Innovative System Research Articles

Innovative electric heating system for a hybrid solar cooker (photovoltaic/thermal) using photovoltaic energy with battery storage

Innovative electric heating system for a hybrid solar cooker (photovoltaic/thermal) using photovoltaic energy with battery storage

Teaching agile: A case study approach with an optional game

Learning Agile philosophy is essential for system analysis and design or software development courses. Organizations operate in highly dynamic environments, constantly needing to adapt, change, or create innovative Information Systems. Agile provides guiding values and principles that enable systems analysts to support organizations in responding to change and developing, modifying, or updating information systems. By learning Scrum, an Agile-inspired framework, students can assume the role of systems analyst, organizing activities and working in teams iteratively to solve complex problems using Agile principles. This hands-on approach helps students understand the importance of stakeholder involvement, constant scrutiny, and adjustment to achieve frequent system updates. Hence, this case study immerses students in a scenario where they apply the Scrum framework, with an optional puzzle game to introduce students to agile philosophy through its manifesto. Learning by doing has proven effective for complex or dry topics, with students responding positively to this method. Interview data collected at the end of the activity showed high student satisfaction and a strong sense of knowledge acquisition while enjoying the class. Additionally, integrating a game to internalize agile concepts with a teaching case to apply concepts presents a rich educational approach that can be adapted to other Information Systems topics.

Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing

The current state of affairs in the field of using polymer hydrogels for the creation of innovative systems for signal and image processing, of which computing is a special case, is analyzed. Both of these specific examples of systems capable of forming an alternative to the existing semiconductor-based computing technology, but assuming preservation of the used algorithmic basis, and non-trivial signal converters, the nature of which requires transition to fundamentally different algorithms of data processing, are considered. It is shown that the variability of currently developed information processing systems based on the use of polymers, including polymer hydrogels, leads to the need to search for complementary algorithms. Moreover, the well-known thesis that modern polymer science allows for the realization of functional materials with predetermined properties, at the present stage, receives a new sounding: it is acceptable to raise the question of creating systems built on a quasi-biological basis and realizing predetermined algorithms of information or image processing. Specific examples that meet this thesis are considered, in particular, promising information protection systems for UAV groups, as well as systems based on the coupling of neural networks with holograms that solve various applied problems. These and other case studies demonstrate the importance of interdisciplinary cooperation for solving problems arising from the need for further modernization of signal processing systems.

Spatial feasibility prediction of green hydrogen scale-up in China under decarbonization policies: Based on improved diffusion model

Hydrogen production from renewable electrolysis is a suitable transformative technology for driving a cleaner energy mix, mitigating climate change, and achieving sustainable development and has been given the color value definition of "green hydrogen". However, this low-carbon technology is still in its infancy, and the pathways for expanding market supply have not been analyzed. To address the problems of unclear factors influencing the diffusion of green hydrogen technology innovation, unclear technology diffusion laws, and inaccurate predictions of regional green hydrogen production capacity under the goal of decarbonization policy, this work constructs a spatial assessment framework of the feasibility of low-carbon technology development in response to climate change on the basis of the theory of technological innovation systems, the improved technology diffusion model, and the feasibility of climate change spatial concepts to analyze and predict the diffusion law and regional green hydrogen production capacity of hydrogen production by renewable energy under the goal of carbon neutrality. The results of the study on the development of renewable hydrogen technology in China show that it follows the law of diffusion of low-carbon technologies in both the formation and growth stages. The diffusion of green hydrogen technology in the formation stage is slow, and the regional green hydrogen capacity in the near term cannot meet the decarbonization policy target demand in 2030. Before the spatial inflection point of technology diffusion feasibility, the demand-pull of the phase decarbonization policy target dominated the stability and sustainability of the green hydrogen supply market. After the inflection point, the internal growth of technology diffusion plays a key role in market diffusion and ultimately reaches a saturation value under the joint regulation of policy and the market to realize a carbon-neutral target capacity demand in 2060. The uncertainty of diffusion model parameters leads to anomalies in the feasibility space of technology diffusion, and risks such as overcapacity or insufficient demand in some regions may occur. Overall, this work provides a systematic assessment system for analyzing and predicting the pathways and characteristics of expanding renewable hydrogen production in specific regions under decarbonization policy objectives.

Mapping the global regulatory terrain in digital banking: a longitudinal study across countries

Purpose This study aims to comprehensively understand the regulatory landscape and digital transformation (DT) within the banking sector, anchored in the theory of national innovation systems. Design/methodology/approach Using insights from a comprehensive literature review, an innovative framework is introduced to categorize regulators and digital banking attributes across 88 countries. The study uses k-means clustering to analyze the digital banking and regulatory status of 88 countries, tracing their evolution over two distinct timeframes. Findings The cross-country analysis spanning 2014 and 2022 reveals compelling trends in regulatory rankings and digital banking across diverse nations. These findings shed light on the dynamic interplay between regulatory environments and technological innovation. Originality/value This research contributes to knowledge by establishing a robust framework for understanding regulator dynamics in digital banking across a wide spectrum of countries. It offers valuable insights for academia, practitioners and policymakers by elucidating the complex relationship between the regulatory landscape and DT, shaping discourse and implications in this field, and informing strategic decision-making and policy formulation in the global financial landscape.

Construction of Innovation System of College Physical Education Teaching Mode Facing Sunshine Physical Education

The goal of innovating sunshine physical education teaching mode is to promote the reform of traditional physical education teaching, ensure the all-round development of students physical and mental health, promote the improvement of students comprehensive quality, and create a good campus health culture. Therefore, for colleges and universities, we should pay attention to the reform and innovation of physical education teaching mode, enhance students physical and psychological quality, enhance their sense of collective honor and teamwork, and promote the further spread of campus sports culture. This paper analyzes the way of constructing physical education teaching system in colleges and universities under the background of sunshine sports, aiming at promoting students all-round development and improving their comprehensive quality.

INNOVATING URBAN CHINA: The Rise of the Local Venture State and the Making of New Entrepreneurial Spaces

AbstractIn this article we centralize the analytic of the local venture state (LVS) to offer a novel framework for investigating China's new urban entrepreneurialism, which emerged after the 2008 global financial crisis. As a spatiotemporally specific response to the crisis, the LVS goes beyond GDP‐driven developmentalism, seeking to simultaneously promote economic development, indigenous innovation and social equity using a variety of financialized policy instruments. Ethnographic case studies of new entrepreneurial spaces in Beijing's Zhongguancun area situate the LVS at the interface between Zhongguancun's urban space and China's innovation system. They reveal the rationalities behind the rise of the LVS and discrepancies among policy intentions, the implementation thereof and actual local results. Underlying the mixed results of the LVS, we argue, is the complicated power dynamics within the LVS and a fundamental contradiction between the dynamics of technological innovation and those of wealth redistribution. In our examination of China's LVS vis‐à‐vis global struggles to tackle the protracted economic crisis and achieve a more socially inclusive model of urban development, we stress the need to theorize urban entrepreneurialism from the global East with the aim of enriching the literature of urban China and of variegated urban entrepreneurialism.

An Innovative Biphasic Reaction System for Highly Selective Benzene Hydroxylation based on Photocatalytic Polymer Composites

AbstractThe hydroxylation of benzene to phenol in presence of hydrogen peroxide was performed using a new biphasic system consisting of a solid phase, a photocatalytically active monolithic polymer composite, immersed in an aqueous phase in which H2O2 is dissolved. In detail, ZnO photocatalytic particles were embedded into the hydrophobic syndiotactic polystyrene (sPS) polymer. Zinc oxide nanostructures (ZnO NSs) were synthesized by an electrochemical procedure. The surface morphology and structure of ZnO nanoparticles and ZnO‐sPS monolithic aerogel composite (ZnO/sPS) were investigated by scanning electron microscopy, X‐ray diffraction and X‐ray photoelectron spectroscopy analysis. Photocatalytic results evidenced that, under UV irradiation, both ZnO NSs and biphasic system water‐photocatalytic composites had a high benzene oxidative property but with very low phenol yield (<2 %) at pH=7. To enhance the phenol selective formation, the pH of the aqueous solution surrounding the photocatalytic polymer composite was modified. A phenol yield of about 94 % and benzene conversion higher than 99 % was obtained in alkaline conditions (pH=11).

On the edge: a multilevel perspective on innovation complexities and dynamic attractors in the supply network

PurposeIn innovation management, the complexity inherited in the supply network may be necessary for success. This study aims to holistically examine innovation complexities and system attractors within a hierarchically nested supply network and explore how they dynamically interact and influence adaptive innovation processes.Design/methodology/approachTaking a complexity theory perspective, we employed a methodological bricolage approach using a single case study with multiple embedded units of analysis – namely, a supply network encompassing 36 firms. We drew upon primary data obtained from 42 interviewees and rich secondary data, and we employed a temporal exponential random graph model to examine the micro-foundations of the evolution of the sampled supply network over a decade.FindingsThis study presents a comprehensive overview of the innovation complexities—relational, temporal, dynamic, operational and structural – and how they manifest within a supply network. It also identifies three systemic attractors – point, periodic and strange – and elucidates their relationships with the complexities and their impact on innovative supply network dynamics. The resulting conceptual framework and working propositions provide a detailed perspective on the complex interplay between balanced order and chaos and the potentially unbalanced innovation states within a supply network.Originality/valueThis research offers an in-depth perspective on the innovation complexities and dynamic attractors within a supply network from a holistic, multilevel perspective. It advances complexity theory and deepens the understanding of supply networks as complex adaptive systems.

An Optimization Framework for Waste Treatment Center Site Selection Considering Nighttime Light Remote Sensing Data and Waste Production Fluctuations

As urbanization accelerates, the management of urban solid waste poses increasingly intricate challenges. Traditional urban metrics, such as GDP and per capita consumption rates, have become inadequate for accurately reflecting the realities of waste generation; moreover, the linear correlation between these metrics and waste production is progressively diminishing. Consequently, this study introduces a novel methodology leveraging nighttime light remote sensing data to enhance the precision of urban solid waste production forecasts. By processing remote sensing data to mitigate noise and integrating it with conventional urban datasets, an innovative index system and predictive model were developed. Using Beijing as a case study, the gradient boosting regression algorithm yielded a prediction accuracy of 92%. Furthermore, in light of the substantial costs associated with waste recovery route planning and site selection for treatment facilities, this research further devised a location and distribution framework for waste treatment centers based on high-precision predictions of waste production while employing multi-objective evolutionary algorithms (MOEAs) alongside the non-dominated sorting genetic algorithm II (NSGA-II) for optimization. Distinct from prior studies, this study suggests that service point waste quantities are not fixed values but rather adhere to a normal distribution within specified ranges and thus provides a more realistic simulation of fluctuations in waste production while enhancing both the robustness and predictive accuracy of the model. In conclusion, by incorporating nighttime light remote sensing data along with advanced machine learning techniques, this study markedly improves forecasting accuracy for waste production while offering effective optimization strategies for site selection and recovery route planning—thereby establishing a robust data foundation aimed at refining urban solid waste management systems.

A Quantum-Secure Cryptographic Algorithm Integrating Fractals and Prime Numbers

The present work introduces a new scheme of data cryptography in the context of emerging trends due to the challenge of defending critical network infrastructure against new exploit systems based on artificial intelligence or defending against quantum threats. In this paper, we will present an innovative cryptographic system composed of keys coming from fractals and prime numbers that are additionally manipulated through mathematical operations using matrices and quantum security. This technique ensures a high level of security, as demonstrated by the NIST p-values calculated on the key. This paper works upon the foundation on the previous work F&NIF (Fractal & Numerical Information Fusion), as we will discuss in the paper. In this work, we take this procedure and expand it with these new added features, using new fractal schemes and, in particular, implementing a novel quantum security procedure. This algorithm creates a security key applicable to cryptography that is resistant to quantum attacks since this procedure is quantum-crypto-agile.

Maternal and perinatal death surveillance and response in Bangladesh: A case study on measuring impact through health information systems

The health sector in Bangladesh is thriving, and the Maternal and Perinatal Death Surveillance and Response (MPDSR) program has been in place to investigate the causes of maternal and perinatal death. This study aimed to investigate the availability of information systems for measuring the status of an MPDSR program and the planning process and actions developed based on real-time information. This study delved into innovative information systems that can be used to monitor and measure the impact of health programs. The study included both the primary and secondary data. A total of six key informant interviews were conducted to explore the enablers and strengths of information systems. Secondary data were collected from government websites and MPDSR action plans. This study highlights the potential and challenges of governmental health information systems in notifying maternal and neonatal deaths. While the current notification rates are not up to national standards, it is encouraging to see health managers develop action plans and address this issue. The MPDSR information system is a valuable tool to help health managers measure changes in maternal and perinatal mortality rates and design locally targeted interventions. However, several obstacles must be addressed, such as insufficient data, lack of monitoring, and irregularities in MPDSR review meetings. By finding ways to overcome these challenges, we can unlock the full potential of MPDSR and improve maternal and neonatal health outcomes. The success of an MPDSR program relies on how the information is utilized to take action and measure the outcome. Advanced information systems, such as health dashboards, scorecards, and administrative data, can play a vital role in measuring the progress and impact of a program. The primary challenge lies in capturing all deaths, including their causes, and having the capacity to analyze the data effectively to develop action plans for health managers.

Nanoemulsion and nanoemulgel-based carriers as advanced delivery tools for the treatment of oral diseases.

Oral diseases rank among the most widespread ailments worldwide posing significant global health and economic challenges affecting around 3.5billion people, impacting the quality of life for affected individuals. Dental caries, periodontal disease, bacterial and fungal infections, tooth loss and oral malignancies are among the most prevalent global clinical disorders contributing to oral health burden. Traditional treatments for oral diseases often face challenges such as poor drug bioavailability, breakdown of medication in saliva, inconsistent antibiotic levels at the site of periodontal infection as well as higher side effects. However, the emergence of nanoemulgel (NEG) as an innovative drug delivery system offers promising solutions where NEG combines the advantages of both nanoemulsions (NEs) and hydrogels providing improved drug solubility, stability, and targeted delivery. Due to their minuscule size and ability to control drug release, NEGs hold promise for improving treatment of oral diseases, where versatility of these delivery systems makes them suitable for various applications, including topical delivery in dentistry. This review concisely outlines the anatomy of the oral environment and investigates the therapeutic potential of NE-based gels in oral disorder treatment. It thoroughly examines the challenges of drug delivery in the oral cavity and proposes strategies to improve therapeutic efficacy, drawing attention to previous research reports for comparison. Through comprehensive analysis, the review highlights the promising role of NEGs as a novel therapeutic approach for oral health management via research advancements and their clinical translation. Additionally, it provides valuable insights into future research directions and development opportunities in this area.

Telesurgery: humanitarian and surgical benefits while navigating technologic and administrative challenges.

Telesurgery, the remote execution of surgical procedures through telecommunication and robotic systems, has witnessed substantial growth in recent years, promising to address global healthcare disparities and enhance surgical expertise. This paper explores the humanitarian and surgical benefits of telesurgery, emphasizing its potential to provide expert surgical care to underserved regions. Despite its transformative potential, telesurgery faces significant technologic challenges, including issues of data transmission, latency, and the need for advanced robotic platforms. The advent of 5G networks and innovative robotic systems provides a promising technological landscape, yet global disparities in 5G coverage remain a concern. Ethical considerations, ranging from preserving the surgeon-patient relationship to addressing patient vulnerability and conflicts of interest, are pivotal aspects that demand attention. The paper underscores the importance of clear regulatory frameworks and international collaboration to navigate legal complexities and ensure ethical standards. As telesurgery progresses, integrating artificial intelligence, augmented reality, and haptic feedback technologies holds promise for further advancements. Despite these challenges, telesurgery has the potential to achieve equitable access to expert surgical care; however, it requires a collective effort to overcome its intricate technologic and administrative hurdles.

Multi‐Scenario Applications of Multi‐Dimensional Yarn‐Based Wearable Integrated Sensors

Abstract1D yarn sensors, crucial for smart textiles, face challenges in achieving diverse functionalities, multiple applications, and durability in harsh environments. Herein, a simple strategy is proposed to prepare reduced graphene oxide‐polyimide yarns (rGO‐PYs), constructing functional and multi‐dimensional sensors for multi‐scenario applications. rGO‐PYs can detect multiple mechanical stimuli, and exhibit a broad bending and pressure response range (0°–180° and 0.12–62.39 KPa), quick response and recovery time (both <100 ms), and excellent cyclic stability. It features real‐time monitoring of human activities, such as joint movements, speech, writing, respiratory, pulse, and heart rate. rGO‐PYs exhibit a remarkable resilience to harsh environments, whether in liquid nitrogen (−196 °C), high temperature (300 °C), acid, or base. Crucially, expanded into an integrated 2D fabric, rGO‐PYs maintain their exceptional multi‐dimensional sensing. The point contact pressure sensor (PCPS) and pressure sensing array showed remarkable sensing performance in identifying pressure and its distribution. This work establishes a comprehensive system from preparation to application, encompassing 1D yarns large‐scale fabrication, functional sensing validation, integration into multi‐dimensional sensors, and diverse cross‐scenario applications. The innovative system would transform traditional yarns into intelligent fabrics, further advancing functional yarns into multi‐dimensional sensors (1D to 2D and 3D), enabling their diverse multi‐scenario applications.

Ergonomics in Bicycle Saddle Design: Application of TRIZ Innovation System Method with IPA-Kano Model Validation

This study investigates the innovative design of a bicycle saddle by incorporating sustainable ergonomics, universal design principles, and systematic innovation methods. Initially, the literature related to bicycle saddle design and its impact on the human body during riding was analyzed. The TRIZ contradiction matrix was then used to identify relevant invention principles, which served as references for the innovative design of the bicycle saddle. Biomechanics and the human–machine system analysis within human factors engineering were applied to ensure the innovative design is ergonomic and user-friendly. The design features a horizontally expandable and foldable bicycle saddle, enhancing its adaptability and sustainability. Universal design principles were applied to make the innovative design more accessible to the general public, and the prototype was simulated using Inventor drawing software. The research results include: (1) An innovative bicycle saddle design with horizontal expansion and folding functions is proposed. This design divides the saddle into three components, enabling the left and right parts to expand or retract based on user preferences. (2) A bicycle backrest design featuring vertical adjustability is introduced. It incorporates a quick-release adjustment mechanism at the junction of the backrest and saddle, allowing users to freely adjust the backrest height. (3) A quick-operation bicycle saddle design is presented, utilizing quick-release screws to facilitate the swift operation of the horizontal expansion and folding mechanisms. This validation method confirmed that the innovative design meets both sustainable ergonomic standards and user expectations. The systematic innovation approach used in this study can serve as a valuable reference for future research and design applications.

A Review on Mixed Reality Operating Systems : Current Trends, Challenges and Prospects

This comprehensive article explores the rapidly evolving landscape of Mixed Reality (MR) operating systems, examining their core functionalities, architectural components, and the cutting-edge trends shaping their development. The article provides an in-depth analysis of the challenges facing MR OS developers, including interoperability, scalability, and user experience optimization, while offering insights into potential solutions. A comparative article of leading MR platforms highlights the diverse approaches and capabilities within the current ecosystem. The article delves into future prospects, discussing the integration of artificial intelligence, advanced user interaction paradigms, and their potential impact across various industries. Additionally, it addresses strategies for overcoming current limitations and explores the broader implications of MR technology on society, including ethical considerations and privacy concerns. By synthesizing current research and industry developments, this paper offers a comprehensive overview of the state of MR operating systems, their potential applications, and the transformative role they are poised to play in shaping human-computer interaction and digital experiences. The article concludes by emphasizing the critical importance of continued innovation in MR operating systems for advancing the field and realizing the full potential of mixed reality technology in both personal and professional domains.

An innovative endodontic irrigation system

An innovative endodontic irrigation system

Natural Antimicrobial Agents from Algae: Current Advances and Future Directions.

Infectious diseases have significantly shaped human history, leading to significant advancements in medical science. The discovery and development of antibiotics represented a critical breakthrough, but the rise of antibiotic-resistant pathogens now presents a serious global health threat. Due to the limitations of current synthetic antimicrobials, such as toxicity and environmental concerns, it is essential to explore alternative solutions. Algae, particularly microalgae and cyanobacteria, have emerged as promising sources of bioactive antimicrobial compounds. This review provides a comprehensive analysis of the antimicrobial properties of algal-derived compounds, including polysaccharides, fatty acids, and phenols, which have shown effectiveness against multi-drug-resistant bacteria. A co-occurrence bibliometric analysis using VOSviewer highlighted five key research clusters: antibiotic resistance, algal extracts, biosynthesis, water treatment, and novel pharmacological compounds. Furthermore, the primary mechanisms of action of these bioactive compounds, such as the inhibition of protein synthesis and cell membrane disruption, were identified, demonstrating their potential against both common and multi-resistant pathogens. Future research should prioritize optimizing algal biomass production, utilizing genetic and metabolic engineering, and creating innovative delivery systems to enhance the efficient production of bioactive compounds.

Design Thinking Approach to Create Impact Assessment Tool: Cities2030 Case Study

This paper presents the development and testing of an impact assessment tool for the Cities2030 project aimed at transforming city-region food systems to align with the European Union’s Food2030 policy and the European Green Deal. This study highlights the importance of sustainable urban food systems, focusing on food security, environmental sustainability, and public health. Using a design thinking approach, this research emphasizes co-creation, stakeholder engagement, and iterative refinement, developing a flexible, multi-dimensional framework adaptable to diverse city-region contexts. Through collaboration with 65 stakeholders, this tool was tailored to meet the socio-economic and environmental needs of different regions. Case studies from Cities2030 partner cities demonstrate its effectiveness in fostering cross-sectoral collaboration, enhancing community participation, and driving food system innovations. Key findings reveal measurable impacts across social, environmental, and economic dimensions, while addressing challenges like regional disparities in data collection and the need for improved long-term tracking of sustainability metrics. This study concludes by underscoring the role of adaptive, inclusive strategies in assessing urban food systems’ sustainability and resilience and suggests that the tool’s framework could be applied to other urban sustainability areas, such as energy and water management.