Innovation In Area Research Articles

Spatio-temporal distribution and peak prediction of energy consumption and carbon emissions of residential buildings in China

With the acceleration of urbanization and the improvement of people's living standards, the carbon emissions of residential buildings (BCE) in China have been increasing, hindering the achievement of carbon peaking and carbon neutrality goals. It has become increasingly urgent and important to analyze and grasp the dynamic trends of BCE. Given the notable regional variations in carbon emissions, it is necessary to delve into the distribution characteristics of BCE and the underlying factors influencing them. First, based on the emission factor method, the energy consumption and carbon emissions calculation models are established. Next, the main influencing factors are obtained by improving Kaya's constant equation. Meanwhile, the GA-PPC-Kmeans model is established to divide BCE into different regions. Then, the STIRPAT-Ridge model is built to predict the peak carbon emissions. Finally, a combination of static and dynamic methods is used to forecast peaks under three scenarios, which are low-carbon (LC) scenario, baseline (BA) scenario, and high-carbon (HC) scenario. The results show that five pivotal factors significantly impact BCE in China, which are energy carbon emission intensity (ECEI), energy intensity (EI), economic density (ED), residential housing level (RHL) and population size(P). Furthermore, BCE is categorized into five distinct regions: low-carbon demonstration area, energy efficiency improvement area, carbon concentration and innovation area, high-carbon optimization area, and carbon poverty development area. Under BA scenario, the peaks for BCE in these regions converge primarily around 2040 and 2045. This study provides a regional research perspective for China's residential buildings to reach the peak of carbon emissions, and serves as a reference for formulating carbon emission reduction plans in different regions.

Progress in multifactorial single-cell chromatin profiling methods.

Chromatin states play a key role in shaping overall cellular states and fates. Building a complete picture of the functional state of chromatin in cells requires the co-detection of several distinct biochemical aspects. These span DNA methylation, chromatin accessibility, chromosomal conformation, histone posttranslational modifications, and more. While this certainly presents a challenging task, over the past few years many new and creative methods have been developed that now enable co-assay of these different aspects of chromatin at single cell resolution. This field is entering an exciting phase, where a confluence of technological improvements, decreased sequencing costs, and computational innovation are presenting new opportunities to dissect the diversity of chromatin states present in tissues, and how these states may influence gene regulation. In this review, I discuss the spectrum of current experimental approaches for multifactorial chromatin profiling, highlight some of the experimental and analytical challenges, as well as some areas for further innovation.

How to Listen Through a Wall: Lessons From Conducting Participatory Action Research in an Urban Prison

This project sought to understand the present-day experiences of individuals housed in prisons by utilizing Participatory Action Research (PAR) methods that partnered a university research team with individuals incarcerated in an urban correctional facility. The team assessed perceptions of the current environment by surveying people incarcerated in an urban prison. This article discusses the role of PAR methodologies from project initiation to finalization, explicitly focusing on coordination with prison and Department of Correction (DOC) administrative leadership and the value of including incarcerated individuals on the research team for successful change. Throughout the process, the team identified areas for improvement and innovations to improve the prison environment. This article provides a road map, lessons learned from conducting PAR in prison environments, and the power of partnering researchers and members of the researched population on one collaborative research team.

A Comprehensive Review of the Endometrial Receptivity Array in Embryo Transfer: Advancements, Applications, and Clinical Outcomes.

Embryo transfer is a pivotal procedure in assisted reproductive technologies (ART). Yet, the success of this process hinges on multiple factors, with endometrial receptivity playing a critical role in determining the likelihood of successful implantation. The endometrial receptivity array (ERA) is an advanced diagnostic tool designed to personalize embryo transfer timing by assessing the endometrium's receptivity. This review comprehensively examines the ERA, exploring its biological foundation, technological development, and clinical applications. The ERA's ability to analyze the expression of genes associated with endometrial receptivity offers a tailored approach to identifying the optimal window of implantation (WOI), particularly benefiting patients with recurrent implantation failure (RIF) or repeated unsuccessful in vitro fertilization (IVF) cycles. Clinical outcomes from ERA-guided embryo transfers indicate improvements in implantation rates and overall pregnancy success, although challenges such as result variability and cost-effectiveness persist. This review also discusses the latest advancements in ERA technology, including integrating genomic and transcriptomic analyses, non-invasive techniques, and using artificial intelligence (AI). Controversies regarding the widespread application of ERA and its necessity in all IVF cases are critically examined. By summarizing the current state of ERA in embryo transfer, this review aims to inform clinicians, researchers, and patients about its potential to enhance ART outcomes and to highlight areas for future research and innovation.

Comparative Analysis of Materials for Chassis Design in a Three-Wheeled Electric Vehicle

With the growing interest in sustainable transportation, three-wheeled electric vehicles have gained popularity as an eco-friendly mode of transportation. The design of the chassis is a critical aspect of ensuring the structural integrity and performance of these vehicles. This research paper presents a comparative evaluation of different materials for chassis design in three-wheeled electric vehicles. The objective of this study is to assess the suitability of various materials, including steel, aluminum, and carbon fiber composites, for chassis construction. The evaluation criteria encompass factors such as strength, weight, stiffness, durability, and cost. A systematic methodology is employed, including theoretical analysis, computer simulations, and practical testing, to evaluate and compare the performance of each material. The findings of this research provide valuable insights into the advantages and limitations of each material in the context of three-wheeled electric vehicle chassis design. The results assist in the selection of the most suitable material based on performance requirements, cost considerations, and sustainability goals. Furthermore, the research identifies potential areas for further improvement and innovation in chassis materials for future electric vehicle designs. The outcomes of this study aim to guide manufacturers, designers, and engineers in making informed decisions when selecting materials for chassis design, ultimately enhancing the safety, efficiency, and overall performance of three-wheeled electric vehicles. By contributing to the development of sustainable transportation solutions, this research promotes the transition towards a greener and more environmentally friendly mobility landscape.

Pavlovian safety learning: An integrative theoretical review.

Safety learning involves associating stimuli with the absence of threats, enabling the inhibition of fear and anxiety. Despite growing interest in psychology, psychiatry, and neuroscience, safety learning lacks a formal consensus definition, leading to inconsistent methodologies and varied results. Conceptualized as a form of inhibitory learning (conditioned inhibition), safety learning can be understood through formal learning theories, such as the Rescorla-Wagner and Pearce-Hall models. This review aims to establish a principled conceptualization of 'Pavlovian safety learning', identifying cognitive mechanisms that generate safety and the boundary conditions that constrain it. Based on these observations, we define Pavlovian safety learning as an active associative process, where surprising threat-omission (safety prediction error) acts as a salient reinforcing event. Instead of producing merely neutral or nonaversive states, safety learning endows stimuli with active positive associations to 'safety'. The resulting stimulus-safety memories counteract the influence of fear memories, promoting fear regulation, positive affect, and relief. We critically analyze traditional criteria of conditioned inhibition for their relevance to safety and propose areas for future innovation. A principled concept of Pavlovian safety learning may reduce methodological inconsistencies, stimulate translational research, and facilitate a comprehensive understanding of an indispensable psychological construct.

Compact Energy Storage Devices Developed from Waste-Derived Electrodes via Facile Recycling Technology

Indeed, the development of sustainable and renewable energy technologies is a critical aspect of addressing the challenges posed by pollution and climate change. Electrochemical energy storage devices, such as batteries and supercapacitors, play a crucial role in this transition by enabling the efficient storage and utilization of energy. The mention of nanomaterials-based electrodes highlights a fascinating area of research and innovation. Nanomaterials offer unique properties and advantages due to their small size, high surface area, short-diffusion path, rapid kinetics, enhanced conductivity, making them highly desirable for energy storage applications.Recycling waste to electrodes in compact energy storage device represents a particularly exciting frontier. Integrating energy storage into advance technology can enhance the portability and convenience of power sources, especially in the context of emerging technologies like wearable electronics and smart devices. However, challenges such as scalability, cost-effectiveness, and environmental impact must also be addressed to ensure the widespread adoption of these technologies. The emphasis on carbon-based nanomaterials, including graphene, carbon quantum dots, and activated carbon, as electrode materials is noteworthy. These materials show promise not only as negative electrodes but also as positive electrodes when combined with metal oxides, hydroxides, or sulphides, demonstrating their versatility in energy storage applications. Additionally, the innovative use of waste recycling, such as tires, shoots, and dry cells, for extracting carbon aligns with the broader goal of creating an eco-friendly environment. The focus on developing carbon-based electrodes from recycled waste for energy storage devices is commendable, as it not only addresses environmental concerns but also contributes to the creation of stable and efficient energy storage systems. In conclusion, this work on the generation of efficient carbon-based electrodes (graphene derived from different waste materials) for energy storage devices, showcases a multidisciplinary approach that considers both environmental sustainability and technological advancement. This research has the potential to contribute significantly to the ongoing efforts to create a more sustainable and efficient energy landscape.Key words: Recycling, Electrochemical, Carbon, Metal oxides, Energy storage, Compact devices

(Invited) Nanosecond Electrical Discharges in Liquids: Applications in the Synthesis of Nanoparticles, Including Nanoalloys

In recent decades, the field of nanotechnology has witnessed rapid growth, fueled by the exceptional physical, chemical, mechanical, and electrical properties of nanoscale materials. Nanomaterials have found applications across various domains, including catalysis, drug delivery, microelectronics, and more. Notably, plasma-based methods have emerged as promising avenues for nanomaterial synthesis, offering versatile approaches through both bottom-up and top-down techniques.One particularly innovative area of research is the plasma-liquid system, which has demonstrated remarkable efficiency in nanomaterial synthesis. This system involves the generation of plasma in a gas phase in contact with a liquid or directly within the liquid, sometimes aided by the introduction of bubbles. This communication has two goals: 1) present an overview of the physics of different discharge mechanisms, with a particular focus on the intriguing phenomena occurring at the interfaces, and 2) show different cases where nanomaterials of interest are produced. For instance, we will show that in-liquid spark discharges prouce nanoparticles through electrode erosion, and notably, the properties of these materials are highly sensitive to both the nature of the electrode and the composition of the liquid. In the second part, we introduce an innovative plasma-liquid system where a discharge can be produced at or close the interface of two immiscible liquids. In specific cases where the system is composed of a conductive solution (e.g. salty water) and a hydrocarbon liquid, spark discharges can be generated between a pin in liquid hydrocarbon and the surface of the conductive solution. This unique configuration facilitates therefore an interaction between a high-density plasma (generated in liquid) and a solution containing metal ions. At this stage, many reactions may occur and lead to the reduction of ions to produce nanomaterials. We found that the particles collected from hydrocarbon liquid are different from those collected from the solution, in terms of composition and size distribution. This finding suggests the triggering of different chemical reactions in each liquid, involving thus species with short- as well as long-lifetime species. Consequently, we adopted this approach to synthesize metal nanoparticles as well as binary and ternary nanoalloys, expanding the scope of possibilities in nanomaterial synthesis.

Flipping the Narrative: A Unifying Framework for Juvenile Court-based Forensic Social Work Practice

Professional social workers are trained in multiple competencies and occupy various positions within the forensic landscape. Unified by a code of ethics that emphasizes social justice and the protection and empowerment of marginalized populations and a philosophical approach that recognizes the interplay of individual and environmental factors, social work leadership in youth justice policy and practice is vital. This article proposes a unifying framework for macro, mezzo, and micro court-based forensic social work practice in the 21st century that draws from post-modern critical social work theory. The lifelong negative impacts of court involvement for young people are well documented and contribute to persistent societal inequities. Pre-disposition court practices can mitigate or further harm court-involved youth. “Flipping the Narrative” is a culturally relevant practice framework for evaluating and designing youth court practices that recognize the intersectionality of the identities and experiences of court-involved youth. The proposed framework incorporates the practical implications of Critical Theory, specifically Critical Race Theory, the Theory of African American Offending, and Queer Theory, and relevant practice approaches, such as Social Justice Youth Development and Narrative Therapy, to analyze current youth court practices, propose areas for further evaluation and innovation, and recommend practice enhancements for defense-based forensic social workers. The urgency for innovation in one New England state is illustrated through a case study.

Developing Learning Innovation of Digital Open Badge in Social Studies to Enhance Citizenship Characteristics of Secondary School Students

This study aims to synthesize theories and concepts related to educational management, personality traits, and citizenship characteristics evident in the education systems of the United Kingdom, Canada, the United States, Singapore, and Thailand; to develop an innovative model of open-badge digital social education to enhance the cultivation of citizenship characteristics among high school students in Chiang Mai; and to study the results of developing digital badge innovations to enhance the development of students’ personality traits and citizenship characteristics in the educational innovation area of Chiang Mai province. A mixed-method approach is employed in order to synthesize the universal core values that ensure societal peace within diverse communities from the curricula of the five countries. When comparing the results with the Thai context, it becomes apparent that the Thai curriculum still lacks precise definitions of “universal core values” and activities that instill these core values. Through purposive sampling, this study extracts the necessary values from the opinions of involved personnel and pilot schools in the Education Sandbox program in Chiang Mai. The results suggest that ten core values need to be addressed firmly in the Digital Open Badge learning innovation and guidelines for both in-class and out-of-class activities. The citizenship characteristics platform and guidelines in social studies are designed based on the 5Ts Action Learning model with 40 hours of observation. The outcomes demonstrate that overall satisfaction with the curriculum is high. Notable changes from interviews and observations indicate that responsibility and cooperation are the most significant changes in students’ character traits. These traits are expressed mostly at the individual level (35.02%), followed by the family level (29.39%), the community level (22.62%), and lastly, the global level (12.97%).

Effect of extrusion cooking on physical and thermal properties of instant flours: a review

The production of instant flour constitutes a fast-expanding sector, and, this is an innovative area, that is being modified adjusting continually its methodologies to enhance production efficiency, optimizing its resources, fostering innovation in its applications, and increasing its economic income. Among the methods widely cited for precooked flours production are spray drying, drum drying, and extrusion cooking, the latter emerging as a high-potential and versatile solution to produce such commodities. In this regard, a comprehensive understanding of the extrusion process, its mechanical principles, and its effects on the physical characteristics of extruded raw materials is necessary. Analyzing process parameters (specifical mechanical energy and mean residence time) is essential to achieve the desired outcomes. Furthermore, it was analyzed the effect of the process modification conditions (temperature, screw speed, and moisture content) on the physical characteristics of the extruded instant flours. This review offers insights into the most reported system parameters as Specifical Mechanical Energy (SME), Pressure, Torque and, physical properties assessed in different instant flour obtained by extrusion such as Water Absorption Index (WAI), Water Solubility Index (WSI), Swelling Power (SP), Rehydration Capacity, Wetting Capacity, Sinking, Dispersibility, Pasting properties, Thermal properties, and Color. The review summarized and discussed the behavior of the hygroscopic properties and the water affinity of different instant flours obtained by extrusion.

Challenges and Opportunities in integrating UTMS with Existing Airspace

The aviation industry has both potential and substantial obstacles as it integrates unmanned aerial vehicles (UAVs) into regulated airspace. In order to ensure safe and effective operations in shared airspace, this study examines the difficulties associated with integrating unmanned traffic management (UTM) systems with the current air traffic management infrastructure. By means of an in-depth examination of technological and operational factors, the research delves into the principal obstacles that stakeholders encounter when attempting to regulate the growing number of unmanned aerial vehicles. To promote seamless integration, the study also identifies areas for innovation, including standardized communication protocols, traffic flow management, and cooperative decision-making frameworks. This essay offers important insights into the future of autonomous traffic management and its consequences for the larger aviation ecosystem by fusing current academic findings with industry insights.

Leveraging open data analytics and machine learning to improve mental health research and innovation: 2024 Inter-University Big Data Challenge ProceedingsIn partnership with Canadian Science Publishing, the Canadian Personalized Healthcare Innovation Network, and Underline.io

The National Inter-University Big Data and AI Challenge is an interdisciplinary, agile educational environment that bridges the gap between traditional coursework and real-world data science applications. The challenge provides undergraduate and graduate researchers with the unique opportunity to explore the intersection of Open Data and applied scientific research by developing and presenting their research amongst peers and professionals from academia and industry. By participating, students gain skills in uncovering hidden patterns and trends in structured and unstructured data using a wide range of data analytics tools and programming languages including Python, R, and various machine learning frameworks. They also gain extensive experience with scientific communication by compiling abstracts, manuscripts, posters, and videos which ultimately culminate in a presentation on Big Data Day. The guiding theme for the 2024 National Inter-University Big Data and AI Challenge was “Leveraging Open Data Analytics and Machine Learning to Improve Mental Health Research and Innovation”. During the 2024 event, we saw over 134 participants from over 15 different institutions and 15 different degree programs learn and utilize important techniques in analytics, artificial intelligence (AI), and machine learning (ML) in order to delve into the complexities of mental health diseases and treatments. These future leaders were tasked with using Open Data to enhance our understanding of mental health and explore areas for innovation regarding mental health practice and research, gaining critical insights into this field. Various topics were investigated, ranging from the socioeconomic determinants of mental health to differential outcomes in treatment efficacy across geographic boundaries. By applying computational thinking, students explored the interplay between mental health and external factors, ultimately contributing to the development of tailored interventions and personalized care plans. We are privileged to witness the analytical capabilities of this talented generation of students, and we are confident they will demonstrate excellence throughout their academic and professional careers. The 2024 Big Data Day, the culmination of our participants’ trailblazing research, was held at the Microsoft Headquarters in Toronto. On behalf of STEM Fellowship, we extend our sincere congratulations to all students who participated in the challenge and wish them success in their future endeavours. We also want to express our appreciation to all the STEM Fellowship volunteers who support this program. We greatly appreciate the valuable collaboration and support of our partners: Research Canada, Canadian Science Publishing, CPHIN, Underline, JMIR Publications, Overleaf.

A Comprehensive Review on Novel Pathways in Cancer Treatment: Clinical Applications and Future Prospects.

Cancer is a global health issue that requires ongoing therapeutic advances. This review provides an overview of recent treatment strategies focusing on novel pathways in cancer therapy. Emerging research has unveiled promising targets that go beyond traditional modalities, offering new avenues for precision medicine and improved patient outcomes. One key area of innovation lies in targeted therapies directed at specific molecular pathways implicated in cancer progression. The identification of novel biomarkers has paved the way for the development of precision medicines tailored to individual patient profiles. Immunotherapy has also revolutionised cancer treatment by using the immune system to identify and remove cancer cells. Moreover, advancements in epigenetic therapies and RNA-based interventions demonstrate unprecedented potential in modulating gene expression and disrupting cancer-specific signalling pathways. We have discussed the pathophysiology of cancer, different immune checkpoint inhibitors, and targeted therapies in signalling therapies. The epigenetic modulators, such as Histone deacetylase (HDACs) inhibitors and DNA methyltransferase (DNMT) inhibitors, were studied. Recent breakthroughs in cancer immunotherapy treatment (CAR-T) cell therapy showcase the potential to enhance the immune response against various cancers; thus, related information was incorporated. Further, RNA-based therapies like RNA interference and mRNA-based vaccines and therapies, combination therapies, and novel therapies were discussed in the present article.

Practical Aspects of the Organization of Ergonomics Committees in the Context of the Quality of Ergonomic Activities Undertaken in Manufacturing Enterprises

Theoretical background: In order to systematize ergonomic activities in the enterprise, some of them decide to establish ergonomics committees whose task is to solve problems in this area and also to propose new, often innovative solutions for implementation. The structures of these units often include employees from different departments who have a different view of ergonomics depending on the position they hold. However, the organization of ergonomics committees can cause many problems due to the lack of top-down guidelines for their activities (each company must establish its own rules). In scientific research on the ergonomic aspects of projects, there is a tendency to look for factors that favor the diffusion of ergonomic issues in their implementation. One such factor may be the creation of an ergonomics committee to pursue ergonomic goals. Their activities are not described in detail in the literature (there are no practical guidelines for their functioning), which is why the topic is discussed in this article. Purpose of the article: The main goal of this article is to present propositions for actions that can be taken to systematize the functioning of the ergonomics committees and to link this task with the quality of ergonomics management in manufacturing enterprises. The aim of the article is also to describe, using a practical examples, various aspects of the operation of ergonomics committees and to indicate guidelines for their establishment and activities. Thus, the article aims to fill the research gap in the field of creating ergonomics committees. Research methods: The research used the interview method with participants of ergonomics committees from companies from various industries. The questions were asked in the following groups: organization and functioning of the ergonomics unit in the enterprise and assessment of the effects of the ergonomics team’s activities. The respondents were participants of the ergonomics committees, which was appointed at least 2 years earlier, the industries represented by the respondents are: automotive (2 companies) and furniture production. Data obtained in three selected enterprises (through informal interviews) where such committees operate, as well as a literature review in this area, were used to formulate these suggestions. The results of the undertaken research allowed for the identification of practical aspects of the functioning and organization of the ergonomics committees. This is an innovative area of research due to the fact that few scientific studies describe such units and guidelines for their practical implementation. Main findings: The main result of the undertaken research was to indicate the categories in which the activities of ergonomics committees should be considered and to provide practical guidelines for their activity. These guidelines are presented as structured areas for consideration when establishing an ergonomics committee: (1) establishing the principles of operation and reporting; (2) determining the composition of the committee; (3) determining the scope of activity of the committee; (4) providing appropriate training for committee’s representatives; (5) support for the committee’s activities. The most important conclusion from the undertaken research is the indication that each enterprise must plan the operation of the committee taking into account its internal conditions. The conclusions from the conducted research were supplemented with indications of directions for further research into the conditions for the functioning of ergonomics committees in manufacturing companies.

AI and Social Determinants of Health in Health Care: A Personal Perspective.

As a biomedical data scientist, when I think of the future of artificial intelligence in health care, the potential fills me with both excitement and caution. A promising area of innovation, AI can be used to assess the impact of social determinants of health on health outcomes, though more standardization is needed.

Systematic Review of Kansei Engineering Method Developments in the Design Field

Kansei engineering is a critical method for designing products that meet functionality, usability, and pleasurability, essential elements for business success. Despite its significance, there is limited understanding of how this method has evolved in recent years. This study aims to analyze the development of Kansei Engineering research from 2018 to 2022 using the Scopus database. The research methodology involved stages of identification, screening, filtering, and inclusion, resulting in 41 articles for detailed analysis out of an initial 215. The results indicate that 85% of Kansei Engineering research focuses on tangible products, with 83% categorized as type 1 studies, and 56% not integrating other methods. Additionally, 88% of the studies use only Kansei words, and 41% visualize design results as 3D images, with 95% not considering unique aspects. is dominance of tangible product design and the lack of integration with other methods suggest a need for diversification in research approaches. Furthermore, the high reliance on Kansei words and 3D visualizations points to a potential area for innovation and expansion in research techniques. This review highlights a significant research gap in Kansei Engineering studies, emphasizing the need for more diversified approaches. By identifying these gaps, the study provides a clear direction for future research, recommending that Kansei Engineering should explore beyond the predominant trends and consider integrating with other methods and unique aspects. This can enhance the method's application in industrial engineering and lead to more comprehensive and innovative product designs. Future research should aim to fill these gaps, ensuring that Kansei Engineering continues to evolve and contribute effectively to the field of product design and development.

Производство и применение оксида магния в Российской Федерации

This article presents up-to-date, complementary information from the marketing reviews of the industry for the production and use of magnesium oxide conducted by global analytical companies. It shows a steady growth in the global demand for MgO, observed over the past decade and driven not only by the traditional industries, but also by emerging innovative areas. Global trends indicate an increase in the production of magnesium oxide and the development of new technologies for its extraction. This area provides an opportunity to improve the product quality, increase production efficiency and expand market opportunities due to the active development of high-tech sectors of the economy. Based on marketing analyses, growing competition is revealed both in the global magnesium oxide market in general and in the Russian Federation in particular, which encourages manufacturers to develop innovative products and marketing strategies to retain and expand their share in the market. At the same time, a potential instability has been identified in the magnesia industry, manifested in some world leaders, due to the new environmental requirements that cause restrictions in production, which may lead to problems in supplies around the world.

Exploring the role of interaction in older-adult service innovation: insights from the testing stage

In the context of global aging trends, service innovation targeting older adults is becoming increasingly crucial. Because the traditional focus areas of service innovation have predominantly been design and implementation, a significant gap in the existing literature overlooks the criticality of the testing phase. This oversight is particularly notable in relation to the unique attributes of the older adult population and their interaction dynamics with technology teams in service innovation. To bridge this lacuna, this study introduces a comprehensive framework, meticulously crafted for the testing stage of service innovation tailored to older adults. To validate this framework, a rigorous, four-year empirical research project was undertaken with one of the foremost service providers for older adults in Beijing. The findings robustly support the efficacy of the proposed framework, revealing the indispensable role of the testing phase in ensuring service innovations are aptly aligned with the needs and preferences of the aging demographic. This research enriches the discourse in service innovation, thus underscoring the imperative to integrate the testing phase as a fundamental component in the holistic approach aimed at catering effectively to an aging population.

THE INTERSECTION BETWEEN RULE OF LAW AND ARTIFICIAL INTELLIGENCE

Like every innovation in history, A rtificial I ntelligence also needs to begoverned for its disruptive power and impact on people, economy, society, rights andfreedoms. Its impact does not only concern innovative areas but permeates all corners of ourpersonal, social, economic and professional lives. A rtificia l intelligence has become a centralcomponent of our daily lives in many ways , so the perspectives are both for the positiveresults they can bring to humanity and concerns for their disruptive potential. It bringsstructural changes that are captured by l egal norms, but which sometimes go beyond theexisting legal framework by transforming it. To this global revolution the law response mustprovide an equally innovative approach in order to ensure that complex technology does notundermine the rule of law.