Search Results (32)

With the rapid development of information and communication technology, the new quality productive force has gradually become one of the key factors to promote scientific and technological innovation and promote the transformation and upgrading of industrial structure. Based on the essential connotation and three key characteristics of the new quality productive force, this study constructs a comprehensive evaluation index system and measures the development level of the new quality productive force by the entropy method, while the industrial structure advancement coefficient is employed to assess provincial industrial upgrading. This study examines the relationship and transmission mechanisms between the new quality productive force (NQPF), scientific and technological innovation (STI), and industrial structure optimization (ISO) using China’s provincial data (2012–2022) from the National Bureau of Statistics of China through the stepwise regression method. Based on a balanced panel of 330 province-year observations, the results show that NQPF significantly enhances STI, with stronger effects in regions with higher NQPF development. However, regional heterogeneity exists, with the eastern and central regions benefitting more than the western region. Additionally, mediation tests reveal that the NQPF fosters STI, thereby driving industrial upgrading. These findings highlight NQPF’s role in regional innovation and structural transformation. Full article

The COVID-19 pandemic disrupted routine healthcare services, including testing and treatment for sexually transmitted infections (STIs). At the same time, it fostered optimism about the potential of direct-to-consumer (DTC) self-testing solutions, fueled by remarkable progress in self-sampling practices, rapid testing technologies, and the adaptation of regulatory frameworks. Direct-to-consumer (DTC) self-testing and self-sampling for STIs became then still a more critical alternative, offering privacy, accessibility, and the potential to address testing gaps, especially for underserved, at-risk groups. This review critically analyzed the literature published since the onset of the COVID-19 pandemic. DTC testing has evolved significantly since the pandemic, with notable advances in technology, availability, and disease and geographical coverage. It has increased STI testing uptake among underserved or hesitant populations, including men who have sex with men and young adults. However, issues around cost, data reporting, and follow-up care persist, and many at-risk groups still lack access. While these solutions have improved testing uptake and public health outcomes, anticipated widespread adoption and advances have been slower than expected. Limited market options, weak research, and regulatory challenges have hindered growth. Research has often focused on potential user acceptance rather than real-world usage. Future directions should leverage trendy approaches in medical ethnography and transformational marketing to emphasize user- and data-driven innovation, affordability, and regulatory support based on private provider accountability. Full article

This study investigates the spatial boundaries and mechanisms of the effect of scientific and technological innovation (STI) on high-quality agricultural development (HQA) to enhance agricultural practices. By employing a double-fixed spatial Durbin model and analyzing panel data from 167 prefectural-level cities in major grain-producing regions spanning from 2004 to 2021, we revealed significant spatiotemporal variations in the impact of STI on HQA in both local and adjacent cities. Our findings remained robust after rigorous testing. The study identified the spillover range of STI to be 420 km, displaying a distinctive inverted U-shaped trend around 170 km. Mechanism analysis indicates that both agricultural industry upgrades and human capital levels within 420 km amplify the influence of STI on local HQA, with only the latter demonstrating spillover effects. Within 170 km, both factors effectively regulate HQA in adjacent cities, while beyond this distance, only human capital regulatory impact continues to exhibit spillover effects. These insights offer theoretical guidance for designing effective agricultural scientific and technology promotion policies aimed at elevating the quality of HQA. Full article

This paper looks into the determinants of national innovation performance from the perspective of policy regime and establishes a theoretical model on how a country’s dual Science, Technology, and Innovation (STI) policy regimes, democratic and meritocratic, and national absorptive capacity (NAC) jointly determine its national innovation performance. A democratic STI policy regime promotes innovation through channels of freedom, social equality, and public participation. A meritocratic STI policy regime promotes innovation through channels of good governance and rational policymaking. The model further proposes that the relationships between STI policy regimes and national innovation performance are moderated by potential NAC (PNAC) and realized NAC (RNAC) in opposing directions. The fixed-effects panel regression of OECD countries confirms that both democratic and meritocratic STI policy regimes have positive effects on national innovation performance. Moreover, the democratic effect is positively moderated by PNAC but negatively moderated by RNAC. In contrast, the meritocratic effect is positively moderated by RNAC but negatively moderated by PNAC. The major contribution of this paper is to highlight the importance of a country’s STI policy regimes as the bedrock and NAC as the leverage to generate more homegrown innovations. Full article

The Pass Gate Effect (PGE), often referred to as adjacent cell interference, presents a significant challenge in dynamic random-access memory (DRAM). In this study, we investigate the impact of PGE and propose innovative solutions to address this issue in DRAM technology, employing 10 nm node technology with buried channel array transistors. To evaluate the efficacy of our proposals, we utilized SILVACO for simulating various DRAM configurations. Our approach centers on two key structural optimizations: the introduction of a spherical Shallow Trench Isolation (STI) and the incorporation of a silicon nitride (Si₃N₄) layer within the spherical STI structure. These optimizations were meticulously designed to mitigate the PGE by considering several factors that are highly influential in its manifestation. To validate our approach, we conducted comprehensive simulations, comparing the PGE factors of typical DRAM structures with those of our proposed configurations. The results of our analysis strongly support the effectiveness of our proposed structural enhancements in alleviating the PGE when contrasted with conventional DRAM structures. Remarkably, our optimizations achieved a remarkable 82.4% reduction in the PGE, marking a significant breakthrough in the field of DRAM technology. By addressing the PGE challenge and substantially reducing its impact, our research contributes to the advancement of DRAM technology, offering practical solutions to enhance data integrity and reliability in the era of 10 nm node DRAM. Full article

Scientific and technological innovation (STI) is an important internal driver of social and economic development. Reasonable evaluation of regional scientific and technological innovation (RSTI) capability helps discover shortcomings in the development of urban development and guides the allocation of scientific and technological resources and the formulation of policies to promote innovation. This paper analyzes new opportunities created by big data and artificial intelligence for the evaluation of RSTI capability, and based on this analysis, the collaborative evaluation schemes of multi-entity participation are investigated. In addition, considering the important value of unstructured data in evaluating STI, the Latent Dirichlet Allocation (LDA) topic model and sentiment analysis method are employed to analyze the construction of an evaluation indicator system that integrates scientific and technological news data. To fully utilize the respective advantages of human experts and machine learning in the field of complex issue evaluation, this paper proposes an RSTI capability evaluation model based on AHP-SMO human-machine fusion. This study promotes the integration of science and technology and economy and has theoretical and practical significance. Full article

This study focused on seismic event detection in a volcano using machine learning by leveraging the advantages of software/hardware co-design for a system on a chip (SoC) based on field-programmable gate array (FPGA) devices. A case study was conducted on the Copahue Volcano, an active stratovolcano located on the border between Argentina and Chile. Volcanic seismic event processing and detection were integrated into a PYNQ-based implementation by using a low-end SoC-FPGA device. We also provide insights into integrating an SoC-FPGA into the acquisition node, which can be valuable in scenarios where stations are deployed solely for data collection and holds the potential for the development of an early alert system. Full article

This study investigated the effects of Science, Technology, and Innovation Official Development Assistance (STI ODA) on Foreign Direct Investment (FDI) in developing countries. The study sought to empirically analyze whether STI ODA has contributed to attracting FDI in recipient countries and whether specific sub-variables, such as absorptive capacity, human capital, infrastructure, and scientific and technical journal articles have a moderating effect. The analysis method was a panel analysis model that combined cross-sectional and time-series data as fixed-effect and random-effect models to reflect individual effects in the empirical analysis. This study highlights the importance of STI ODA in achieving sustainable development goals and fostering economic growth. Full article

Examining and assessing the characteristics of innovation networks among science and technology firms at the city level is essential for comprehending the innovation patterns of cities and improving their competitiveness. Nevertheless, the majority of studies in this field solely rely on patent and paper data, neglecting the analysis of networks across diverse scales and dimensions. Websites offer a novel platform for companies to exhibit their products and services, and the utilization of hyperlink data better captures the dynamics of innovative cooperation. Thus, to attain a more realistic and precise comprehension of China’s technology enterprise cooperation networks, enhance the understanding of intra-city and cross-border cooperation within innovation networks, and offer more scientific guidance to cities in enhancing their innovation capabilities by investigating the factors influencing innovation scenarios and the mechanisms of their interactions, this study constructs an innovation network based on the hyperlink data extracted from Chinese science and technology enterprises’ websites in 2022. It explores the network’s inherent characteristics and spatial patterns across multiple dimensions and scales. Additionally, it employs GeoDetector to analyze the driving factors behind the heterogeneity of city quadrants across each dimension. The findings suggest the following: (1) Evident polarization of innovation capability exists, with a more pronounced differentiation of cities between high capability zones. (2) Contrary to the conventional notion of geographical proximity, cross-region website cooperation prevails, with cross-provincial cooperation being more prevalent than intra-provincial cross-city cooperation. (3) Enterprise cooperation tends to align with partners of similar scale, and small and medium-sized enterprises primarily engage in internal cooperation, primarily concentrated in second and third-tier cities. (4) Cities with high degree centrality and structure holes are primarily located in the construction areas of Chinese urban agglomerations, while those with low degree centrality and structure holes are situated near double-high cities. (5) The spatial heterogeneity of innovation networks across the four dimensions is primarily influenced by STI, while cooperation intensity and innovation capacity dimensions are strongly influenced by traffic capacity. The intra- and inter-city cooperation intensity dimensions are significantly impacted by administrative grade, and the enterprise scale and network location dimensions are most affected by the level of digital infrastructure. Full article

(1) Introduction: Syphilis is a sexually transmitted infection (STI) that constitutes a serious public health problem in Brazil and worldwide; (2) Methods: This was a descriptive and exploratory study that sought to analyze and compare the characteristics of Brazilian health systems with a new platform (Salus) developed by the Laboratory of Technological Innovation in Health in the scope of notification and management of disease data, including syphilis. In addition, this analysis aimed to assess whether Salus fully meets the necessary data management fields and can be indicated as a tool to improve health management in the context of syphilis in Brazil. (3) Results: In this study, the Salus functionalities were demonstrated and compared with the current Brazilian systems by discovering the existing gaps in the evaluated systems. The gaps found may explain the delay in meeting demands, the difficulty of making routine therapeutic follow-ups, in addition to interference with the vital purpose of follow-up in the epidemiological surveillance of diseases. As a result, Salus demonstrates functionalities that surpass all others and meet case management demands in a superior way to the systems currently used in the country. (4) Conclusions: The Brazilian health information systems related to the response to syphilis do not fulfill the purpose for which they were developed. Instead, they contribute to the fragmentation of health data and information, delays in diagnosis, incomplete case management, and loss of data due to inconsistencies and inadequate reporting. In addition, they are systems without interconnection, which do not articulate epidemiological surveillance actions with primary health care. All these factors may be obscuring accurate data on syphilis in Brazil, resulting in high and unnecessary public spending and late care for users of the Unified Health System (SUS). Full article

A firm’s sustainable technological innovation (STI) is an important strategy to cope with the global challenges of the climate emergency and resource constraints. To encourage firms to pursue sustainable innovation, the government put its efforts into designing a proper environmental policy (EP). According to Porter’s hypothesis, a well-designed and flexible EP will advance the pace of a firm’s innovation. This paper argues that a flexible EP portfolio combining market and non-market-based EP instruments may affect a firm’s STI. Market-based EP instruments are cost-effective and consistent from a long-term view, whereas non-market-based EP instruments are more forceful and effective in the short term. Hence, these two kinds of EP instruments could complement each other. Furthermore, technical executives in top management teams will moderate the relationships between EP instruments and firms’ STI. Data analysis results of 618 Chinese public firms, who constantly participated in R&D activities during 2015–2019, supported these hypotheses. Contributions to EP and firm innovation theory, as well as suggestions for policymakers and firms’ top management teams, are discussed. Full article

This study aims to empirically investigate the effect of Science, Technology, and Innovation Official Development Assistance (STI ODA) on the innovative capacity of developing countries. Particularly, this study attempted to examine the moderating effects of R&D investment and its effect on innovative capacity. To do this, a panel fixed model analysis was carried out with ODA and macroeconomic data on 84 developing countries from 2002 to 2018. The findings indicated that STI ODA was found to have no direct positive effect on innovative capacity. However, it had a positive effect on innovative capacity when the moderating effect of R&D investment was significant and when the proportion of R&D investment increased. The findings of this study serve as a guide for policymakers in terms of having better understanding of the relationship between STI ODA, R&D investment, and innovative capacity. Hence, policy makers and practitioners are able to design a good policy to be adopted such that absorptive capacity should be prioritized for STI ODA to be effective in helping developing countries to escape poverty and achieve sustainable development goals. To the best of the authors’ knowledge, this paper is the first of its kind to analyze the moderating effect of R&D investment on the relationship between STI ODA and innovative capacity in a developing country context. Full article

The coupling of and coordination between science and technology innovation (STI) and sustainable development (SD) is a basic requirement for Anhui Province’s economic high-quality development. According to panel data of 16 prefecture-level cities in Anhui Province from 2010 to 2021, the entropy method was applied to quantify the comprehensive development level of the two systems. The models of coupling coordination degree, grey GM (1, 1), and ARIMA prediction were constructed to analyze the spatiotemporal dynamic evolution features of the two systems’ coupling coordination. In the time series, the two systems’ comprehensive development showed a steady increase, a high level of coupling, and an increasing overall trend of coupling coordination. Moreover, the two systems’ coupling and coordination levels show the gradient spatial differentiation characteristics of “central > east > west.” The prediction shows that the two systems’ coupling coordination degree exhibits a monotonic increasing trend and reaches the optimal coupling coordination state around 2030. This study provides a decision-making reference for the implementation of the innovation-driven development strategy of Anhui Province. Full article

This research aims to identify typologies of companies willing to cooperate with universities to foster knowledge co-creation and ease knowledge transfer to students within courses, training, communities of practises, etc., regardless of the business sector they are active in. To implement the research scope, we rely on the qualitative comparative analysis method (QCA). Interactions between causal factors within the university–industry relations, and knowledge co-creation have been examined. The results obtained indicate two typologies. Type 1 includes companies oriented towards supporting interactions with universities based on education, research, student placements, training, and community services such as consultancy, and product development. These acknowledge both the necessity of creating platforms to establish more ties with universities and the importance of alumni connections to develop effective campus management. Type 2 includes companies that are not interested in understanding or supporting the mission of universities in society, not developing ties with universities, and generating only a superficial interaction, which hinders their involvement in the creation of knowledge with universities. From a managerial perspective, this paper highlights the relationship between universities and industry and how this could contribute to increased resilience for a society facing unexpected challenges, such as the global crisis related to COVID-19 and the present state of international political instability. Full article

The sustainable development of human society and economy needs the support of senior talents. Postgraduate teaching is one of the crucial components of higher education, and the priority method to cultivate senior talents. The 7th United Nations STI Forum in 2022 will focus on open science and postgraduate teaching; the theme of the forum is “While comprehensively implementing the 2030 Agenda for Sustainable Development, strengthen science, technology, and innovation, and promote the world’s recovery from the COVID-19 pandemic”. Therefore, the analysis of the field of postgraduate teaching is of great theoretical and practical significance to the cultivation of postgraduate students, the research of researchers, and the management of postgraduate teaching by the education sector. This research has carried out a bibliometric analysis to better obtain the knowledge structure in the field of postgraduate teaching and research, and help other researchers obtain the characteristics of the field of postgraduate teaching and research. VOSviewer and CiteSpace are used to analyze 4816 scientific core collection articles related to postgraduate teaching. These publications are from the Web of Science database. The dates of the articles range from 1995–2022. This research intuitively introduces a systematic overview of postgraduate teaching literature research, covering a number of publications, major categories, the most significant nations, groups, publications, writers, significant literature, and academic trends. The goal of this article is to create a map of the postgraduate teaching knowledge structure, while also examining the research collaboration across organizations, authors, nations, and areas. For scholars and practitioners in the field of graduate education, objective advice and helpful ideas are given through the analysis and discussion of the data acquired. Full article