinTech development in stabilizing the renewable energy market.

Analysis and characterization of the categorical-conceptual field of the conceptual construction "innovative technologies in the field of physical education and sports"

The article highlights the categorical and conceptual field of the conceptual construction "innovative technologies in the field of physical education and sports", which is the basis for its construction; the characteristics of such concepts as: "technology", "innovation", "innovative activity in the field of education", "educational technology", "innovative educational program", "innovative educational project", "innovative educational product", "innovation cycle", "innovative technologies", "innovative technologies in the field of physical education and sports"; their interrelation and importance for education in general and specialists in the field of physical education, in particular, are presented.
 The analysis, synthesis and generalization of concepts and conceptual constructions of scientific and scientific-methodical literature, state nomenclature documents, as well as such research methods as: comparison, analysis of own long-term pedagogical experience in checking, reviewing qualification works of higher education applicants, including mastering and expert examination of dissertations, it was found that most higher education applicants do not pay due attention to the acquisition of special terminology during their studies in higher education, do not refer to the legislative and regulatory framework. At the same time, special terminology is always related to the content of a particular science, theory and practice of a particular field.
 It is noted that special terminology, including terminology in the field of physical education and sports, is an urgent necessity, the basis of professional communication, which requires in-depth knowledge, continuous development and improvement from specialists.
 It is emphasized that a clear understanding and correct use of the concepts and conceptual constructions mentioned in the article will allow specialists in the field of physical education and sports to correctly direct their efforts towards the development and implementation of innovative technologies in the theory and practice of physical education and sports, as well as contribute to improving the quality of their research work.

Future of precision manufacturing: Integrating advanced metrology and intelligent monitoring for process optimization

Precision manufacturing is undergoing a transformative evolution fueled by the integration of advanced metrology techniques and intelligent monitoring systems. This abstract explores the future trajectory of precision manufacturing through the convergence of these technologies, focusing on their synergistic role in process optimization. Advanced metrology techniques, including high-resolution imaging, laser scanning, and non-contact surface measurement, provide unprecedented levels of accuracy and detail in capturing dimensional data. These techniques enable manufacturers to precisely analyze component geometry, surface finish, and tolerances, facilitating the production of parts with exceptional precision and quality. Moreover, the integration of metrology within the manufacturing process allows for real-time feedback, enabling rapid adjustments and corrections to ensure adherence to design specifications. Intelligent monitoring systems complement advanced metrology by continuously collecting data from various sensors embedded within manufacturing equipment. These systems utilize artificial intelligence (AI) and machine learning algorithms to analyze vast amounts of data in real-time, detecting anomalies, predicting equipment failures, and optimizing process parameters. By leveraging data-driven insights, manufacturers can enhance production efficiency, minimize downtime, and reduce scrap rates. The synergy between advanced metrology and intelligent monitoring extends beyond quality control to encompass holistic process optimization. Through the seamless integration of these technologies, manufacturers can achieve unparalleled levels of precision, efficiency, and flexibility in their operations. For instance, real-time metrology feedback combined with AI-driven monitoring enables adaptive manufacturing processes that dynamically adjust parameters based on changing environmental conditions or material properties. Furthermore, the future of precision manufacturing lies in the adoption of a digital twin approach, where virtual replicas of physical manufacturing systems are created and synchronized with real-time data. This enables predictive maintenance, virtual prototyping, and simulation-based optimization, leading to significant cost savings and accelerated innovation cycles. The future of precision manufacturing hinges on the integration of advanced metrology and intelligent monitoring technologies. By harnessing the synergies between these innovations, manufacturers can achieve unprecedented levels of precision, efficiency, and agility, driving forward the evolution of manufacturing in the digital era.

Cooking Up Prosperity: Pop-Up Restaurants, Innovation, and Lifestyle Entrepreneurship

Entrepreneurship is central to diversifying and enhancing the competitiveness of tourism offerings. The current literature underscores a critical oversight in nurturing entrepreneurship for tourism innovation and urges further exploration of entrepreneurial motivations in tourism start-ups. This is particularly relevant because the tourism sector heavily relies on new ventures to drive innovation, as established firms often struggle to meet the growing demand for distinctive and unique travel experiences. This study examines the entrepreneurial journey and innovation process within the tourism scene. Through comprehensive desk research and an in-depth entrepreneur interview, we aim to deepen our insights into the motivations driving entrepreneurs and the innovation processes behind their tourism products and services. Specifically, our research focuses on pop-up restaurants, illuminating their embodiment of innovation and lifestyle entrepreneurship. The findings reveal that a sense of freedom, creativity, and the pursuit of uniqueness stand out as key motivational factors of establishing pop-up restaurants. These motivations extend into a continuous business innovation cycle, as the drive to enhance and offer novel experiences remains paramount. This study elucidates the uncharted territory of tourism entrepreneurship and offers valuable insights into the driving forces and innovative dynamics within this evolving market.

4E analysis and triple objective NSGA-II optimization of a novel solar-driven combined ejector-enhanced power and two-stage cooling (EORC-TCRC) system

This study proposed an innovative combined ejector-enhanced organic Rankine cycle and two-stage compression refrigeration cycle (EORC-TCRC), to investigate its potential to revolutionize energy utilization and offer a sustainable solution for the current energy challenge. Energy, exergy, economic, and environmental (4E) analysis of the novel EORC-TCRC system was conducted first. The performance appraisal of the novel system compared to the conventional combined power and ejector refrigeration system has been evaluated. The evolutionary non-dominated Sort Genetic (NSGA-II) optimization algorithm was implemented to ascertain triple-objective optimal system operating conditions. The results revealed a significant improvement in refrigeration output, energy, and exergy efficiency with values of 220.06 kW, 11.67%, and 17.07%, respectively, compared to the conventional Rankine power and ejector refrigeration system. By different selections of the objective functions, four groups comprised of Multi-Objective CT–ղex, Multi-Objective CT–ղTh, Multi-Objective ղex–ղTh, and Triple-Objective mode presented to sought NSGA-II optimization results. The optimization results of Multi-Objective CT–ղTh mode indicated that the best thermal efficiency and overall system cost rate operating conditions are 28.25% and 78,820 ($/year), respectively. While the optimal system operating condition occurs in the Triple-Objective ղex- ղTh-CT with the exergetic efficiency of 41.69%.

The interplay of the innovation cycle, build time, lifetime, and deployment rate of new energy technologies: a case study of nuclear fusion energy

Abstract This article analyses how a forced transition to low-carbon energy impacts the innovation of new energy technologies. We apply the insights to nuclear fusion, potentially a large provider of carbon-free energy currently attracting billions in private investments. We discuss the ‘fastest-feasible-growth (FFG)’ curve for transitions: exponential growth followed by linear growth, where the rate of latter is limited by the inverse lifetime of the installation. We analyse how innovation is affected if, during rapid deployment, a technology progresses through several generations. We identify key timescales: the learning time, the generation time, the build time, and the exponential growth time of the early deployment phase and compare these for different energy technologies. We distinguish learning rate-limited and generation-time-limited innovation. Applying these findings to fusion energy, we find that a long build time may slow deployment, slow learning, and promote early technology lock-in. Slow learning can be remedied by developing multiple concepts in parallel. Probabilistic analysis of value implies that the optimal strategy is to parallelize the development of many concepts. This concurs with the present surge in private investment in multiple concepts. For this strategy to be successful, the build time of the power plant must be minimized. This requirement favours concepts that lend themselves to modularization and parallelization of production and assembly.

Innovative deep eutectic solvent approaches in zinc electroplating for morphology enhancement, superior strength, and corrosion protection

The growing number of galvanized scrap due to the extensive application of galvanized products has led to a significant increase of the zinc content in the electric furnace dust, so how to realize high-value comprehensive utilization of zinc-containing dust has become a key issue for the sustainable development of the iron and steel industry. Based on the principle of recycling zinc resources, this study proposes an innovative full life cycle process for the preparation of electro-galvanized sheet using zinc-containing dust as raw material and deep eutectic solvents (DESs) as medium. Zinc plating was successfully prepared on duplex steel automobile plates using choline chloride-urea DES (Reline) as the electrolyte, and the modifying effects of different concentrations of nicotinic acid (NA) on the electrochemical system of the solution and the prepared plating were also investigated. The results show that the addition of 0.06 M NA to the system can modulate the deposition morphology of the plating layer, leading to the generation of ultrafine grains, and the surface densities and flatness are significantly improved. Besides, the addition of NA to the system increased the hardness value by 67.5 % and reduced the coefficient of friction by 38.8 % compared to the plating obtained in the system without additives; the corrosion rate decreased from 0.374 mm·a-1 to 0.023 mm·a-1, and the corrosion mechanism of the zinc layer was a direct dissolution process of zinc. This study realizes the morphology regulation of electroplated zinc plating, and greatly improves the aesthetics, mechanical properties and corrosion resistance of the plating at the same time, also the preparation process is in line with the requirements of the green development, which can provide a novel solution for the automotive high-quality plating.

Supercritical CO2 flow and heat transfer through tapered horizontal mini-tubes: Parametric analysis and optimization study

One effective method for enhancing heat transfer in tubular heat exchangers involves gradually altering the cross-section of their tubes. While extensive research has been carried out in typical operating conditions, a significant shortage of studies exists that specifically investigate how changes in tube cross-section affect the heat transfer of fluids under critical and pseudocritical conditions. Additionally, the absence of a comprehensive parametric study considering the effect of all operating conditions and geometric parameters, and providing an optimal model in this field, is keenly felt. This paper offers a finite volume-based numerical simulation of steady-state turbulent flow and heat transfer for supercritical CO2 inside circular horizontal mini-tubes with tapered lateral profiles. It is found that the impact of buoyancy on thermal and hydraulic characteristics is more noticeable in the diverging mini-tube than in the converging mini-tube. The results of the parametric study reveal that under the same geometric parameters, the heat transfer coefficient in the diverging mini-tube is higher than that in the converging mini-tube by 5.2–28.6 %, with a simultaneous reduction in pressure drop ranging from 52.1 % to 68.5 %. However, in the case of a high diameter or diameter ratio, the heat transfer coefficient of the converging mini-tube exceeds that of the diverging mini-tube. Subsequently, an optimization study is conducted using BBD-RSM. To achieve the maximum heat transfer coefficient and the minimum pressure drop, an additional 54 cases are investigated, covering diverse ranges of operating conditions and geometric parameters. The results indicate that the mass flow rate and tube diameter are the most influential parameters on thermal and hydraulic characteristics. Additionally, the impact of the diameter ratio on the pressure drop is more pronounced than on the heat transfer coefficient. This research can serve as a foundation for enhancing the design of heat exchange devices within innovative supercritical CO2 power generation cycles.

Design and implementation of an innovative canned cycle for variable pitch thread cutting on CNC milling machines

This paper presents the development of a new canned cycle for CNC milling machines capable of cutting threads with variable pitch, addressing a significant limitation in modern CNC systems. While existing CNC milling machines provide canned cycles for thread cutting, they lack the capability to program variable pitch, necessitating reliance on CAM systems. In response, the proposed canned cycle offers increased flexibility, quicker setup times, and reduced dependence on CAM systems. The cycle accommodates both internal and external threads, supports left-hand or right-hand threading, and incorporates a user-friendly control panel for easy programming. To validate its efficiency, the canned cycle is implemented using a G-code parametric algorithm, and a series of simulation tests are conducted. The results demonstrate the viability and advantages of the new CNC milling feature in cutting threads with variable pitch, opening up possibilities for various mechanical applications.

Innovación en los ecosistemas de distribución turística: el papel de los intermediaries y nuevos agentes

Tourism distribution is facing new challenges characterised by accelerating innovation cycles, a shift from traditional to digital business models, and ever-deepening technical know-how, which provide organisations with new opportunities to expand their capabilities and become more competitive. We aim to achieve a comprehensive and updated synthesis of current research approaches to innovation in tourism distribution ecosystems and provide proposals for future studies. This is one of the first thematic reviews to concentrate on how the tourism distribution ecosystem can be understood comprehensively through the application of the 6C framework. The study aims to conduct an in-depth review of 53 selected papers obtained from a specific search criterion employed across widespread repositories of Scopus and Web of Science databases, capturing the period from Jan 2001 to August 2023. In business ecosystems, advancements in information and communications technologies have triggered radical innovations in tourism distribution with the emergence of players with new business models. This affects traditional players who must innovate to remain competitive. An organisational analysis shows that new online players lead product innovation, whereas traditional distributors rely more on process innovation. Organisational innovation has emerged as necessary for both.

Lifecycle evaluation of medical devices: supporting or jeopardizing patient outcomes? A comparative analysis of evaluation models.

Lack of evidence regarding safety and effectiveness at market entry is driving the need to consider adopting a lifecycle approach to evaluating medical devices, but it is unclear what lifecycle evaluation means. This research sought to explore the tacit meanings of "lifecycle" and "lifecycle evaluation" as embodied within evaluation models/frameworks used for medical devices. Drawing on qualitative evidence synthesis methods and using an inductive approach, novel methods were developed to identify, appraise, analyze, and synthesize lifecycle evaluation models used for medical devices. Data was extracted (including purpose; audience; characterization; outputs; timing; and type of model) from key texts for coding, categorization, and comparison, exploring embodied meaning across four broad perspectives. Fifty-two models were included in the synthesis. They demonstrated significant heterogeneity of meaning, form, scope, timing, and purpose. The "lifecycle" may represent a single stage, a series of stages, a cycle of innovation, or a system. "Lifecycle evaluation" focuses on the overarching goal of the stakeholder group, and may use a single or repeated evaluation to inform decision-making regarding the adoption of health technologies (Healthcare), resource allocation (Policymaking), investment in new product development or marketing (Trade and Industry), or market regulation (Regulation). The adoption of a lifecycle approach by regulators has resulted in the deferral of evidence generation to the post-market phase. Using a "lifecycle evaluation" approach to inform reimbursement decision-making must not be allowed to further jeopardize evidence generation and patient safety by accepting inadequate evidence of safety and effectiveness for reimbursement decisions.

Innovative Cultural Tourism in the Perspective of Cultural Ecology in the Context of Big Data: Theory, Strategy, Practice

Abstract Taking cultural ecology as the carrier of tourism resources, it fully embodies the significance of the synergistic development of cultural tourism ecology for the innovation of the cultural tourism model. The article establishes a cultural tourism ecological synergy model by integrating cultural ecology and cultural tourism under the guidance of the theory of the life cycle of tourist places and industrial innovation. Taking the nine provinces of the Yellow River as the research object, its cultural tourism data are collected and pre-processed, cultural tourism keywords are extracted by the TextRank algorithm, and the LDA model is established to obtain cultural tourism themes. The Skip-gram model was combined with the GCN network to establish a cultural tourism emotional image perception model, and the Moran index and nearest-neighbor index were introduced to analyze the spatial structure and regional evolution of cultural tourism attractions. The keywords of cultural tourism are mainly embodied in ecology and culture, which all appear more than 1,000 times, and the percentage of tourists’ most concerned cultural tourism themes is 22.15%, and most of the nearest neighbor indices of the spatial structure of the attractions at different levels are less than 1, which is cohesive. The Moran index of tourists’ footprints in 2022 is 0.106, the footprint coverage rate is 0.26 percentage points higher than that in 2012, and tourists’ positive emotional evaluation of cultural tourism destinations reaches 80%. Based on cultural ecology, realizing the synergistic development of cultural tourism and ecology is the way to innovate cultural tourism.