Promotion Of Innovation Research Articles

Portable neonatus incubator based on global positioning system

<p>The role of baby incubator is crucial in assisting premature babies to adjust to their new surroundings. However, the current baby incubator causes challenges when used for emergency first aid. The challenge is often because of its cumbersome size, which makes transportation to referral hospitals difficult. To address this issue, portable neonate incubator based on the global positioning system (GPS) was developed. The results of implementation testing showed that the incubator system effectively monitored longitude and latitude coordinates, as well as the temperature and humidity of the incubator room, and the body temperature of neonates. Weighing approximately 5.8 kg, this incubator was versatile, compatible with both AC and DC voltage power sources, and came equipped with a carrying bag for easy transportation by midwives or medical personnel. Consequently, this development marked an innovative advancement in neonate incubator medical equipment, facilitating the swift tracking of the neonate incubator's coordinate position in case of unexpected events on the way to the hospital.</p>

Single-chain A35R-M1R-B6R trivalent mRNA vaccines protect mice against both mpox virus and vaccinia virus

Mpox has spread to many countries around the world. While the existing live attenuated mpox vaccines are effective, advances in 21st century technologies now enable the development of vaccines with more specific antigens, clearer mechanisms, and more controllable side effects. We systematically evaluated the immunogenicity and protective efficacy of the A35R, M1R and B6R antigens of the mpox virus (MPXV). With these findings, we designed three single-chain trivalent mRNA vaccines (AMAB-wt, AMAB-C140S and AMB-C140S) by integrating the soluble regions of these antigens into single mRNA-encoded polypeptides based on their protein structures. Then, the immunogenicity and protective efficacy of these single-chain mRNA vaccines were evaluated in mice models against both VACV and MPXV. The three single-chain vaccines elicited neutralising antibodies that effectively neutralised both VACV and MPXV. The single-chain vaccines or cocktail vaccine containing mRNAs encoding soluble antigen (sA35R+sM1R+sB6R) exhibited 100% or 80% protection against a lethal dose of VACV challenge, while the cocktail of full-length antigens (A35+ M1+ B6) and the live attenuated vaccine, VACV Tian Tan (VACV-VTT), completely failed to protect mice. Moreover, the single-chain vaccines significantly reduced viral load in the lungs and ovaries of MPXV-challenged mice. Compared with the cocktail vaccines, our single-chain designs demonstrated similar or superior immunogenicity and protective efficacy. Importantly, the simplicity of the single-chain vaccines enhances both the controllability and accessibility of mpox vaccines. We believe these single-chain vaccines qualify as the next-generation mpox vaccines. National Natural Science Foundation of China and Youth Innovation Promotion Association of the CAS.

Advantages of Big Data Analysis and AI Technology in Data Collecting And Processing of Preventive Maintenance

In recent years, the emergence of Cyber-Physical systems (CPS), big data, cloud computing, and industrial wireless networks have promoted the development of Industry 4.0. Intelligent manufacturing systems are the leaders of this change. In smart manufacturing, the emphasis will be placed on using technologies such as big data analytics, cloud computing, edge computing, and artificial intelligence (AI). The advantages of new technologies are significantly reflected in the comparison of preventive maintenance and traditional maintenance based on intelligent technology: preventive maintenance significantly reduces the cost of prevention and, at the same time, dramatically improves the accuracy and timeliness of maintenance, bringing inestimable value to intelligent manufacturing. This paper will analyze new technologies’ innovative advantages and technical prospects through big data analysis and specific application scenarios of AI technology in preventive maintenance. Firstly, in data acquisition, this paper examines the architecture of preventive maintenance systems based on big data. Then, it analyzes the composition of the data pipeline: in the realization of data collection and processing in the field of cloud computing and edge computing, and the aspect of data processing, it discusses the participation of AI technology in data understanding and processing and the unprecedented changes it brings.

Mathematical Modeling of Demand and Supply: Analyzing Corn Market Equilibrium

This article offers a comprehensive analysis of the current state and future development trends of the corn industry, with a specific focus on its significance within China’s agricultural sector. As one of the country’s most important grain crops, corn plays a crucial role in various sectors including animal feed, human food, and as a key raw material in industrial applications. Over recent years, the corn market in China has witnessed substantial fluctuations in both supply and demand, driven by a combination of factors such as extreme weather events, shifts in trade policies, and other external influences. The Chinese government has responded to these challenges by implementing a range of measures aimed at bolstering the industry, including policy directives, financial incentives, and enhanced regulatory oversight. Additionally, the promotion of technological innovation has been identified as a critical component in improving efficiency and productivity within the sector. Looking forward, the corn industry is poised for more stable and sustainable growth, driven by deeper integration within the industry and increased international collaboration. These developments are expected to solidify the industry’s role not only within China but also in the global agricultural economy, ensuring its continued contribution to both national food security and economic development.

Exploring the impact on contact adhesion layer properties in numerical simulations.

This paper presents a comprehensive investigation into the impact of key parameters on contact adhesion layer properties using numerical simulations, addressing fundamental questions in contact mechanics. Aiming to explore interfacial penetration and contact pressure dynamics between a wavy punch and an adhesive-coated body, the study focuses on the influence of adhesive layer thickness, elasticity modulus, and punch geometry on mechanical behavior. The study includes the application of Green's function to address deficiencies in existing models, revealing how contact stiffness, influenced by the flexibility relationship between the coating and substrate, affects the size of the contact area. Finally, conclusions are drawn that adjusting coating factors can induce full contact conditions. Quantitative analysis shows a 2.23-fold increase in load-bearing capacity with a 2 mm increase in adhesive layer thickness, and a 23-fold increase with a toughness ratio rise from 0.1 to 5. These findings are recommended for optimizing adhesive layer properties, contributing to advancements in materials science and innovation.

9.B. Scientific session: Promoting health in the digital age: a room to improve health literacy and digital health literacy?

Abstract The workshop aims to explore innovative approaches to promoting health literacy and digital health literacy and their impact on individual and community health outcomes at different stages of life. This initiative is driven by the recognition that digital platforms and tools offer unprecedented opportunities to improve population health through health education and behavior change. The workshop will feature a dynamic and interactive format starting from plenary sessions in which speakers will provide insights into digital health promotion best practices and their outcomes, offering diverse perspectives. The added value of organizing this workshop lies in its comprehensive approach to integrating digital tools into health prevention strategies, particularly for addressing childhood smoking. By examining innovative digital interventions, the workshop provides a platform for sharing insights and strategies that leverage technology to promote healthier lifestyles among youth. This is increasingly pertinent as digital platforms become central in the daily interactions of young people. The coherence between the presentations revolves around the theme of enhancing digital health literacy as a preventive measure against health issues. The first presentation sets the stage by exploring digital tools that educate and engage young people about the dangers of smoking. The subsequent session builds on this by assessing the current state of digital health education and literacy, emphasizing the need for curriculum integration and better training for educators to support these initiatives effectively. Finally, the meta-analysis presentation ties everything together by evaluating the effectiveness of these digital interventions across various demographics, offering evidence-based recommendations for tailoring health literacy programs to diverse needs. Together, these presentations form a cohesive narrative on the critical role of digital literacy in health prevention, illustrating a clear pathway from educational content to educational infrastructure, and culminating in broad-based intervention strategies that can be adapted to different settings and populations. This coherence enhances the workshop’s impact, providing attendees with a well-rounded understanding of how digital tools can be harnessed to foster long-term health improvements from an early age. Live Q&A sessions will encourage dialogue between speakers and attendees, enhancing the learning experience. By combining expert knowledge with interactive discussions, the workshop aims to share insights needed to implement effective digital health promotion strategies. Key messages • The role of health literacy and digital health literacy in improving health outcomes demands that the efficacy of the most effective strategies be evaluated. • Digital tools offer opportunities for innovative health promotion approaches and tools.

Effect of Drilling Parameters and Tool Diameter on Delamination and Thrust Force in the Drilling of High-Performance Glass/Epoxy Composites for Aerospace Structures with a New Design Drill

Real service requirements of the assembly performance and joining properties of design components are critical for composite usage in the aerospace industry. This experimental study offers a novel and comprehensive analysis of dry drilling optimization for glass-reinforced, high-performance epoxy matrix composites used in aerospace structures, focusing on thrust force and delamination. The study presents a first-time investigation into the combined effects of spindle speed (1000, 2250, 4000 and 5750 rpm), feed rate (0.2, 0.4, 0.6 and 0.8 mm/rev) and tool diameter (3 and 5 mm) using a custom-designed drill tool specifically developed for this application, filling a gap in the current literature. By employing the Taguchi design of experiments, the study identified that medium spindle speeds (2250–4000 rpm), lower feed rates (0.2 mm/rev) and smaller tool diameters (3 mm) provided optimal conditions for minimizing thrust force and delamination. These results present actionable insights into improving the structural integrity and performance of drilled aerospace-grade composite components, offering innovative advancements in both the aerospace and defense industries.

Dynamic interactions among exchange rate, natural gas demand, production in manufacturing and battery industry export – evidence from Hungary

In the context of the current global economic transformation, the rapid rise of the electric vehicle industry has made the battery industry a new focus of competition among countries. Despite its relatively small economic and demographic size, Hungary has garnered significant academic interest by emerging as the world’s third-largest battery producer in 2021. The study employed a dynamic vector autoregressive (VAR) model to determine that fluctuations in the Hungarian exchange rate have a notable immediate influ-ence on exports in the battery business，which suggests that changes in exc-hange rates directly affect international competitiveness. The battery sector is experiencing a progressive increase in the influence of fluctuations in na-tural gas demand, particularly in terms of their impact on production costs and supply chains. The battery industry has had substantial advancements in technological innovation and production efficiency as a direct result of the expansion in manufacturing production. And Hungary’s total industrial deve-lopment is significantly influenced by the long-term effects of export expan-sion in the battery industry. JEL Codes: L62, E44, O14, C22

The Impact of Intellectual Property Protection on Technological Innovation - A Literature Review Incorporating New Quality Productive Forces in the Chinese Economy

Abstract: This article explores the impact of intellectual property (IP) protection on technological innovation, particularly concerning Chinas recent emphasis on high-quality productivity. The paper reviews existing literature, discussing the differences in the effects of IP protection between developed and developing countries. This literature review shows that strengthened IP protection has a positive impact on technological innovation in China, but with a nonlinear relationship. The concept of new quality productive forces focuses on achieving high levels of quality and promoting disruptive technology innovation. Combining this concept, this article analyzes the influence of IP protection on its development and provides specific policy recommendations. Future studies should focus on empirical analysis to assess the actual effectiveness of IP protection within the existing policy framework. Appropriate evaluation systems are suggested to establish, and IP laws should be gradually improved so as to effectively facilitate Chinas technological innovation and industrial advancement.

Machine-guided design of cell-type-targeting cis-regulatory elements.

Cis-regulatory elements (CREs) control gene expression, orchestrating tissue identity, developmental timing and stimulus responses, which collectively define the thousands of unique cell types in the body1-3. While there is great potential for strategically incorporating CREs in therapeutic or biotechnology applications that require tissue specificity, there is no guarantee that an optimal CRE for these intended purposes has arisen naturally. Here we present a platform to engineer and validate synthetic CREs capable of driving gene expression with programmed cell-type specificity. We take advantage of innovations in deep neural network modelling of CRE activity across three cell types, efficient in silico optimization and massively parallel reporter assays to design and empirically test thousands of CREs4-8. Through large-scale in vitro validation, we show that synthetic sequences are more effective at driving cell-type-specific expression in three cell lines compared with natural sequences from the human genome and achieve specificity in analogous tissues when tested in vivo. Synthetic sequences exhibit distinct motif vocabulary associated with activity in the on-target cell type and a simultaneous reduction in the activity of off-target cells. Together, we provide a generalizable framework to prospectively engineer CREs from massively parallel reporter assay models and demonstrate the required literacy to write fit-for-purpose regulatory code.

Construction and practice of a novel pharmaceutical health literacy intervention model in psychiatric hospital.

Pharmaceutical health literacy intervention (PHLI) plays a crucial role in influencing patients' medical decision-making, particularly concerning medication use. However, PHLI has not been widely implemented in China. This study aims to develop a novel PHLI model within a psychiatric hospital setting and evaluate its effectiveness. A PHLI model encompassing four modes-covering inpatients, outpatients, Internet+ and community-was established at The Affiliated Mental Health Center of Jiangnan University. The model's operation was detailed, and its performance data from 2022 and 2023 were evaluated. In 2022 and 2023, a total of 636 PHLI cases were reported. Of these, 386 cases (60.69%) were identified through the inpatient mode. The proportion of PHLI delivered via inpatient and Internet information subscription modes gradually increased, while interventions through other methods decreased. The age group of 18-30 accounted for 21.97% of cases, with 116 instances reported. Various types of PHLI were provided, including adverse reactions (18.87%), dosage and administration (11.64%), and therapeutic drug monitoring (9.43%). In addition, intervention strategies primarily focused on adverse reaction identification (10.22%), interpretation of pharmaceutical reports (7.23%), and routine examination reminders (6.45%). The PHLI model developed at our hospital offers an effective approach to health literacy intervention and represents an innovation advancement in pharmaceutical health literacy management. It can also serve as a reference framework for other hospitals.

Investigating the factors affecting sustainability of ready mix concrete plants: case study of Pune region

Construction industry plays a significant role in the economic development of the nation. Due to site and other constraints, concreting is preferred by ready mix concrete (RMC) plants. It is very well-known fact that the construction industry immensely contributed for CO2 emission mainly from cement-based materials. One of the way to achieve smart city objective to effectively manage ready mix concrete plants. While opting for RMC over site mixing offers various advantages. In this study, key factors governing the sustainability and energy consumption of RMC plants are identified. This study investigates the efficiency and sustainability of RMC production in Maharashtra, suggesting that its efficiency hinges on various factors. Through a constructivist perspective, the research examines twelve RMC plants in Pune mainly and other parts of Maharashtra, finding that power supply, plant output, and capacity require sustainability. While raw material supply is deemed sustainable, management methods and product control were found lacking. The study identifies challenges affecting demand, such as regulatory issues, management issues and technological limitations. The conclusion emphasizes the need for alternative and sustainable power sources, skilled labor, and improved business processes to enhance RMC production efficiency in Maharashtra, recommending measures like waste reuse and innovative advancements. This study will help the stakeholders in prioritizing the resources and process towards more sustainable way.

Nurses as UN champions: Increasing nursing presence and influence at the United Nations.

Representing half of the global health workforce, nurses are critical to health promotion, disease prevention, and the economic and social needs of populations. However, nursing expertise is underutilized in the UN System, and nurses are underprepared for roles in policy to influence global health and sustainable development. Innovative education strategies are necessary to address the sidelining of nursing expertise in these spaces and build nursing literacy in shaping global policy. This quality improvement project aimed to develop and evaluate a model to build a USA-based school of nursing's literacy and engagement with the United Nations (UN) System. A Doctor of Nursing Practice (DNP) student developed an innovative educational model, the United Nations Essentials for Global Nursing Leadership, in partnership with a school of nursing (SON), to build faculty knowledge and skills on initiating and sustaining bidirectional engagement with the UN. In 2023, SON faculty piloted the model, and pre-/post-intervention survey data were utilized for improvement. Participants reported increased knowledge, awareness, and confidence related to the UN System and their ability to engage as policy influencers, health diplomats, and global citizens. In total, 100% of participants volunteered to hold the role of UN champion for the SON. This innovative model advances nursing knowledge and coherence in the UN System and key areas of policy, diplomacy, and global governance for meaningful UN engagement. CONCLUSION AND IMPLICATIONS FOR NURSING, HEALTH, AND SOCIAL POLICY: Models that invest in closing the global nursing leadership preparation gap can raise the profession's visible UN presence and strategic policy influence at a critical time for people and theplanet.

English Vocabulary Learning System Web Based Using Rapid Application Method

English lexicon dominance is one of the imperative viewpoints in dialect learning at the Kindergarten (TK) level. Be that as it may, ordinary strategies utilized in lexicon learning are frequently less curiously and less successful in spurring understudies to memorize. The foundation of this think about is the require for a more interactive learning framework that's in understanding with innovative advancements to back the educating and learning handle at TK Al Amanah. The issue confronted is how to plan a lexicon learning framework that can increment students' intrigued and understanding successfully. As a arrangement, this consider proposes the improvement of a web-based English lexicon learning framework utilizing the Fast Application Advancement (RAD) strategy. The RAD strategy was chosen since it is able to create quick models and include clients in each organize of improvement, so that the coming about system can be more in agreement with the requirements of clients, in this case understudies and instructors at TK Al Amanah. The framework developed includes highlights such as intelligently works out, advanced flashcards, and tests planned to create it simpler for understudies to memorize and get it lexicon. The investigate strategy includes needs examination, framework plan, model advancement, testing, and assessment. The trial comes about appear that this framework isn't only able to extend understudy inspiration and interest, but too gives comfort for instructors in conveying learning materials. Hence, this web-based learning framework offers an innovative solution that can bolster the method of educating English lexicon at the kindergarten level

SLC7A9 suppression increases chemosensitivity by inducing ferroptosis via the inhibition of cystine transport in gastric cancer

SLC7A9 is responsible for the exchange of dibasic amino acids and cystine (influx) for neutral amino acids (efflux). Cystine/cysteine transport is related to ferroptosis. Sanger sequencing detected TP53 status of cancer cells. Transcriptomic sequencing and untargeted metabolome profiling were used to identify differentially expressed genes and metabolites, respectively, upon SLC7A9 overexpression. CCK8, cell clonality, and EdU assays were used to observe cell proliferation. Cystine probes, glutathione (GSH) probes, and lipid ROS probes were used to examine cystine, GSH, and lipid ROS levels. 13C metabolic flow assays were used to monitor cellular cystine and GSH metabolism. Patient-derived organoids (PDO), immunocompetent MFC mice allograft models and patient-derived xenograft (PDX) models were used to evaluate SLC7A9 impact on chemotherapeutic response and to observe therapeutic effect of SLC7A9 knockdown. Elevated SLC7A9 expression levels in gastric cancer cells were attributed to p53 loss. SLC7A9 knockdown suppressed the proliferation and increased the chemotherapy sensitivity of the cells. Chemotherapy was more effective in PDX and immunocompetent mice models upon SLC7A9 knockdown. Differentially expressed genes and metabolites between the SLC7A9 overexpression and control groups were associated with ferroptosis and GSH metabolism. SLC7A9 knockdown reduced cystine transport into cells, hampered intracellular cystine and GSH metabolic flow, decreased GSH synthesis, and increased lipid ROS levels in gastric cancer cells. Erastin was more effective at inducing ferroptosis in PDO and PDX models upon SLC7A9 knockdown. SLC7A9 promotes gastric cancer progression by acting as a suppressor of ferroptosis, independent of SLC7A11, which is negatively regulated by p53. This work was supported by National Natural Science Foundation of China, Innovation Promotion Program of NHC and Shanghai Key Labs SIBPT, and Shanghai Academy of Science & Technology.

Achieving collaborative pollutant and carbon emissions reduction through digital governance: Evidence from Chinese enterprises

Under China's dual carbon goals, it is imperative for enterprises to effectively reduce carbon emissions while achieving pollutant reduction. This article explores the potential role of government-implemented digital governance in facilitating these objectives. Utilizing a quasi-natural experiment on digital governance, we established an analytical framework to thoroughly examine how digital governance can help Chinese enterprises realize synergistic effects in pollution control and carbon reduction. Our study reveals that digital governance significantly reduces enterprises' emissions of carbon dioxide and pollutants, with emission intensities of the carbon dioxide, air pollutant and water pollutant being decreased by approximately 6.9%, 7.3%, and 7.0%, respectively. These reductions are primarily driven by improvements in energy efficiency, the promotion of green innovation, digital transformation, and enhanced role of media. However, it is important to note that digital governance also negatively impacts overall corporate productivity and widens the digital divide between large and small-to-medium enterprises. The research results have practical significance for promoting the achievement of emission reduction goals and sustainable development for enterprises.

Contribution of Artificial Intelligence (AI) to Code-Based 3D Modeling Tasks

The rapid advancement of technology and innovation is also impacting education across different levels. The rise of Artificial Intelligence (AI) is beginning to transform education in various areas, from course materials to assessment systems. This requires educators to reconsider how they evaluate students’ knowledge. It is crucial to understand if and to what extent assignments can be completed using AI tools. This study explores two hypotheses about the risks of using code-based 3D modeling software in education and the potential for students to delegate their work to AI when completing assignments. We selected two tasks that students were able to successfully complete independently and provided the same amount of information (both textual and image) to AI in order to generate the necessary code. We tested the widely used ChatGPT and Gemini AI bots to assess their current performance in generating code based on text prompts or image-based information for the two models. Our findings indicate that students are not yet able to entirely delegate their work to these AI tools.

A relay race or an ironman? A systematic review of the literature on innovation in the mining sector

As global demand for minerals and metals surges, the mining industry is faced with the triple challenge of finite resources, societal resistance, and environmental considerations. To address these challenges the mining sector is relying on innovation and technological advancements to enable exploitation of so far inaccessible deposits, minimize energy consumption, and improve sustainability. This study presents a systematic review of the literature on innovation in mining and the unique management approach being adopted to respond to the above challenges. From an initial corpus of 4059 scientific articles, a reproducible process filtered out 222 documents, published between 1996 and 2023. The analysis reveals that the literature on innovation in the mining industry, predominantly qualitative and exploratory in nature, is showing a shift towards empirical validation using advanced quantitative methods. Mining innovation appears to be shaped by the industry's inherent features such as a conservative culture, market volatility, emphasis on productivity, and profitability. While the industry somewhat risk-averse approach favours stability and specialization which could hamper innovation, its simultaneous focus on productivity encourages innovation to achieve cost reductions, enhanced processes, and implementation of new technology. However, the uniformity of ore and the position of miners in the value chain is not favorable to product innovation and the focus tends to be on —mainly supplier-led— process innovation. The review also shows the potential benefits of non-technological innovations, including marketing and organizational changes although these are infrequent. The study concludes by addressing conceptualizations of innovation and mining management and highlighting gaps in research that focuses on regions, minerals, and innovation types. It also discusses the knowledge management implications in this context.

Enhanced enantioselective separation of racemic menthol via reverse-phase high-performance liquid chromatography: Method development and computational insights for pre-screening

A robust and efficient enantioselective separation of racemic menthol was achieved on a standard C18 column with reverse-phase high-performance liquid chromatography (RP-HPLC) and UV detector. (R)-α-hydroxy-4-methylbenzeneacetic acid was utilized as the pre-column derivatization reagent. The impact of mobile phase composition on diastereomer selectivity was thoroughly investigated, resulting in a high resolution of 2.11 under optimized conditions. The method was rigorously validated for linearity, precision, accuracy, limit of detection (LOD) and limit of quantification (LOQ). Notably, a separation pre-screening mechanism (SPM) and a prediction model was developed based on density functional theory (DFT) studies. This model elucidated the relationship between molecular polarity differences (△MPI) and chromatographic behavior, facilitating the interpretation and prediction of racemic menthol resolution with various chiral derivatization reagents. The present work not only presents an efficient and economical approach for menthol enantiomeric separation, but also offers valuable insights for the innovative design and advancement of chromatographic methodologies for a wide array of chiral enantiomers.

The role of natural resources rent, trade openness and technological innovations on environmental sustainability – Evidence from resource-rich african nations

Environmental sustainability is fundamental in ensuring the needs of current generation are not met through exhausting the resources available to meet the needs of the future generations. Nature provides key resources required as factors of production in the production of goods and services. Therefore, it is important to maintain and protect the environment, ensuring that these resources do not deplete. This study investigates the role of technological innovations, trade openness, economic growth and natural resource rents in maintaining environmental sustainability. The data of the top ten natural resource-rich African countries are used for the time ranging from 1996 to 2023. The main novelty of the research is that it considers countries with abundance natural resources in ascertaining the influence of natural resources on environmental sustainability; hence, ascertaining the existence of resource curse in developing nations with abundance natural resources. Data is analysed with the Methods of Moments Quantile Regression that present robust results when heterogeneity and cross-sectional dependency are present. We present that technological innovations, trade openness, renewable energy and governance promote environmental sustainability in these resource-rich nations of Africa. Technological innovations fosters environmental sustainability in the long and short term. We also present that economic growth and natural resource rents worsen the quality of the environment, through raising the emission of carbon. Specifically, natural resource rents significantly raises the emission of carbon in the long term. Policies proposed advocates for the advancement in the rule of law of nations and the promotion of technological innovations.