Digital economy, technological innovation, and sustainable development.

This paper examines the impact of the digital economy on sustainable development, using panel data from cities at the prefecture level and above in China from 2011 to 2019. The results indicate: (1) The digital economy is conducive to boosting growth, increasing employment, reducing energy consumption, and cutting emissions, thereby promoting sustainable development. These findings prove robust. (2) Mechanism test outcomes reveal that, from the perspective of technological innovation, the digital economy can promote sustainable development through increasing R&D input and enhancing innovation output. (3) An extended analysis of the risk of a digital "divide" demonstrates that "dividend" of the digital economy is primarily manifests in spurring economic growth, enhancing energy efficiency, and strengthening environmental protection in lagging regions, while the digital "divide" effect is manifested in the stronger employment stimulating effect of developed regions versus backward areas. The results of this study not only enrich the relevant research system, but also provide empirical evidence to support accelerating digital transformation, strengthening technological innovation governance, and advancing sustainable development.

Green innovation and enterprise digital transformation: Escape from the "dilemma" of development and governance choices.

The digital economy is now the expected norm for economic development, warranting strategic importance for enterprise digital transformation. Nonetheless, enterprises have a lengthy journey to embark upon for digital transformation. On the one hand, resource-based demands pose a significant challenge due to the development characteristics of the initiative; on the other hand, excessive emphasis on economic gains may result in severe environmental issues. Therefore, this paper examines whether green innovation, which combines environmental and economic benefits, can effectively address the above dilemma. The study includes all A-share listed companies from 2010 to 2020 as the research sample, and empirically investigates the impact of green innovation on enterprise digital transformation and its mechanism based on resource-based view. The study concluded that (i) green innovation has a significant positive impact on corporate digital transformation performance, exhibiting asymmetric effects. The robustness tests confirmed the validity of the findings. (ii) Enterprises that actively engage in green innovation can effectively reduce their financial constraints, enhance their operational capacity, and enable the efficient allocation of resources, thereby promoting digital transformation within the enterprise. (iii) There is a regional imbalance in the conversion of green innovation performance into economic performance. The aforementioned results offer fresh insights for investigating the connection between green innovation and digital transformation. Additionally, these findings hold significant implications for the discourse on the synergistic advancement of the environment and economy.

The impact of technological innovation on the green digital economy and development strategies.

To investigate the interplay among technological innovation, industrial structure, production methodologies, economic growth, and environmental consequences within the paradigm of a green economy and to put forth strategies for sustainable development, this study scrutinizes the limitations inherent in conventional deep learning networks. Firstly, this study analyzes the limitations and optimization strategies of multi-layer perceptron (MLP) networks under the background of the green economy. Secondly, the MLP network model is optimized, and the dynamic analysis of the impact of technological innovation on the digital economy is discussed. Finally, the effectiveness of the optimization model is verified by experiments. Moreover, a sustainable development strategy based on dynamic analysis is also proposed. The experimental results reveal that, in comparison to traditional Linear Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Naive Bayes (NB) models, the optimized model in this study demonstrates improved performance across various metrics. With a sample size of 500, the optimized model achieves a prediction accuracy of 97.2% for forecasting future trends, representing an average increase of 14.6%. Precision reaches 95.4%, reflecting an average enhancement of 19.2%, while sensitivity attains 84.1%, with an average improvement of 11.8%. The mean absolute error is only 1.16, exhibiting a 1.4 reduction compared to traditional models and confirming the effectiveness of the optimized model in prediction. In the examination of changes in industrial structure using 2020 data to forecast the output value of traditional and green industries in 2030, it is observed that the output value of traditional industries is anticipated to decrease, with an average decline of 11.4 billion yuan. Conversely, propelled by the development of the digital economy, the output value of green industries is expected to increase, with an average growth of 23.4 billion yuan. This shift in industrial structure aligns with the principles and trends of the green economy, further promoting sustainable development. In the study of innovative production methods, the green industry has achieved an increase in output and significantly enhanced production efficiency, showing an average growth of 2.135 million tons compared to the average in 2020. Consequently, this study highlights the dynamic impact of technological innovation on the digital economy and its crucial role within the context of a green economy. It holds certain reference significance for research on the dynamic effects of the digital economy under technological innovation.

Innovaciones tecnológicas en la litotricia de ondas de choque / Technological innovations in shock wave lithotripsy

Introducción Desde 1980, la litotricia extracorpórea por ondas de choque (SWL) ha sido empleada en el tratamiento de las litiasis urinarias, ofreciendo alternativas no invasivas a las técnicas quirúrgicas. Aunque limitada por tamaño y ubicación de las piedras, su efectividad se ve afectada por varios factores. A pesar de la evolución de técnicas quirúrgicas, la SWL podría mantener su relevancia con nuevos avances. Nuestro objetivo es revisar la bibliografía existente para recopilar los mayores avances hasta la fecha en el tratamiento extracorpóreo de la litiasis. Material y métodos Se ha realizado una revisión bibliográfica no sistemática, entre los años 2017 a 2023 para obtener 26 artículos sobre 3 tipos de innovación tecnológica en litotricia extracorpórea: Burst Wave Lithotripsy (BWL), Histotripsy y Microbubble Lithotripsy (ML). Resultados La BWL emplea ondas sinusoidales ultrasónicas de menor y mayor frecuencia que la SWL tradicional. Su mecanismo de acción genera una fragmentación de mayor calidad (finos fragmentos) en lugar de generar fuerzas tensionales como en la SWL tradicional que generan líneas de fractura que dan lugar a fragmentos de mayor tamaño. Resultados en cerdos y humanos han mostrado fragmentación efectiva con buen perfil de seguridad. Basada en la tecnología de ultrasonido focalizado de alta intensidad (HIFU), la histotricia fragmenta tejido empleando fenómenos de cavitación. Han mostrado buenos resultados in vitro, aunque la formación de microburbujas que se interponen entre la litiasis y las ondas de ultrasonido son un impedimento para el progreso de esta técnica. La ML combina microburbujas y ultrasonido para fragmentar litiasis con seguridad y eficacia. Resultados in vitro y en cerdos son prometedores. Puede optimizar tratamientos y reducir niveles energéticos. Conclusiones La innovación tecnológica no solo se está aplicando a técnicas endourológicas, sino también a la ESWL. ... (AU)

Introduction Since 1980, extracorporeal Shock Wave Lithotripsy (SWL) has been employed in the treatment of urolithiasis, offering noninvasive alternatives to surgical techniques. In addition to being limited by the size and location of the stones, its efficacy is influenced by several factors. Despite the advancement of other surgical techniques, SWL could maintain its position with new improvements. Our objective is to review the existing literature on the latest advances in the extracorporeal treatment of lithiasis. Material and methods A non-systematic literature review was carried out from 2017 to 2023 to obtain 26 articles on three different emerging technologies in extracorporeal lithotripsy: Burst Wave Lithotripsy (BWL), Histotripsy, and Microbubble Lithotripsy (ML). Results The BWL uses sinusoidal bursts of US waves delivered at lower and higher frequencies than conventional SWL. Its mechanism of action generates a higher quality fragmentation (fine fragments) instead of generating tensile stresses for stone fracture resulting in larger fragments, as in traditional SWL. Studies in pigs and humans have shown effective fragmentation with a good safety profile. Based on High Intensity Focused Ultrasound (HIFU) technology, histotripsy fragments tissue through cavitation. Good in vitro results have been shown, but the formation of microbubbles between the stone and ultrasound waves hinders the progress of this technique. Microbubble Lithotripsy (ML) combines microbubbles and ultrasound for safe and effective stone fragmentation. In vitro and pig results are promising. This technique can help optimize treatments and reduce energy levels. Conclusions Technological innovation is not only being applied to endourological techniques, but also to ESWL. New techniques such as BWL, histotripsy and ML are promising, with good results in the research phase. (AU)

Aplicación de las nuevas tecnologías en Atención Primaria en el control del paciente con sobrepeso u obesidad y factores de riesgo cardiovascular / Application of new technologies in Primary Care to monitor overweight or obese patients with cardiovascular risk factor

El objetivo es evaluar un seguimiento telemático (web o aplicación [app]) para pacientes con sobrepeso/obesidad y otros dos factores de riesgo cardiovascular: hipertensión arterial (HTA), dislipemia, diabetes mellitus (DM), sedentarismo, consumo tabáquico. Diseño: es un estudio de intervención con asignación aleatoria al grupo intervención (web o app) y al grupo control. Emplazamiento: centros de salud rurales y urbanos, docentes y no docentes, del Sector Zaragoza I. Participantes: 261 personas con índice de masa corporal (IMC) > 25 kg/m2 y otros dos factores de riesgo. Intervenciones: seguimiento de 18 meses con puntos de corte al inicio, 1, 6, 12 y 18 meses. Las mediciones principales son peso, tensión arterial, consumo tabáquico, eventos cardiovasculares, calidad de vida y bioquímica. Resultados: el grupo control finalizó el estudio en mayor proporción (79% versus 14%). El grupo control consiguió una pérdida del 8% de la mediana de peso al año y el grupo intervención un 5%. A los 6 meses, el grupo control logró disminuir el 7% la tensión arterial sistólica y el 5% la diastólica. La hemoglobina glicosilada (HbA1c) descendió un 1% en el grupo control y un 0,5% en el grupo intervención (test de Wilcoxon: 10; p = 0,089). El colesterol de lipoproteínas de baja densidad (cLDL) del grupo control descendió 9 mg/dL, y el del grupo intervención, 7 mg/dl (test de Wilcoxon: 1.089; p = 0,018). El hábito tabáquico disminuyó en todos los grupos (test de Wilcoxon: 21; p = 0,036). El grupo control presentó mayor prevalencia de eventos cardiovasculares. La calidad de vida mejoró en todos los grupos (test Wilcoxon: 979; p = 0,041). Conclusiones: las/los pacientes que acuden al centro de salud para un seguimiento de peso consiguen mejores resultados que si el seguimiento se hace de forma telemática.(AU)

The aim was to evaluate remote assistance (Web or App) for overweight/obese patients with two extra cardiovascular risk factors: hypertension, dyslipidemia, diabetes, smoking, sedentary lifestyle. Design: intervention study using random assignment for Web Group and App Group. The App Group was subsequently selected. Location: urban and rural health centres, teaching and non-teaching centres, in the Zaragoza I health area. Subjects: 261 people with BMI> 25 Kg/m2 and two extra cardiovascular risk factors. Interventions: 18 months follow up, initial checkups and after 1, 6, 12 and 18 months. The primary endpoints were: weight, blood pressure, tobacco consumption, cardiovascular events, quality of life and blood tests. Results: The control group completed the study in a higher proportion (79% vs 14%). The control and intervention groups attained a loss of 8% in and 5% median weight per year, respectively. After 6 months, the control group managed to reduce systolic and diastolic blood pressure by 7% and 5%, respectively. Glycosidic haemoglobin was 1% and 0.5% lower in the control and intervention groups, respectively (Wilcoxon Test=10; P= 0.089). Both groups reduced tobacco consumption (Wilcoxon=21; P=0.03). The control group had a higher prevalence of cardiovascular events. Quality of life improved (Wilcoxon Test=979; P=0.041). Conclusion: Patients visiting health centres to monitor weight obtain better results than those remotely assisted.(AU)

Analysis of the spatial and temporal evolution process and development trend of innovation capability of Chinese sports industry.

The paper uses spatial panel data on the number of patents in the field of sports in each province from 2017-2022 to explore the spatial and temporal evolution process of the innovation capacity of China's sports industry and analyze its development trend based on theories related to economic geography, using exploratory spatial data analysis (ESDA) and Spatial-temporal correlation analysis research methods. The study shows that: 1. there is a large spatial regional disparity in the innovation capacity of China's sports industry, showing an obvious pattern of strength in the east and weakness in the west. 2. there is an obvious phenomenon of spatial agglomeration in the innovation capacity of China's sports industry and the agglomeration phenomenon in space is gradually increasing. 3. there is a spatial spillover effect in the innovation capacity of China's sports industry, and the inward spillover continues to strengthen mainly into Zhejiang, Fujian and Jiangsu provinces, while the outward spillover mainly goes to Guangdong, Hubei, Hebei, Hunan, Sichuan. Sports industry innovation capacity development put forward three suggestions: to promote the development of sports industry in the northwest region; to play the advantages of regional characteristics of sports industry; to accelerate the integration of neighboring regions to build the process. in order to help the high-quality development of sports industry.

Papers and patents are becoming less disruptive over time.

Theories of scientific and technological change view discovery and invention as endogenous processes1,2, wherein previous accumulated knowledge enables future progress by allowing researchers to, in Newton's words, 'stand on the shoulders of giants'3-7. Recent decades have witnessed exponential growth in the volume of new scientific and technological knowledge, thereby creating conditions that should be ripe for major advances8,9. Yet contrary to this view, studies suggest that progress is slowing in several major fields10,11. Here, we analyse these claims at scale across six decades, using data on 45 million papers and 3.9 million patents from six large-scale datasets, together with a new quantitative metric-the CD index12-that characterizes how papers and patents change networks of citations in science and technology. We find that papers and patents are increasingly less likely to break with the past in ways that push science and technology in new directions. This pattern holds universally across fields and is robust across multiple different citation- and text-based metrics1,13-17. Subsequently, we link this decline in disruptiveness to a narrowing in the use of previous knowledge, allowing us to reconcile the patterns we observe with the 'shoulders of giants' view. We find that the observed declines are unlikely to be driven by changes in the quality of published science, citation practices or field-specific factors. Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology.

Thyroid cancer under the scope of emerging technologies.

The vast majority of thyroid cancers originate from follicular cells. We outline outstanding issues at each step along the path of cancer patient care, from prevention to post-treatment follow-up and highlight how emerging technologies will help address them in the coming years. Three directions will dominate the coming technological landscape. Genomics will reveal tumoral evolutionary history and shed light on how these cancers arise from the normal epithelium and the genomics alteration driving their progression. Transcriptomics will gain cellular and spatial resolution providing a full account of intra-tumor heterogeneity and opening a window on the microenvironment supporting thyroid tumor growth. Artificial intelligence will set morphological analysis on an objective quantitative ground laying the foundations of a systematic thyroid tumor classification system. It will also integrate into unified representations the molecular and morphological perspectives on thyroid cancer.

Teaming: learning, competing, and innovating in the world of reproductive medicine.

Healthcare teams must be deliberately cultivated to reach their full potential. Shifting focus from individual performance to a team's collective competence allows for targeted and evidence-based interventions that support teamwork and improve patient outcomes. We reviewed essential concepts drawn from team science and explored the practical applications of teaming. Reproductive endocrinology and infertility healthcare providers play a pivotal role by teaching, modeling, and fostering teaming attitudes and behaviors. Through teaming, we can maximize our teams' ability to learn, innovate, compete with other teams, and thrive in today's healthcare environment.

Recommending blue ocean technologies for subcontractors: A framework based on business reports of prime contractors and patents.

Subcontractors depend heavily on their prime contractor and thus find it very risky to enter a new business on their own. This study proposes a framework for these subcontractors to develop blue ocean technologies related to their prime contractor. First, the primary technologies predicted to be promising are extracted from the business reports of the prime contractor. Sub-technologies are then selected through a patent-based search using keywords and International Patent Classification codes of the primary technologies. From them, blue ocean technologies are proposed by optimizing the weighted mean of the min-max normalized market value, degree of competition in the technology market, and subcontractors' potential technological capabilities for each sub-technology. This study shows that subcontractors can enhance their technology competitiveness by finding a low-risk blue ocean technology. Our empirical research on the subcontractors of a semiconductor firm identified technological patent fields for them to pursue. From our framework, subcontractors can identify blue ocean technologies by considering their prime contractor's future industrial areas and technologies of interest as well as their own technological capabilities. Furthermore, the prime contractors can gain the synergy effect of technology expansion through cooperation.