Innovative System Research Articles

Development and safety evaluation of an adaptive personalized speed guidance system for on-ramp merging in highway service areas

As autonomous driving and Vehicle-to-Everything (V2X) technologies evolve, the efficiency and safety of ramp merging in the highway service areas have become increasing critical. This study introduces a closed-loop feedback speed guidance system that accommodates individual driving styles, aiming to optimize merging behaviour, reduce traffic accidents, and enhance total traffic efficiency. The system dynamically adjusts the merging vehicle speeds by continuously monitoring their speed and location with variable steps to promote smoother merging. Moreover, this research also involves collecting naturalistic driving data from ramp merging scenarios, using the K-means clustering and point estimation method to recognize and analyse driving style characteristics, and integrating these styles into the developed closed-loop feedback speed guidance system. This approach results in personalized speed guidance curves tailored to different driving styles, facilitating more efficient mering. Additionally, the study conducts a Safety of the Intended Functionality (SOTIF) evaluation of this system using the System-Theoretic Process Analysis (STPA) method, which helps identify potential security risks and develop appropriate mitigation strategies to ensure the system’s safe and stable operation. The simulation results confirm that this innovative dynamic speed guidance system substantially improves traffic safety and efficiency in ramp merging areas.

Exploring Immersive Multimodal Virtual Reality Training, Affective States, and Ecological Validity in Healthy Firefighters: Quasi-Experimental Study.

Firefighters face stressful life-threatening events requiring fast decision-making. To better prepare for those situations, training is paramount, but errors in real-life training can be harmful. Virtual reality (VR) simulations provide the desired realism while enabling practice in a secure and controlled environment. Firefighters' affective states are also crucial as they are a higher-risk group. To assess the impact on affective states of 2 simulated immersive experiences in a sample of healthy firefighters (before, during, and after the simulation), we pursued a multivariate approach comprising cognitive performance, situational awareness, depression, anxiety, stress, number of previous adverse events experienced, posttraumatic stress disorder (PTSD) severity, and emotions. The efficacy and ecological validity of an innovative VR haptic system were also tested, exploring its impact on performance. In collaboration with the Portuguese National Fire Service School, we exposed 22 healthy firefighters to 2 immersive scenarios using the FLAIM Trainer VR system (neutral and arousing scenarios) while recording physiological data in a quasi-experimental study. Baseline cognitive performance, depression, anxiety, stress, number of adverse events, and severity of PTSD symptoms were evaluated. Positive and negative affective states were measured before, between, and after each scenario. Situational awareness, sense of presence, ecological validity, engagement, and negative effects resulting from VR immersion were tested. Baseline positive affect score was high (mean 32.4, SD 7.2) and increased after the VR tasks (partial η2=0.52; Greenhouse-Geisser F1.82,32.78=19.73; P<.001). Contrarily, mean negative affect score remained low (range 11.0-11.9) throughout the study (partial η2=0.02; Greenhouse-Geisser F2.13,38.4=0.39; P=.69). Participants' feedback on the VR sense of presence was also positive, reporting a high sense of physical space (mean score 3.9, SD 0.8), ecological validity (mean score 3.8, SD 0.6), and engagement (mean score 3.8, SD 0.6). Engagement was related to the number of previously experienced adverse events (r=0.49; P=.02) and positive affect (after the last VR task; r=0.55; P=.02). Conversely, participants reported few negative effects (mean score 1.7, SD 0.6). The negative effects correlated positively with negative affect (after the last VR task; r=0.53; P=.03); and avoidance (r=0.73; P<.001), a PTSD symptom, controlling for relevant baseline variables. Performance related to situational awareness was positive (mean 46.4, SD 34.5), although no relation was found to metacognitively perceived situational awareness (r=-0.12; P=.59). We show that VR is an effective alternative to in-person training as it was considered ecologically valid and engaging while promoting positive emotions, with few negative repercussions. This corroborates the use of VR to test firefighters' performance and situational awareness. Further research is needed to ascertain that firefighters with PTSD symptomatology are not negatively affected by VR. This study favors the use of VR training and provides new insights on its emotional and cognitive impact on the trainee.

Integration as innovation in healthcare systems.

Healthcare systems in Canada are under pressure and require change-the status quo is no longer fit for purpose, if it ever was. Innovation is often held up as a cure for what ails us, but shiny new things or novel technologies alone have not been enough. This article will explore the concepts of differentiation and integration as being important drivers in the evolution of living organisms, ecosystems, and complex human organizations. The implications of this deep pattern of systems change are essential to understanding the roles of specialization in medicine, and optionality in primary care. Specifically, overspecialization without attention to the principles of healthcare integration can lead to fragmentation of care and worse patient outcomes. Finally, this article will describe some practical examples of system integration as innovation in the form of better public health and care delivery connections, health homes, and community care coordination centres.

Relationship Between Organisational Innovation and Organisation Performance: A Study of Nigeria Bottling Company

In an increasingly competitive business environment, the role of organisational innovation as a driver of performance is more crucial than ever. This study investigates the relationship between organisational innovation and organisational performance with a specific focus on Nigeria Bottling Company. Using a mixed-methods approach, the study explores how innovations in product development, processes, and management systems contribute to enhanced operational efficiency, market share, and financial outcomes. The study adopts a descriptive cross-sectional survey. The target population for this study consisted of two hundred and forty-five (245) staff members from Nigeria Bottling Company. Data was collected through structured questionnaires with key personnel across various departments within the organisation and analysed using descriptive statistics and regression analysis for the hypotheses. The study revealed that film size innovation is vital for a company's success in today's highly competitive business environment and leads to higher productivity, meaning that the same input generates a greater output. Innovatiocontributeste to firms’ success in terms of better performance in the form of higher profits, lower production costs, more efficient working procedures, and better relationships with customers. Furthermore, finding shows that creativity and innovation helps and improves the work of employees together with improving organisational performance. The study concludes that fostering a culture of continuous innovation is essential for sustaining competitive advantage in the beverage industry. It is therefore recommended that technological innovation be incorporated at all levels. The management of the organisation has to design an effective and timely market innovation strategy and communicate it to all staff members to enhance organisational performance and productivity. Organisations should consider innovation that is either market, product or organisation-based to improve and increase the organisational performance as innovation is significant to new product development, product modification and creation of a new market as experienced in new product lines like increase in online marketing, online purchase of different products and global connection of markets into one.

Spaceborne SAR System Design Considerations: Minimizing Satellite Size and Mass, System Parameter Trade-Offs, and Optimization

The goal of this research is to assess and guide the development of next-generation synthetic aperture radar (SAR) satellites, optimize their performance, and present the requirements related to the design parameters. In the current era, characterized by the rapid advancement of SAR technologies, the challenge of designing compact and efficient satellites is more relevant than ever. The present research provides a comprehensive analysis of design parameters for microsatellite applications, including altitude, incidence angle, operating frequency, antenna sizing, and transmitting power. The complex relationships between these parameters and their combined impact on SAR system performance and satellite dimensions are demonstrated through various scenarios. Special attention is given to balancing the SAR antenna area and the transmitting power needs, which are primary constraints in SAR microsatellite design. A detailed comparative study is presented, highlighting how each design decision affects the overall functionality and performance. Modern SAR satellites with masses under 150 kg can operate with approximately 1 kW of transmitting power and a 10 m2 SAR antenna area. The present results analyze and validate the key parameters related to these satellites, coping with the challenging trade-offs through optimization. Furthermore, this study aims to guide future innovative spaceborne SAR system design, highlighting the potential of optimization techniques in advancing spaceborne SAR technology.

The DLEU2/miR-15a/miR-16-1 cluster shapes the immune microenvironment of chronic lymphocytic leukemia

The development and progression of chronic lymphocytic leukemia (CLL) depend on genetic abnormalities and on the immunosuppressive microenvironment. We have explored the possibility that genetic drivers might be responsible for the immune cell dysregulation that shapes the protumor microenvironment. We performed a transcriptome analysis of coding and non-coding RNAs (ncRNAs) during leukemia progression in the Rag2−/−γc−/− MEC1-based xenotransplantation model. The DLEU2/miR-16 locus was found downmodulated in monocytes/macrophages of leukemic mice. To validate the role of this cluster in the tumor immune microenvironment, we generated a mouse model that simultaneously mimics the overexpression of hTCL1 and the germline deletion of the minimal deleted region (MDR) encoding the DLEU2/miR-15a/miR-16-1 cluster. This model provides an innovative and faster CLL system where monocyte differentiation and macrophage polarization are exacerbated, and T-cells are dysfunctional. MDR deletion inversely correlates with the levels of predicted target proteins including BCL2 and PD1/PD-L1 on murine CLL cells and immune cells. The inverse correlation of miR-15a/miR-16-1 with target proteins has been confirmed on patient-derived immune cells. Forced expression of miR-16-1 interferes with monocyte differentiation into tumor-associated macrophages, indicating that selected ncRNAs drive the protumor phenotype of non-malignant immune cells.

Inflammation-Targeted Biomimetic Nano-Decoys via Inhibiting the Infiltration of Immune Cells and Effectively Delivering Glucocorticoids for Enhanced Multiple Sclerosis Treatment.

Excessive infiltration of neutrophil and inflammatory cytokines accumulation as well as the inadequate delivery of drugs to the targeted site are key pathological cascades in multiple sclerosis (MS). Herein, inflammation-targeting biomimetic nano-decoys (TFMN) is developed that inhibit the infiltration of immune cells and effectively deliver glucocorticoids to lesions for enhanced MS treatment. Nano-decoys encapsulated with the glucocorticoid methylprednisolone (MPS) are prepared by coating neutrophil membrane (NM) on nanoparticles formed by the self-assembly of tannic acid and poloxamer188/pluronic68. Benefiting from the natural inflammation-targeting ability of activated neutrophil membranes, TFMN can target the lesion site and prevent neutrophils infiltration by adsorbing and neutralizing elevated neutrophil-related cytokines, subsequently modulating the inflammatory microenvironment in experimental autoimmune encephalomyelitis mice. TFMN exhibits a strong antioxidant capacity and scavenged excessive reactive oxygen species to enhance neuronal protection. Furthermore, at the inflammation site, perforin, discharged by cytotoxic T-lymphocytes, triggered the controlled release of MPS within the TFMN through perforin-formed pores in the NM. Simultaneously, this mechanism protected neurons from perforin-induced toxicity. The MPS liberated at the targeted site achieves optimal drug accumulation, thereby enhancing therapeutic efficacy. In conclusion, the innovative system shows potential for integrating various therapeutic agents, offering a novel strategy for CNS disorders.

Maximizing desalination performance in pyramid distiller: Integration of vertical wick still and enhanced phase change material by nanoparticle and emerging fins

The growing global water crisis, driven by population growth and dwindling freshwater resources, demands innovative solutions for sustainable desalination. While traditional solar still designs have been explored, their efficiency remains limited. This study introduces an advanced approach to solar distillation by integrating a modified pyramid solar still (MPSS) with two key innovations: a vertically positioned wick still (VWSS) and phase change material (PCM) enhanced with silver nanomaterials (PCM-Ag Nano). In addition, the design features two absorber plate configurations—flat and finned—coupled with emerging fins (EF) within the PCM unit to improve heat conductivity, addressing a common limitation in solar distillation systems. By incorporating PCM-Ag Nano and finned absorbers, the MPSS achieved significant improvements in desalination performance. The combined system of MPSS-FA-PCM-Ag-EF and VWSS produced a total distillate volume of 12,870 ml, representing a 154 % increase over a conventional pyramid solar still (PSS). Specifically, daily outputs of 9,270 ml, 5,050 ml, and 3,600 ml were recorded for MPSS, PSS, and VWSS, respectively. Furthermore, the enhanced MPSS configuration attained the highest thermal efficiency at 60.5 %, and the desalination cost was reduced to $0.0142/L, compared to $0.019/L for the PSS. These results underscore the potential of this novel MPSS design, which combines PCM-Ag Nano and VWSS, to deliver substantial improvements in freshwater production, thermal efficiency, and cost-effectiveness. This innovative system offers a promising alternative to traditional desalination techniques, contributing to the global effort to mitigate water scarcity.

Comprehensive review of recent research trends in dielectric elastomer transducers: applications, materials, and fabrication

Abstract While rigid transducers have led to innovations in industrial automation and control systems,&amp;#xD;their rigidity limits them to the controlled environment of the factory. Recently, soft transducers&amp;#xD;have become an attractive area of research because their compliant nature presents potential to&amp;#xD;be applied to soft-bodied robots operating in uncontrolled environments. Dielectric elastomer&amp;#xD;transducers (DETs) demonstrate large electrically-driven deformations, high energy density, fast&amp;#xD;response, long lifespans, and self-healing capabilities which makes them a favorable replacement&amp;#xD;for rigid transducers. This review first introduces the working principles of DETs, modeling work,&amp;#xD;and different transducer designs. Then the applications of DETs to robotics, generators, and&amp;#xD;electronics are reviewed. Lastly, the challenges currently faced by DET technology are discussed&amp;#xD;and potential approaches are explored.

Design and evaluation of an active vineyard heating system to simulate temperature increase in the context of climate change

The current study introduces an innovative direct and active heating system designed for precise temperature control in vineyards. This system serves as a valuable tool for investigating the influence of climate change on grapevine physiology and, consequently, the characteristics of the resulting wine. The research took place in an experimental vineyard located in Mendoza, Argentina, with V. vinifera cvs. trained to a vertical shoot positioning trellis system over two consecutive growing seasons. The system design utilized electric hot water tanks and polypropylene pipes attached to the foliage catch wires. Over two growing seasons, the system consistently elevated the ambient air temperatures within the canopy by 2.5 ± 0.12 °C compared to the control group. This temperature increase emulated the temperature projections for Mendoza as forecasted by the IPCC by the end of this century. The system displayed heating uniformity, as evidenced by the absence of both vertical and horizontal temperature gradients. Additionally, the significant variation in mean daytime and night-time temperatures between the control and heated treatments highlighted the effectiveness of the system in modifying temperature conditions on a diurnal basis. The heated treatment applied with this system proved to have an effective biological impact on the physiology of grapevines. In both seasons, plants under the heated treatment advanced their bud break and harvest dates. The study showed a significant growth enhancement in the heated treatment, with apical shoots extending significantly longer than those in the control treatment. Additionally, the total soluble solids content increased in the heating treatment, while yield decreased, for both experimental seasons. These results illustrate the robust performance of the system throughout the entire growth period, regardless of fluctuations in atmospheric conditions. This study establishes a new foundation for future research on grapevine responses to climate change. It also opens the door to the implementation of effective adaptation strategies in vineyards, promising a more resilient and adaptable future for grape cultivation.

Innovation platforms in practice: a conceptual framework

ABSTRACT The agricultural innovation systems (AIS) approach holds promise for researchers seeking to gain deeper understanding of how actors, norms, and knowledge interact and drive improvements in the agricultural sector in developing countries. However, use of the AIS framework in empirical research is limited and conceptual and operational frameworks are needed. In this paper we have created a conceptual framework for how innovation platforms (IPs), a unique type of multistakeholder meetings, contribute to the AIS approach by fostering innovation, networking, and performance. The conceptual framework is then applied to a case study of the Feed the Future Innovation Lab for Livestock Systems (LSIL). Findings from the case study analysis showed the meetings fostered innovative thinking, strengthened networks, and shared knowledge among actors. While the generalisability of the case is limited, the study demonstrates how future research could use the conceptual framework for advancing knowledge around AIS and IP meetings.

Intelligent cell images segmentation system: based on SDN and moving transformer

Diagnosing diseases heavily relies on cell pathology images, but the extensive data in each manual identification of relevant cells labor-intensive, especially in regions with a scarcity of qualified healthcare professionals. This study aims to develop an intelligent system to enhance the diagnostic accuracy of cytopathology images by addressing image noise and segmentation issues, thereby improving the efficiency of medical professionals in disease diagnosis. We introduced an innovative system combining a self-supervised algorithm, SDN, for image denoising with data enhancement and image segmentation using the UPerMVit model. The UPerMVit model’s novel attention mechanisms and modular architecture provide higher accuracy and lower computational complexity than traditional methods. The proposed system effectively reduces image noise and accurately segments annotated images, highlighting cellular structures relevant to medical staff. This enhances diagnostic accuracy and aids in the accurate identification of pathological cells. Our intelligent system offers a reliable tool for medical professionals, improving diagnostic efficiency and accuracy in cytopathologic image analysis. It provides significant technical support in regions lacking adequate medical expertise.

A three-pronged new development model for overcoming the middle-technology trap in China

This article addresses a critical issue facing developing countries: overcoming the “middle-technology trap” to achieve sustainable economic growth. It posits that transitioning to an innovation-driven economic growth model is pivotal for surmounting this trap and is an essential prerequisite for high-quality development. This study introduces a strategic approach through a new development model, emphasizing the synergy among three core systems: basic scientific research, applied technology, and financial support. This “three-pronged” collaboration model is argued to foster sustainable innovation-driven growth, essential for leaping over the “middle-income trap” towards high-quality development. By analyzing the historical trajectories of the Soviet Union and the United States, the article delineates the critical role of the proposed model in fostering an innovation economy. The Soviet Union’s failure and the United States’ success are examined through the lens of their respective approaches to integrating basic scientific research, applied technology, and financial systems. The analysis underscores the necessity of a balanced and interactive relationship among these systems for technological innovation, industrial development, and sustainable economic growth. The article concludes that for China to overcome the “middle-technology trap” and achieve long-term prosperity, it should embrace this “three-pronged” new development model, ensuring continuous scientific exploration, technological innovation, and productivity enhancement.

AI-driven telemedicine: Optimizing daily dietary recommendations amidst the COVID-19 pandemic

Amidst the COVID-19 pandemic, the imperative of physical distancing has underscored the necessity for telemedicine solutions. Traditionally, telemedicine systems have operated synchronously, requiring scheduled appointments. This study introduces an innovative telemedicine system integrating Artificial Intelligence (AI) to enable asynchronous communication between physicians and patients, eliminating the need for appointments and providing round-the-clock access from any location. The AI-Telemedicine system was developed utilizing Google Sheets and Google Forms. Patients can receive dietary recommendations from the AI acting as the physician and submit self-reports through the system. Physicians have access to patients’ submitted reports and can adjust AI settings to tailor recommendations accordingly. The AI-Telemedicine system for patients requiring daily dietary recommendations has been successfully developed, meeting all nine system requirements. System privacy and security are ensured through user account access controls within Google Sheets. This AI-Telemedicine system facilitates seamless communication between physicians and patients in situations requiring physical distancing, eliminating the need for appointments. Patients have round-the-clock access to the system, with AI serving as a physician surrogate whenever necessary. This system serves as a potential model for future telemedicine solutions.

Role of Biocontrol Agents in Suppressing Plant Pathogen: A Compressive Analysis

Biocontrol agents have emerged as important tools in the quest for sustainable agriculture, offering environmentally friendly alternatives to chemical pesticides for managing plant pathogens and pests. This comprehensive review explores the advancements in biocontrol agent research, focusing on the exploration of new agents, genetic engineering, and integration into Integrated Pest Management (IPM) systems. The discovery of novel biocontrol agents from diverse environments, including plant microbiomes and marine ecosystems, has expanded the arsenal available for agricultural use, while genetic engineering and synthetic biology have enhanced the efficacy of existing agents by improving their production of antimicrobial metabolites and stress tolerance. Additionally, the development of synthetic microbial consortia and innovative delivery systems, such as encapsulation and nanotechnology, has improved the stability and application efficiency of biocontrol agents in various agricultural settings. The review also highlights the importance of sustainable and eco-friendly approaches, such as the use of organic amendments and crop rotation, to enhance the effectiveness of biocontrol strategies. These methods not only improve soil health and biodiversity but also reduce the reliance on chemical inputs. However, the widespread adoption of biocontrol agents faces challenges, including environmental variability, host specificity, and the need for supportive regulatory frameworks. Harmonizing regulatory processes, promoting public awareness, and providing incentives for sustainable practices are essential for overcoming these barriers. International cooperation and knowledge exchange are crucial for advancing research and ensuring that biocontrol agents become integral components of modern agriculture. This review underscores the potential of biocontrol agents to contribute significantly to global food security and environmental sustainability, provided that ongoing research and innovation continue to address existing challenges and expand their practical applications in diverse agricultural contexts.

Microenvironmental pH modulating oxygen self-boosting microalgal prodrug carboxymethyl chitosan/hyaluronic acid/puerarin hydrogel for accelerating wound healing in diabetic rats

Chronic diabetic wounds are characterized by a range of detrimental features, including hypoxia, elevated levels of reactive oxygen species, impaired angiogenesis, chronic inflammation, and an increased susceptibility to bacterial infections. We have developed an innovative multifunctional hydrogel system based on carboxymethyl chitosan, which incorporates embedded microalgae PCC7942 along with hyaluronic acid and puerarin, termed PCC7942@carboxymethyl chitosan/hyaluronic acid/puerarin hydrogel. It demonstrated outstanding capabilities in exudate absorption, mechanical flexibility, hemostatic action, and antibacterial efficacy. Furthermore, it effectively modulated the pH of wound microenvironment through the hydrolysis of amide bonds, thereby establishing a favorable low-pH microenvironment. Microalgae in hydrogel covered in the wound exhibited stable and continuous oxygen production within 24 h, with more efficiency in dissolved oxygen penetration through skin. Furthermore, prodrugs such as hyaluronic acid and puerarin from hydrogel displayed the controlled release behavior and facilitated the fast and enhanced accumulation of drugs at wound site, thereby accelerating the process of wound healing via enhanced angiogenesis and anti-inflammation effects. In summary, the healing-promoting effect of PCC7942@carboxymethyl chitosan/hyaluronic acid/puerarin hydrogel in type 1 diabetic rats can be attributed to the synergistic effects of microalgae, hyaluronic acid, and puerarin, which collectively accelerated wound healing rate and improved the quality of wound recovery.

Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications

In this paper, which represents a fundamental step in ongoing research, a new smart low-energy dual-function half-mode substrate integrated waveguide cavity-interdigital capacitor (HMSIWC-DIC) antenna-based sensor is developed and investigated for remote frost and wildfire detection applications at 5.7 GHz. The proposed methodology exploits the HMSIW antenna-based sensor, a microfluidic channel (microliter water channel (50 μL)), interdigital capacitor technologies, and the resonance frequency parameters combined with machine learning algorithms. This allows for superior interaction between the water channel and the TE101 mode, resulting in high sensitivity (∆f/∆ε = 5.5 MHz/ε (F/m) and ∆f/∆°C = 1.83 MHz/°C) within the sensing range. Additionally, it exhibits high decision-making ability and immunity to interference, demonstrating a best-in-class sensory response to weather temperature across two ranges: positive (≥0 °C, including frost and wildfire) and negative (&lt;0 °C, including ice accumulation). To address the challenges posed by the non-linear, unpredictable behavior of resonance frequency results, even when dealing with weak sensor antenna responses, an innovative sensory intelligent system was proposed. This system utilizes resonance frequency results as features to classify and predict weather temperature ranges into three environmental states: Early Frost, Normal, and Early Wildfire, achieving an accuracy of 96.4%. Several machine learning techniques are employed, including artificial neural networks (ANNs), random forests (RF), decision trees (DT), support vector machines (SVMs), and Gaussian processes (GPs). This sensor serves as an ideal solution for energy management through its utilization in RF-based weather temperature sensing applications. It boasts stable performance, minimal energy consumption, and real-time sensitivity, eliminating the necessity for manual data recording.

Multi-Objective Optimization of an Inertial Wave Energy Converter for Multi-Directional Wave Scatter

To advance wave energy devices towards commercialization, it is essential to optimize their design to enhance system performance. Additionally, a thorough economic evaluation is crucial for making these technologies competitive with other renewable energy sources. This study focuses on the techno-economic optimization of an innovative inertial system, the so-called SWINGO system, which is based on gyropendulum technology. SWINGO stands out due to its high energy efficiency in multi-directional installation sites, where wave directions vary significantly throughout the year. The study introduces the application of a multi-objective Evolutionary Algorithm (EA), specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize the techno-economic performance of the SWINGO system. This approach aims to identify optimal design parameters that maximize energy extraction while considering economic viability. By deriving a Pareto frontier, a set of optimal devices is selected for further analysis. The performance of the SWINGO system is also compared to an alternative (mono-directional) inertial wave energy converter, the Inertial Sea Wave Energy Converter (ISWEC), to highlight the differences in techno-economic outcomes. Both systems are evaluated at two different installation sites: Pantelleria island and the North Sea in Denmark, with a focus on the directional wave scatter at each location.

An Evaluation Scheme Driven by Science and Technological Innovation—A Study on the Coupling and Coordination of the Agricultural Science and Technology Innovation-Economy-Ecology Complex System in the Yangtze River Basin of China

This study focuses on 19 provinces in the Yangtze River Basin of China. It gathers relevant data indicators from 2010 to 2021 and constructs an evaluation index system centered on agricultural science and technology innovation. The study evaluates the relationship between agricultural “science and technology innovation-economy-ecology” systems and identifies key obstacle factors using the obstacle degree model. The study draws the following conclusions: Firstly, the comprehensive development level index of the agricultural science and technology innovation system shows an overall linear upward trend (values range from 0.121 to 0.382). Secondly, the comprehensive development level index of the agricultural economic system exhibits an upward trend but with a relatively small overall magnitude (values range from 0.248 to 0.322). Thirdly, the comprehensive development level index of the agricultural ecological system demonstrates significant overall fluctuations, with notable regional disparities (values range from 0.384 to 0.414). Fourthly, the overall agricultural SEE (Science and technological innovation, Economy, Ecology) complex system exhibits a characteristic of “high coupling, low coordination”, identifying the main obstacle factors influencing agricultural SEECS based on a formulated approach. Subsequently, the following policy recommendations are proposed: Firstly, enhance the agricultural technological innovation system and promote green and efficient agricultural technology research and development. Secondly, to accelerate the transformation and upgrading of modern agriculture, achieving green and high-quality development of the agricultural economy. Thirdly, to strengthen agricultural ecological environment protection, laying a solid foundation for the healthy and sustainable development of agriculture.

Enhanced Peroxidase-like Activity of Ruthenium-Modified Single-Atom-Thick A Layers in MAX Phases for Biomedical Applications.

Nanozymes have demonstrated significant potential as promising alternatives to natural enzymes in biomedical applications. However, their lower catalytic activity compared to that of natural enzymes has limited their practical utility. Addressing this challenge necessitates the development of innovative enzymatic systems capable of achieving specific activity levels of natural enzymes. In this study, we focus on enhancing the catalytic performance of nanozymes by introducing Ru atoms into the single-atom-thick A layer of the V2SnC MAX phase, resulting in the formation of V2(Sn0.8Ru0.2)C with Ru single-atom sites. The V2(Sn0.8Ru0.2)C MAX phase demonstrated an exceptional peroxidase-like specific activity of up to 1792.6 U mg-1, surpassing the specific activity of a previously reported horseradish peroxidase (HRP). Through X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) investigations, it has been revealed that both the V2C atom layers and single-atom-thick Sn readily accept a negative charge from Ru, leading to a reduction of the energy barrier for H2O2 adsorption. This discovery has enabled the successful application of V2(Sn0.8Ru0.2)C in the development of a lateral flow immunoassay for heart failure biomarkers, achieving a detection sensitivity of 4 pg mL-1. Additionally, V2(Sn0.8Ru0.2)C demonstrated exceptional broad-spectrum antibacterial efficacy. This study lays the groundwork for the precise design of MAX phase-based nanozymes with high specific activity, offering a viable alternative to natural enzymes for various applications.