Revolutionary Innovation Research Articles

The prospect of the application of human body visualization metaverse in the field of surgery

As 2021 is known as the "first year of the metaverse", the concept of metaverse is promoting a multi-field innovation revolution on a global scale. The new experiences and technologies it brings are expected to provide solutions for the difficulties in the field of human visualization surgery in disease diagnosis, preoperative planning, surgical treatment, medical education, health management and patient experience. This opens up opportunities for the next wave of disruptive technology innovation. This paper proposes a new concept of "human visualization metaverse", and summarizes its innovative application, future development direction and challenges to promote the research and development of human visualization metaverse,and to explore the application potential of metaverse technology in the field of surgery to advance the research and development of the metaverse for human visualization.

Accuracy of robotic-assisted surgery for immediate implant placement in posterior teeth: a retrospective case series

BackgroundRobotic computer-assisted implant surgery (r-CAIS) is a revolutionary innovation in oral implantation; however, the clinical feasibility of r-CAIS for immediate implant placement (IIP) in posterior teeth has not been verified. Thus, this study aimed to evaluate the accuracy of r-CAIS for IIP in posterior tooth regions.MethodsPatients with posterior teeth to be extracted and indicated to undergo r-CAIS were evaluated. The patients had positioning markers installed in the oral cavity and underwent cone-beam computed tomography (CBCT). Subsequently, minimally invasive tooth extractions were performed, and an individualised surgical plan was generated in the robotic software. After marker registration, implantation surgery was performed by the robotic arm under the supervision and assistance of the surgeons. Finally, the deviations between the planned and placed implants were evaluated based on preoperative and postoperative CBCT data.ResultsA total of 12 patients were evaluated. No adverse events occurred during the surgery. The mean global coronal, global apical, and angular deviations were 0.46 ± 0.15 mm (95%CI:0.36 to 0.56 mm), 0.46 ± 0.14 mm (95%CI:0.37 to 0.54 mm), and 1.05 ± 0.55° (0.69 to 1.40°), respectively.ConclusionsUnder the limited conditions of this study, the r-CAIS exhibited high accuracy in posterior teeth IIP surgery. Further multicentre randomised controlled studies are required to confirm the feasibility of this technology.

Revolutionizing cancer treatment: an in-depth exploration of CAR-T cell therapies.

Cancer is a leading cause of fatality worldwide. Due to the heterogeneity of cancer cells the effectiveness of various conventional cancer treatment techniques is constrained. Thus, researchers are diligently investigating therapeutic approaches like immunotherapy for effective tumor managements. Immunotherapy harnesses the inherent potential of patient's immune system to achieve desired outcomes. Within the realm of immunotherapy, CAR-T (Chimeric Antigen Receptor T) cells, emerges as a revolutionary innovation for cancer therapy. The process of CAR-T cell therapy entails extracting the patient's T cells, altering them with customized receptors designed to specifically recognize and eradicate the tumor cells, and then reinfusing the altered cells into the patient's body. Although there has been significant progress with CAR-T cell therapy in certain cases of specific B-cell leukemia and lymphoma, its effectiveness is hindered in hematological and solid tumors due to the challenges such as severe toxicities, restricted tumor infiltration, cytokine release syndrome and antigen escape. Overcoming these obstacles requires innovative approaches to design more effective CAR-T cells, which require a competent and diverse team to develop and implement. This comprehensive review addresses numerous therapeutic issues and provides a strategic solution while providing a deep understanding of the structural intricacies and production processes of CAR-T cells. In addition, this review explores the practical aspects of CAR-T cell therapy in clinical settings.

The Political Economy of Reparations and the Dialectic of Transnational Capitalism

ABSTRACTThe contemporary global capitalist crisis provides the context for studying reparations, the struggles for which face uphill challenges, foremost because transnational capital will only engage with reparations to serve its own interests. Far from being a panacea for historical wrongs, reparations campaigns are shaped by the historical logics of capitalist accumulation and the liberal racial social contract. The cases of Namibia and the Commonwealth Caribbean (CARICOM) that are examined in this study highlight the contradictions that underpin the demand for reparations arising from genocide in Namibia and capitalist slavery in the CARICOM region. The cases reveal an association of reparations initiatives with buying complicity or capitalist fixes rather than reparative justice for historical grievances, while more autonomous demands for reparations face violent suppression, as in the case of Haiti. Today's reparations struggles are further undermined by revolutionary innovations in digital and robotics technology, confronting exploited racialized populations with a rapidly dwindling supply of jobs. This article locates the contemporary reparations debate within the wider context of global capitalism and its racialized liberal foundations, tracing the links between colonial wrongs, international power relations and ongoing systems of capitalist accumulation which reparations are used to stabilize rather than challenge. It is thus difficult to make a case for the transformational potential of reparations.

Autonomous Systems: challenges and opportunities

The dawn of Autonomous Systems has marked a pivotal transformation in the realm of technology, establishing new paradigms in various industries, from healthcare to transportation. These systems, characterized by their ability to operate without human intervention, promise enhanced efficiency, precision, and adaptability in tasks otherwise prone to human error or constraints. However, as with all revolutionary innovations, they bring forth a plethora of challenges. This paper aims to provide a comprehensive exploration of Autonomous Systems, discussing their architectures, applications, and the intricacies of their operation. We delve into the pressing challenges, both ethical and technical, and speculate on the potential future trajectories of this transformative technology. By amalgamating insights from diverse disciplines, this paper offers a holistic perspective on Autonomous Systems, setting the stage for informed discourse and future research endeavors.

Rheological analysis of pressure-driven Jeffrey fluid flow between corrugated porous curved walls with slip constraints

Pressure-driven movement is a fundamental concept with numerous applications in various industries, scientific disciplines, and fields of engineering. Its proper execution is vital for promoting revolutionary innovations and providing solutions in numerous sectors. Therefore, this article scrutinizes the pressure-driven flow of a magnetized Jeffrey fluid between two curved corrugated walls. The geometry of the channel is represented mathematically in an orthogonal curvilinear coordinate system. The corrugation grooves are described by sinusoidal functions with phase differences between the corrugated curved walls. The boundary perturbation method is used to find the analytical solution for the velocity and temperature taking the corrugation amplitude as the perturbation parameter. Furthermore, the volumetric flow rate, skin friction coefficient, and local Nusselt numbers are precisely calculated numerically for a variety of parameters, with the results presented comprehensively in tabular form. The impact of dissimilar parameters, such as the curvature parameter, wave number, magnetic parameter, Darcy number, thermal radiation, heat source/sink parameter, Jeffery fluid parameter, and amplitude parameter, on the flow fields is analyzed through graphical and tabular forms and discussed in detail. The results show that the velocity profile increases due to the curvature parameter and the Jeffrey fluid parameter. However, it decreases due to the magnetic parameter. The temperature distribution rises with the thermal slip and heat source/sink parameters. Meanwhile, it declined for the radiation parameter and the curvature parameter. The model can be used to simulate blood flow in arteries with varying geometries and magnetic fields, aiding in the study of cardiovascular diseases and the design of medical devices such as stents.

A study on the pressure‐driven flow of magnetized non‐Newtonian Casson fluid between two corrugated curved walls of an arbitrary phase difference

AbstractPressure‐driven movement is a fundamental concept with numerous applications in various industries, scientific disciplines, and fields of engineering. Its proper execution is vital for promoting revolutionary innovations and providing solutions in numerous sectors. Therefore, this article scrutinizes the pressure‐driven flow of magnetized Casson fluid between two curved corrugated walls. The geometry of the channel is represented mathematically in an orthogonal curvilinear coordinate system. The corrugation grooves are described by sinusoidal functions with phase differences between the corrugated curved walls. The boundary perturbation method is used to find the analytical solution for the velocity field and volumetric flow rate, taking the corrugation amplitude as the perturbation parameter. The results show that the peak of the velocity increases with the radius of curvature and the width of the channel for a constant pressure gradient. The velocity exhibited a declining trend due to an increase in the Casson fluid parameter. For a sufficiently large corrugation wavenumber, the flow rate decreases, and the phase difference becomes irrelevant. However, the reduction in flow can be minimized by decreasing the channel radius of curvature. In general, a smooth curved channel will give the maximum flow rate for a large corrugation wavenumber. The model can be used to simulate blood flow in arteries with varying geometries and magnetic fields, aiding in the study of cardiovascular diseases and the design of medical devices like stents.

Sensing Technologies and Automation: Revolutionizing Aquaculture toward Sustainability and Resilience

Given the aquaculture industry’s role at the forefront of addressing food security challenges facing the growing global population, the aquaculture sector also encounters various constraints that can impact its productivity, sustainability and resilience. These constraints including environmental issues, diseases, high reliance on the workforce and competition for water resources. This review provides an overview of the roles of sensing and automation technologies in revolutionizing aquaculture toward sustainability and resilience. Innovations in sensing and automation stand out as among the critical game-changing advancements that are transforming the way aquaculture industry operates. Intelligent sensing technologies offer major advantages in monitoring the environment, animal behavior and growth, as well as early detection of diseases. By integrating advanced smart sensing devices, internet of things (IoT), artificial intelligence (AI) and automated response devices, aquaculture operations can be observed and managed remotely in real-time, leading to enhanced productivity, efficiency, resource utilization, environmental friendliness, reduced workforce dependency and competition over water. Through these revolutionary innovations, the aquaculture industry fosters a more sustainable and resilient future while contributing toward food security. Collaborative engagement of all stakeholders is crucial in realizing the full potential of sensing and automation innovations in aquaculture.

Exploring the Composition of Egyptian Faience

Egyptian Faience, a revolutionary innovation in ancient ceramics, was used for crafting various objects, including amulets, vessels, ornaments, and funerary figurines, like shabtis. Despite extensive research, many aspects of ancient shabti production technology, chemistry and mineralogy remain relatively understudied from the 21st to the 22nd Dynasty, belonging to a recovered 19th-century private collection. The fragments’ origin is tentatively identified in the middle Nile valley in the Luxor area. Our study focused on a modest yet compositionally interesting small collection of shabti fragments to provide information on the glaze’s components and shabti’s core. We found that the core is a quartz and K-feldspars silt blended with an organic component made of plastic resins and vegetable fibres soaked with natron. The studied shabti figurines, after being modelled, dried, and covered with coloured glaze, were subjected to a firing process. Sodium metasilicate and sulphate compounds formed upon contact of the glaze with the silica matrix, forming a shell that holds together the fragile inner matrix. The pigments dissolved in the sodic glaze glass, produced by quartz, K-feldspars, and natron frit, are mainly manganese (Mn) and copper (Cu) compounds. The ratio Cu2O/CaO > 5 produces a blue colour; if <5, the glaze is green. In some cases, Mg and As may have been added to produce a darker brown and an intense blue, respectively. Reaction minerals provided information on the high-temperature firing process that rapidly vitrified the glaze. These data index minerals for the firing temperature of a sodic glaze, reaching up to a maximum of 1050 °C.

DEVELOPMENT OF INNOVATIVE TECHNOLOGIES IN CONSTRUCTION AND CIVIL ENGINEERING IN THE CONTEXT OF DIGITALIZATION OF THE UKRAINIAN ECONOMY

Purpose. Construction and civil engineering, traditionally perceived as conservative industries, also feel the need to adapt to the demands of the time and introduce innovative technologies. Ukraine, entering the era of digital transformation, is actively developing and implementing new technologies in the construction industry. Therefore, systematization and coverage of key aspects of the impact of digital Transformation into the construction industry and civil engineering in Ukraine is the main task today. Methodology. The introduction of Internet of Things technologies in the construction industry expands the possibilities of building control and management. Findings. Sensors located in different parts of the structures allow you to monitor the condition of the building in real time, identify possible problems and ensure the safety of objects. Artificial intelligence is becoming an integral part of the digital transformation of construction. Machine learning algorithms help predict and optimize construction processes, which increases Efficiency of planning and resource management. The 3D printing system in construction is one of the promising and revolutionary innovations that is already influencing traditional approaches to construction processes. This digital technique will bring significant changes to the field of construction, accelerating and optimizing a number of stages from design to execution Originality. Analysis of current problems, especially now, in the difficult times of war, industrial construction in Ukraine, as well as around the world, is a promising direction for the development of other industries in general. Industrial construction is an important branch of the construction industry that specializes in the creation and operation of buildings and infrastructure facilities for industrial needs. Practical value. The introduction of innovative technologies in construction and civil engineering in the context of digitalization of the Ukrainian economy has a significant practical impact on various aspects of the industry: Improving Construction Productivity and Quality: Use of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), virtual reality (VR) and augmented reality (AR), allows you to increase the efficiency of construction processes, reduce the time of work and avoid errors; Cost optimization: Using machine learning algorithms to predict resource needs, such as materials and labor, allows you to rationalize costs and reduce construction costs.

Treasures of Italian Microbial Culture Collections: An Overview of Preserved Biological Resources, Offered Services and Know-How, and Management

Microorganisms, microbiomes, and their products (e.g., enzymes, metabolites, antibiotics, etc.) are key players in the functioning of both natural and anthropized Earth ecosystems; they can be exploited for both research purposes and biotechnological applications, including fighting the big challenges of our era, such as climate change. Culture collections (CCs) and microbial Biological Resource Centres (mBRCs) are repositories of microorganisms that investigate and safeguard biodiversity and facilitate the scientific and industrial communities’ access to microbial strains and related know-how by providing external users with skills and services. Considering this, CCs and mBRCs are pivotal institutions for the valorisation of microorganisms, the safeguarding of life, and the fostering of excellent bioscience. The aim of this review is to present the state-of-the-art of Italian CCs and mBRCs, highlighting strengths, weaknesses, threats, and opportunities. Italy is, indeed, a hotspot of microbial biodiversity with a high rate of endemism and incredible potential, not only for the food and beverage sector (i.e., “Made in Italy” products), where microorganisms can have a beneficial or a spoiling function, but also to guarantee environmental sustainability and foster the bioeconomy through the design of new bioprocesses and products. However, weaknesses, such as the lack of management rules in accordance with international quality standards, are also analysed and ways of overcoming them are discussed. In this context, an overview is given of the Joint Research Unit MIRRI-IT and the European-funded SUS-MIRRI.IT project, which aims to improve the management and sustainability of Italian microbial collections, and serves as a starting point for an innovative revolution in the context of CCs and mBRCs worldwide.

Analysis of Matisse's Painting Style

Henry Matisse is an important representative of contemporary "Fauvism" and a revolutionary figure in Western art history. The artistic concept he advocated broke free from the constraints of traditional painting, broke free from traditional colors and forms, and achieved a revolutionary innovation. "The Harmony of Red" is an important work by Mattis, who abandoned traditional views and created a harmonious, relaxed, and peaceful atmosphere by linking colors with vine patterns. This transformation has had a profound impact on contemporary painting.

A trust based secure access control using authentication mechanism for interoperability in internet of things

The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.

Atatürk and Japan

Mustafa Kemal Atatürk, the founder of the Republic of Türkiye, and Emperor Mutsuhito (Meiji), the architect of modern Japan, are two important leaders who tried to bring their countries, (which had experienced great social, economic, and political traumas), to the level of developed countries with the revolutionary innovations they introduced by restructuring their administrative systems. Western civilization has undoubtedly set a great example for this path of innovation. Following Meiji Japan’s success on the road to Westernization, its transformation from a poor and powerless country into a powerful country with industry, economy, know-how, and even an army, along with its defeat of first China (1894-1895) and then Russia (1904-1905) in war, influenced Atatürk, like many other intellectuals of the period. Today, based on some of Mustafa Kemal’s writings about the Russo-Japanese War, it is claimed that he had great sympathy for Japan and used Japan as an example when carrying out his revolutions. It is also claimed that Atatürk learned Japanese and even had the Tokyo Mosque built. In this study, Atatürk’s views on Japan and whether Japan served as an example in the Turkish revolutions will be discussed in light of the available information and documents.

Exploring ChatGPT for next-generation information retrieval: Opportunities and challenges

The rapid advancement of artificial intelligence (AI) has spotlighted ChatGPT as a key technology in the realm of information retrieval (IR). Unlike its predecessors, it offers notable advantages that have captured the interest of both industry and academia. While some consider ChatGPT to be a revolutionary innovation, others believe its success stems from smart product and market strategy integration. The advent of ChatGPT and GPT-4 has ushered in a new era of Generative AI, producing content that diverges from training examples, and surpassing the capabilities of OpenAI’s previous GPT-3 model. In contrast to the established supervised learning approach in IR tasks, ChatGPT challenges traditional paradigms, introducing fresh challenges and opportunities in text quality assurance, model bias, and efficiency. This paper aims to explore the influence of ChatGPT on IR tasks, providing insights into its potential future trajectory.

The Adoption of Blockchain Technology the Business Using Structural Equation Modelling

There are many aspects of readiness that must be considered when implementing technological breakthroughs, the business sector is still relatively slow in adopting blockchain technology. However, considering that blockchain technology is still in its early stages of development and has many potential applications, it is necessary to conduct empirical studies on the factors influencing its application in the industry. The problem of this study is to develop an appropriate framework based on how well its features match the needs of the business sector. This research method uses data collection using online questionnaires to obtain information from 86 respondents. The current study also utilizes the Smart PLS 4 model to produce a structural hypothetical model. The results of this study find a significant influence on Revolutionary Innovation by enriching the literature on the relationship between Blockchain, Big Data and the Business Sector, which is expanded by adding new variables. The novelty of this research identifies potential utilization, analyzes internal and external factors, and identifies how blockchain disrupts the business sector. The purpose of this study is to assess how blockchain technology is currently used in the business sector for data provision as a theoretical information technology innovation

Integrated Devices: A New Regulatory Pathway to Promote Revolutionary Innovation.

Policy Points Current medical device regulatory frameworks date back half a century and are ill suited for the next generation of medical devices that involve a significant software component. Existing Food and Drug Administration efforts are insufficient because of a lack of statutory authority, whereas international examples offer lessons for improving and harmonizing domestic medical device regulatory policy. A voluntary alternative pathway built upon two-stage review with individual component review followed by holistic review for integrated devices would provide regulators with new tools to address a changing medical device marketplace.

Unveiling Ethereum’s Future: LSTM-Based Price Prediction and a Systematic Blockchain Analysis

Cryptocurrency has emerged as a revolutionary innovation that has been replacing traditional finances and enthralling the worldwide technology landscape. This has gained a lot of popularity worldwide for its potential to enable peer-to-peer transactions and offer opportunities for investment and novelty. Nevertheless, it gives rise to issues concerning regulatory adherence, instability, and security apprehensions, turning them into a topic of continuous evaluation and investigation within the fields of finance and technology. This research paper presents a comprehensive exploration of the historical evolution of “Ethereum” as one of the leading blockchain platforms, with a primary focus on price prediction using a long-short-term memory (LSTM) machine learning model. The study includes various critical aspects of Ethereum, starting from its historical evolution to its potential future scope in scaling solutions and payments, and also covering the insights of Ethereum’s tokenomics, utility, and beyond. In addition, the methodology involves using the LSTM model to analyze data from Ethereum. The accuracy of price predictions is assessed by evaluating error metrics and further improved by visualizing the data through graphs that show indicators. This paper gives an in-depth perspective for anyone who is seeking a holistic understanding of cryptocurrencies, mainly concentrated on Ethereum, and also provides valuable guidance to investors, developers, and enthusiasts, encouraging them to make knowledgeable decisions in the ever-changing blockchain ecosystem.

Makijaveli o arte dello stato

In his extraordinary study From Politics to Reason of State, Professor Maurizio Viroli (1992) points out the moment when the ancient notion of politics was replaced with the Renaissance and modern understanding of the reason of state. What was left out of the research was the fact that the political theory register introduced a new term which explains this transition and derogation from the classical notion of politics. The Machiavellian term arte dello stato, describing actions of agents of politics, represents a revolutionary innovation, and this is the process whose development I wish to address in this paper, as well as to explain what it means. Finally, with regard to the historical context, I aim to show that it is precisely the practice of political agents of the time that Machiavelli used to frame the new idea.

Revolutionary Innovations in Diabetes Research: From Biomarkers to Genomic Medicine

Diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia resulting from inadequate insulin signaling. Current management relies on biomarkers such as hemoglobin A1c (HbA1c) to guide therapy, but emerging tools offer opportunities to transform care through more personalized approaches. Molecular biomarkers, including microRNAs, metabolites, and proteins, may enable better prediction of disease course and risk of complications in individuals. Genomic medicine leverages knowledge of genetic architecture to guide tailored prevention and treatment based on an individual’s genomic profile. Stem cell research differentiates functional insulin-secreting cells for transplantation into patients as an alternative to exogenous insulin. Gene silencing techniques such as RNA interference can restore defective insulin production and secretion pathways by inhibiting dysregulated gene expression. Artificial intelligence applications automate glucose monitoring, insulin delivery, diagnostic screening for complications, and digital health coaching. Despite barriers to translation, these technologies have disruptive potential for predictive, preventive, precise, and participatory care paradigms in diabetes management. Continued research on molecular biomarkers, pharmacogenomics, stem cell therapies, gene editing, and artificial intelligence (AI) aims to improve patient outcomes through more personalized approaches tailored to the specific biological vulnerabilities underlying each individual’s diabetes.