Revolutionary Concept Research Articles

A Simple Route for Open Fluidic Devices with Particle Walls.

Open fluidics, allowing liquid in a flow channel to interact with the external environment, is a revolutionary concept. However, fabricating a highly stable open fluidic device of arbitrary complexity, while maintaining reconfigurability, is still a challenge. This is achieved by the use of a patterned substrate and liquids that are covered with functional, readily available hydrophobic particles, providing great flexibility in the construction and use of open fluidic structures. Decorated with a coating of modified carbon nanotubes (CNTs) to encapsulate the fluids, the study capitalizes on the photothermal characteristics of CNTs to fabricate a device to probe the effects of temperature on tumor chemotherapy. The strategy substantially increases the availability and potential use of open fluidic devices.

Traffic Prevention and Security Enhancement in VANET Using Deep Learning With Trusted Routing Aided Blockchain Technology

ABSTRACTVehicular ad hoc networks (VANETs) in portable broadband networks are a revolutionary concept with enormous potential for developing safe and efficient transportation systems. Because VANETs are open networks that require regular information sharing, it might be difficult to ensure the security of data delivered through VANETs as well as driver privacy. This paper proposes a blockchain technology that supports trusted routing and deep learning for traffic prevention and security enhancement in VANETs. Initially, the proposed Feature Attention‐based Extended Convolutional Capsule Network (FA_ECCN) model predicts the driver's behaviors such as normal, drowsy, distracted, fatigued, aggressive, and impaired. Next, the Binary Fire Hawks‐based Optimized Link State Routing Protocol (BFH_OLSRP) is used to route traffic after trust values have been assessed. Furthermore, Binary Fire Hawks Optimization (BFHO) determines the best routing path based on criteria such as link stability and node stability degree. Finally, blockchain storage is supported by the Interplanetary File System (IPFS) technology to improve the security of VANET data. Additionally, the validation process is established by using Delegated Practical Byzantine Fault Tolerance (DPBFT). As a result, the proposed study employs the blockchain system to securely send data to neighboring vehicles via trust‐based routing, thereby accurately predicting the driver's behavior. The proposed method achieves a better outcome in terms of latency, packet delivery ratio (PDR), overhead packets, throughputs, end‐to‐end delay, transmission overhead, and computational cost. According to simulation results and efficiency evaluation, the proposed approach outperforms existing approaches and enhances vehicle communication security in an effective manner.

Improving the Supraalar Groove Aesthetic Subunit and Lateral Crura Convex-Concave Deformity.

Lateral crura surface problems are one of the most difficult challenges in nose tip surgery. Closed Preservation Rhinoplasty (CPR) is a revolutionary concept keeping nose tip flexibility and elasticity. Solving lateral crura surface problems and keeping tip flexibility the surgeon will accomplish a sharper supraalar groove transition between the dorsum and the tip. The convex-concave lateral crura deformity (CCLCD) or S shape lateral crura is one of the biggest constraints to accomplish a beautiful tip and dorsum-tip transition (DTT). This deformity is the reason of commonly said parenthesis deformity of cephalic malposition. This LLC convexityconcavity shape creates a C shape shadow. This DTT is one of the key areas to accomplish natural results and it depends on different nose structures, not just the lower lateral cartilages (LLC). A total 560 rhinoplasty cases were studied retrospectively between September and December 2023. Three hundred and twenty patients had at least 1 year of follow-up. Patients had follow-up at 2 weeks, 1 month, 3 months, 6 months and 1 year after surgery. No secondary rhinoplasty was included. Just 2 secondary septoplasty cases were included without any nose skin undermining in the previous surgery. Surgical details were documented, including the 6 fundamental steps of this technique (1) mucosal lower lateral incision, (2) dorsum subperichondral dissection and vertical scroll release, (3) lateral crura tail caudal release, lateral crura steal and slide under flap lateralization, (4) upper laterals caudal resection, (5) vertical scroll reconstruction, and (6) turning point extension graft. Three hundred and twenty patients had at least 1 year of follow-up. 516 underwent a closed approach and 47 patients an open approach. All patients had subperichondral dissection of the hump envelope. All patients who underwent a closed approach had a low strip let down dorsal preservation technique. All patients who underwent an open approach had structural technique with spreader flaps or grafts at the keystone area. All the patients underwent their osteotomies with a piezoelectric device. Twenty-three revision surgeries were necessary. CPR taught us how important ligament and soft tissue preservation are. It taught the less damage you do to the nose soft tissues and scaffold the less support you need on it. Surgeons have been over grafting the lateral crura to solve postoperative problems mainly due to dissection problems and lack of lateral crura support. This paper shows how to solve lateral crura surface problems keeping the tip flexible and elastic creating also a nice and natural supraalar groove transition by applying 6 surgical manoeuvres.

Ethical AI in Healthcare: Balancing Innovation with Privacy and Compliance

Within the dynamic and ever-changing healthcare industry, Artificial Intelligence (AI) emerges as a powerful and revolutionary concept capable of transforming patient care, optimising operational processes, and improving clinical decision-making. Nevertheless, the incorporation of artificial intelligence (AI) into healthcare systems gives rise to substantial ethical considerations, especially pertaining to privacy and adherence to regulations. This work examines the ethical aspects of artificial intelligence (AI) in the healthcare sector, highlighting the importance of maintaining a harmonious equilibrium between technical advancement and strict compliance with privacy regulations and legal obligations. Moreover, the use of artificial intelligence in healthcare must adhere to legislative frameworks specifically created to safeguard the rights of humans. This encompasses not just compliance with current rules but also the proactive identification and resolution of developing legal norms as AI technology advances. Healthcare practitioners and artificial intelligence (AI) developers should cooperate to create explicit standards and procedures that conform to existing legislation and expected future rules.

Why Tata Nano Failed? From Ascent to Ashes: Unraveling the Tata Nano Saga – A Chronicle of Triumph, Tragedy, and Missteps

The Tata Nano launched in 2008 was initially marketed as the world's cheapest car, designed to provide an affordable transportation solution for the masses in India. It was a revolutionary concept that aimed to bring mobility to a wider segment of the population. Ratan Tata, the former Chairman of Tata Sons, envisioned the Nano as a symbol of innovation and social impact. Under his leadership, Tata Motors endeavored to create a compact, economical car that could transform the way people in India commuted. The global ambition of the Nano was to showcase India's engineering capabilities and demonstrate how a low-cost, frugal design approach could result in a groundbreaking product. Ratan Tata's vision extended beyond the domestic market, aiming to position the Nano as a viable option for consumers worldwide. However, despite the initial hype and anticipation surrounding the Nano, various factors contributed to its failure in the Indian market. Issues such as quality concerns, safety perceptions, marketing challenges, and changing consumer preferences played a significant role in the Nano's inability to meet sales expectations and establish a sustainable presence in the automotive industry. Ratan Tata made a roapmap to sell Minimum of 3 lacs of Tata Nano car in the first Years, but the reality is Tata Nano couldn’t cross the selling of 3 lacs units even after 8 years, before its get retired. Keywords: Anticipation, Envisioned, Groundbreaking, Innovation, Revolutionary

Phase‐Transition Photonic Brick for Reconfigurable Topological Pathways

AbstractTopological photonic insulators serve as highways for light propagation, enabling photons to be transported with topological protection and enriching the understanding of light‐matter interactions. However, the prohibitive fabrication and non‐reconfigurable functionality of current topological photonics seriously hinder its practical applications. Here, a revolutionary concept of phase‐transition photonic brick is theoretically proposed and experimentally demonstrated, which can be regarded as an ideal building block to develop reconfigurable highways for light propagations. The proposed modular photonic brick not only integrates the inherent benefits of both passive and active topological photonics, but also offers previously unattainable superiority, including flexible scalability, deformability, detachability, and recyclability. Leveraging these benefits, this work provides a groundbreaking topological platform that balances the reconfigurability, multifunctionality, low electrical energy consumption, and low device fabrication cost. By unlocking the potential of recyclable photonic bricks, the work represents a significant step toward realizing the extensive and sustainable practical applications of topological photonics in information processing, computing, communications, and beyond.

Unveiling the Power of the Internet of Things: Exploring Services, Applications, and Overcoming Challenges

The Internet of Things (IoT) has transcended its futuristic perception and become an omnipresent reality. Its pervasive nature encompasses devices, sensors, clouds, big data, and business interactions. This revolutionary concept amalgamates traditional embedded systems with wireless microsensors, automation-driven control systems, and other elements to establish a vast infrastructure. The integration of wireless communication, micro electro mechanical devices, and the Internet has given rise to novel IoT applications. The IoT is essentially a network of interconnected objects accessible through the Internet, each object uniquely identifiable. The advent of IPv6, superseding IPv4, plays a pivotal role in expanding the address space for IoT development. The primary objective of IoT applications is to imbue objects with intelligence, eliminating the need for human intervention. However, the proliferation of smart nodes and the exponential data generated by each node present new challenges pertaining to data privacy, scalability, security, manageability, and other critical issues, which we delve into in this comprehensive exploration

Vibration response on the rod of vortex bladeless wind power generator for a sandwich beam with various face sheets and cores based on different boundary conditions

Vortex-bladeless wind power generators are revolutionary concepts that use wind vortex-induced vibration to generate electricity through oscillation and vibration. This unique approach allows for a simpler design, environmental friendliness, on-site production, and lower initial costs than traditional wind turbines. This article presents a vibration analysis on the rod of a vortex bladeless wind power generator for a sandwich Timoshenko beam with various face sheets, including carbon nanotube (CNT), graphene platelets (GPL), and carbon nanorods (CNR), and cores, including positive and negative Poisson’s ratios in honeycomb structure, porous material, and metal foam. The governing equations of motion are derived using Hamilton’s principle and solved using trigonometric functions for different boundary conditions. The results of this research are compared with previous studies, and the maximum error is 3.05%. This study examined the effects of various parameters on the dimensionless natural frequencies. To obtain the highest peak amplitude for maximum energy harvesting, to choose the best rod for the bladeless wind power generator among the four types of cores and three types of factsheet layers, the honeycomb core with a positive Poisson’s ratio and the GPL-reinforced composite with the SNUPD distribution are selected because they have the most deflection. Some researchers have worked in the field of sandwich beams. Still, in this study, the main goal is to investigate the Timoshenko sandwich beam by examining all types of cores and reinforcements to increase efficiency and optimize bladeless wind generators to achieve maximum power.

SOCIAL STOCK EXCHANGE: A WAY FORWARD TO MAKE INDIA A VIKSIT BHARAT (DEVELOPED NATION) @ 2047

This research paper delves deep into the mechanisms of the Social Stock Exchange, unravelling its potential to shape a sustainable future, where economic growth seamlessly integrates with social well-being, guiding India towards its visionary goal to become developed nation by 2047. This qualitative research study attempts to give comprehensive view on Social Stock Exchange (SSE) proposed in India by providing information on Framework, Global outlook, Significance, Challenges & Limitations of SSE. The study also shows that how this revolutionary concept will significantly contribute to attain United Nations Sustainable Development Goals (SDGs) by 2030 and in the development of India to become Viksit Bharat by 2047.

Essential New Complexity-Based Themes for Patient-Centered Diagnosis and Treatment of Dementia and Predementia in Older People: Multimorbidity and Multilevel Phenomenology.

Dementia is a highly prevalent condition with devastating clinical and socioeconomic sequela. It is expected to triple in prevalence by 2050. No treatment is currently known to be effective. Symptomatic late-onset dementia and predementia (SLODP) affects 95% of patients with the syndrome. In contrast to trials of pharmacological prevention, no treatment is suggested to remediate or cure these symptomatic patients. SLODP but not young onset dementia is intensely associated with multimorbidity (MUM), including brain-perturbating conditions (BPCs). Recent studies showed that MUM/BPCs have a major role in the pathogenesis of SLODP. Fortunately, most MUM/BPCs are medically treatable, and thus, their treatment may modify and improve SLODP, relieving suffering and reducing its clinical and socioeconomic threats. Regrettably, the complex system features of SLODP impede the diagnosis and treatment of the potentially remediable conditions (PRCs) associated with them, mainly due to failure of pattern recognition and a flawed diagnostic workup. We suggest incorporating two SLODP-specific conceptual themes into the diagnostic workup: MUM/BPC and multilevel phenomenological themes. By doing so, we were able to improve the diagnostic accuracy of SLODP components and optimize detecting and favorably treating PRCs. These revolutionary concepts and their implications for remediability and other parameters are discussed in the paper.

The power of intuition in decision-making under operational stress

The decision-making process represents one of the most interesting subjects in the field of cognitive sciences, as it is a concept that requires a complex multi- and interdisciplinary approach. Modern warfare involves operations in environments characterized by a high degree of uncertainty, presenting multiple challenges, and radical and unexpected changes in the situation, which require a sound knowledge of how human thinking works and how we can develop the cognitive processes involved in formulating a decision. The article proposes a brief analysis of the decision-making process by military leaders in situations that involve significant stressors and demand quick and intuitive decisions. For this purpose, the main theoretical and practical aspects discussed in the specialized literature are presented, with an emphasis on applications in the military field. Additionally, the concept of expert intuition is introduced. Although there have been attempts to study this concept since antiquity, the systematic study of this revolutionary concept began in the middle of the 20th century and continues to arouse lively interest even today, remaining the subject of lively academic disputes.

Federated Learning-Based Security Attack Detection for Multi-Controller Software-Defined Networks

A revolutionary concept of Multi-controller Software-Defined Networking (MC-SDN) is a promising structure for pursuing an evolving complex and expansive large-scale modern network environment. Despite the rich operational flexibility of MC-SDN, it is imperative to protect the network deployment against potential vulnerabilities that lead to misuse and malicious activities on data planes. The security holes in the MC-SDN significantly impact network survivability, and subsequently, the data plane is vulnerable to potential security threats and unintended consequences. Accordingly, this work intends to design a Federated learning-based Security (FedSec) strategy that detects the MC-SDN attack. The FedSec ensures packet routing services among the nodes by maintaining a flow table frequently updated according to the global model knowledge. By executing the FedSec algorithm only on the network-centric nodes selected based on importance measurements, the FedSec reduces the system complexity and enhances attack detection and classification accuracy. Finally, the experimental results illustrate the significance of the proposed FedSec strategy regarding various metrics.

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>The rapid advancements in automotive technology and the emergence of next-generation networks such as 5G and 6G are laying the foundation for the internet of vehicles (IoV), a revolutionary concept to transform transportation systems. The convergence of artificial intelligence (AI) and connected vehicles IoV is driving a paradigm shift in the transportation sector, especially in the dynamic framework of 5G and future 6G networks. This survey paper provides a thorough survey of the evolving AI-based IoV security landscape. We explore key areas of 5G/6G networks, focusing on the complex interplay of machine learning (ML) and deep learning (DL) in enhancing vehicle-to-everything (V2X) security and connected vehicles. Addressing the unique challenges of 6G, this paper outlines future directions for improving security and highlights open research issues. This comprehensive survey, which aims to provide information and guidance to both researchers and practitioners, contributes to a detailed understanding of the security issues associated with connected vehicles in the emerging 6G era.</p></div></div></div>

Digital Twins in Type 1 Diabetes: A Systematic Review.

Digital twin is a new concept that is rapidly gaining recognition especially in the medical field. Indeed, being a virtual representation of real-world entities and processes, a digital twin can be used to accurately represent the patients' disease, clarify the treatment target, and realize personalized and precise therapies. However, despite being a revolutionary concept, the diffusion of digital twins in type 1 diabetes (T1D) is still limited. In this systematic review, we analyzed structure, operating conditions, and characteristics of digital twins being developed for T1D. Our search covered published documents until March 2024: 220 publications were identified, 37 of which were duplicated entries; in addition, 173 publications were removed after inspection of titles, abstracts, and keywords; and finally, 11 publications were fully reviewed, of which 8 were deemed eligible for inclusion. We found that all eight methodologies are not comprehensive multi-scale virtual replicas of the individual with T1D, but they all focus on describing glucose-insulin metabolism, aiming to simulate glucose concentration resultant from therapeutic interventions. In this review, we will compare and analyze different factors characterizing these digital twins, such as operating principles (mathematical model, twinning procedure, validation and assessment) and the key aspects for practical adoption (inclusion of physical activity, data required for twinning, open-source availability). We will conclude the paper listing which, in our opinion, are the current limitations and future directives of digital twins in T1D, hoping that this article can be helpful to researchers working on diabetes technologies to further develop the use of such an important instrument.

Lattice battery solar cells: Exceeding Shockley–Queisser limit

AbstractA revolutionary concept of lattice battery solar cell (LBSC) is proposed to leap the conversion efficiency by inherently eliminating two major energy losses of conventional solar cells, namely hot carriers and non‐absorption of the substantial near infrared (NIR) emission. In an LBSC, hot phonon emission will be saved into lattice energy reservoir (LER) through electron–lattice coupling; NIR solar emission is harvested by an NIR‐perovskite composition. The NIR‐generated carriers are upconverted to the conduction band of perovskites driven by LER. The theoretical efficiency of LBSCs is estimated to be over 70%, significantly exceeding the Shockley–Queisser limit. In addition, LBSCs have lower operational temperature, resulting in much improved stability due to the elimination of heating sources from hot carriers. Different from the existing multijunction solar cells, LBSCs will keep the single layer structure with low‐cost fabrication. Therefore, LBSCs could perfectly satisfy the golden triangle of solar cell performance, which prospects great competitive advantage for further commercialization.

Experimental demonstration of plasmon–plasmon scattering paves the way for electromagnetic wave-based digital logic concept

We report the experimental demonstration of plasmon–plasmon scattering at room temperature in the inversion layer of a patterned metal–oxide–semiconductor structure. This fundamental result paves the way for the development of plasmon–plasmon scattering logic, a revolutionary digital logic concept based on the generation, propagation, and manipulation of plasmons in an electron fluid, which was previously theoretically projected to exhibit femtojoule power dissipations and femtosecond switching speeds, while not demanding expensive nanometer-scale silicon (Si) technology fabrication processes for its implementation.

Embracing new disruptions: Business model innovation in the transition to Mobility as a Service (MaaS)

A decade ago, Mobility as a Service (MaaS) has emerged as a revolutionary concept destined to change the traditional transport paradigm. Indeed, MaaS envisions an integrated and on-demand transportation ecosystem where users have access to a variety of mobility options via a unified digital platform that centralizes information, ticketing, and payment systems for different service providers. Recognizing its disruptive potential, in this paper we examinate the effects of MaaS introduction in the market, with a particular focus on businesses within the industry. Specifically, we aim at investigating the dynamic nature of business model innovation within the MaaS business ecosystem, thus capturing the changes, adaptations, and innovations that organizations have undergone, providing valuable insights into the new value creation, capture and delivery mechanisms that have emerged. To achieve these goals, we have employed an inductive, multiple case study approach, focusing on a total of six renowned organizations representing two key actor categories within MaaS ecosystems: service providers and technology providers. Our findings reveal that, despite their heterogeneity, both service and technology providers have adopted similar strategies in their transition to MaaS. Utilizing the value creation, capture, and delivery framework, we developed distinct models for each of these categories. We have identified common firm-specific mechanisms which have been categorized into broader macro-level mechanisms of value creation, capture, and delivery, drawing from existing literature. The findings of this study contribute to the ongoing academic literature related to MaaS and to business model innovation. Furthermore, they offer valuable practical insights for managers and policymakers, providing a guidance for strategic decision-making aimed at fostering the development and sustainability of innovative MaaS systems.

Translation and transnational narratives of revolution: Constructing a critical history in the present

Translation profoundly influenced the creation of a pan-European and transatlantic revolutionary movement at the end of the eighteenth century. Yet the role of translation in extending radical ideas of equality and democracy still remains largely hidden from view. This article draws on the AHRC-funded Radical Translations Project to recover the vitality of translation practices during this period. It argues that activist and militant translators of the revolutionary period turned to translation to construct new genealogies of what they hoped would be a new present and future. These genealogies were transnational in nature. They were also frequently expressed in the form of elaborate metanarratives by which translators sought to give meaning to a sequence of revolutionary events that were still unfolding. The article discusses the significance of these metanarratives for our understanding of how new genealogies come to be forged during a historical moment of great upheaval. It illuminates the role played by multiple, simultaneous chronologies in the transnational circulation of revolutionary concepts and modes of action, and concludes by showing how translation studies can offer the historian new methods for contextualizing the temporality of both national and transnational narratives of revolution.A synopsis of this article can be found here.

Decarbonisation of high-temperature endothermic chemical reaction processes using a novel turbomachine: robustness of the concept to feed variability

This paper presents a revolutionary turbomachinery concept, referred to as the turbo-reactor, which has the potential to replace gas-fired radiant furnaces and decarbonise a wide range of hard-to-abate, high-temperature endothermic chemical reaction processes. Although previous studies by the authors have confirmed the feasibility of using a turbo-reactor for steam cracking reactions, the numerical investigation presented in this work broadens the scope of potential applications for the machine to a variety of energy-intensive chemical processes, including those used for hydrogen production. This step change in technology could be the catalyst needed to enable rapid scale-up of low-carbon hydrogen technology. The innovative design of the turbo-reactor is fundamentally based on converting all of the imparted mechanical energy into internal energy, rather than pressure. This enables temperatures of up to 1,700°C to be achieved within an axial length on the order of one metre, resulting in an increase in the power density of 50 to 1,000 times compared to a surface heat exchanger. This paper presents the first comprehensive analysis of the turbo-reactor’s robustness and controllability across a broad spectrum of feeds, chemical reaction stages, Mach number regimes, and operating points, conclusively demonstrating the feasibility of a universal stage design strategy for repeatedly imparting and dissipating energy for various endothermic reaction processes.

Smart contract: Revolutionizing transactions in the digital age

Blockchain technology is a revolutionary concept that has transformed various industries, offering decentralized and secure solutions for data management. At its core, a blockchain is a distributed and immutable ledger that records transactions across a network of computers. One of the key features of blockchain is its transparency, as each participant in the network has access to the same information. The application of blockchain technology extends across diverse sectors, with finance being the most promising and well-known application domain. Cryptocurrencies, like Bitcoin and Ethereum, rely on blockchain to facilitate secure and transparent transactions. The decentralized nature of blockchain eliminates the need for intermediaries, reducing transaction costs and increasing efficiency. Beyond finance, blockchain is making significant strides in supply chain management. The emergence of blockchain technology has paved the way for a transformative innovation in the realm of digital transactions: smart contracts. These self-executing contracts encoded in blockchain have garnered significant attention for their potential to revolutionize the way agreements are made, executed, and enforced. This paper explores the concept of smart contracts, delving into the underlying technology, finding applications across various industries, legal implications, and future prospects.