Technological Revolution Research Articles

Enhancing English Vocabulary Learning through Mobile Apps: A New Paradigm in Educational Technology

The technological revolution, particularly pertaining to smartphones, has revitalised the means by which educational methodologies were approached and implemented, most notably with respect to English language learning. This study explores the effectiveness of mobile applications in the improvement of English vocabulary acquisition among university students. The present study is about the perception and usage of mobile application patterns used in learning English vocabulary. It is based on a structured survey carried out on undergraduate students, of which the sample was selected from various disciplines at a private University. This paper outlines a survey on preferences for mobile apps against traditional methods of learning and finds out at what frequency, duration, and even perceived benefits of such tools in language learning. These indicate a strong preference for such apps to learn vocabulary, with overwhelming numbers of students in big schools, far and near, using these apps daily or at least weekly. The results put emphasis on the fact that mobile apps provide easy ways through which students can learn vocabulary flexibly and efficiently. The features of gamification and the required pronunciation help are most appreciated when built inside mobile applications. This shows that interactive elements with audio-visual effects are doing their work in learning engagement and effectiveness.

Decoding marfanoid syndrome: Breakthroughs in genetic understanding

Marfanoid Syndrome (MFS), a rare and complex genetic disorder, has long eluded a complete understanding of its intricate web of manifestations and underlying genetic factors. This review navigates the recent landscape of genetic research, offering an in-depth exploration of breakthroughs that have reshaped our comprehension of MFS. Focusing on pivotal genetic markers such as FBN1, TGFBR1, and TGFBR2, it unveils the specific mutations integral to the syndrome's clinical tapestry. Advancements in genomic technologies, notably next-generation sequencing and CRISPR-Cas9 gene editing, have propelled the field forward, accelerating the identification and analysis of genetic mutations with unprecedented precision. The review sheds light on how these technological strides have not only uncovered new genetic markers but also illuminated the intricate interplay of genes influencing the pathogenesis of MFS. Precision medicine takes center stage in the therapeutic frontiers, as understanding specific genetic mutations enables tailored interventions. This review provides a holistic perspective, encompassing genetic landscapes, technological revolutions, and emerging therapeutic paradigms, aiming to contribute to the ongoing discourse, foster a proactive approach to patient care, and inspire further research in the dynamic realm of MFS.

6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges.

In the rapidly evolving landscape of wireless communication, each successive generation of networks has achieved significant technological leaps, profoundly transforming the way we connect and interact. From the analog simplicity of 1G to the digital prowess of 5G, the journey of mobile networks has been marked by constant innovation and escalating demands for faster, more reliable, and more efficient communication systems. As 5G becomes a global reality, laying the foundation for an interconnected world, the quest for even more advanced networks leads us to the threshold of the sixth-generation (6G) era. This paper presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. This study delves into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies. We dissect the intricacies of cutting-edge innovations like terahertz communication, ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum communication, and reconfigurable intelligent surfaces. Through a meticulous analysis, we evaluate the strengths, weaknesses, and state-of-the-art research in these areas, offering a wider view of the current progress and potential applications of 6G networks. Central to our discussion is the transformative role of AI in shaping the future of 6G networks. By integrating AI and ML, 6G networks are expected to offer unprecedented capabilities, from enhanced mobile broadband to groundbreaking applications in areas like smart cities and autonomous systems. This integration heralds a new era of intelligent, self-optimizing networks that promise to redefine the parameters of connectivity and digital interaction. We also address critical challenges in the deployment of 6G, from technological hurdles to regulatory concerns, providing a holistic assessment of potential barriers. By highlighting the interplay between 6G and AI technologies, this study maps out the current landscape and lights the path forward in this rapidly evolving domain. This paper aims to be a cornerstone resource, providing essential insights, addressing unresolved research questions, and stimulating further investigation into the multifaceted realm of 6G networks. By highlighting the synergy between 6G and AI technologies, we aim to illuminate the path forward in this rapidly evolving field.

Exploring the Path of Cultivating College Students’ “Innovation and Entrepreneurship” Ability under the Integration of Research and Teaching

In higher education, research and teaching supplement and support each other. Under the trend of deep integration of the new round technological and industrial revolution, the transformation role of higher education in technological innovation and industrial development is becoming increasingly prominent. The integration of research and teaching is an important measure to solve the problem of separation and even contradiction between education and scientific and technological research. The dialectical and unified theoretical mechanism among education, technology, and talent can promote the integration of research and teaching from three aspects: education and teaching, technological innovation, and talent cultivation, in response to the problems and difficulties in the current “innovation and entrepreneurship” ability of college students. This can promote the improvement of college students’ “innovation and entrepreneurship” ability.

IoT Based Drone Control

The integration of drones into various sectors has sparked a technological revolution, reshaping industries and redefining possibilities. This abstract delves into the multifaceted dimensions of drones, examining their evolution, applications, challenges, and future prospects. From aerial photography to disaster relief, drones have transcended traditional boundaries, fostering innovation and efficiency. However, ethical dilemmas, regulatory hurdles, and security concerns loom large, necessitating a balanced approach towards their deployment. As drones continue to soar to new heights, understanding their abstract impact on society becomes imperative for navigating the complexities of the modern technological landscape. Keywords: Some key words associated with drones are: ➢ UAV (Unmanned Aerial Vehicle) ➢ Quadcopter ➢ Remote-controlled aircraft ➢ Multirotor ➢ GPS navigation ➢ FPV (First Person View) ➢ Autopilot ➢ Payload ➢ Gimbal ➢ Telemetry

The Rise and Fall of Technological Leadership: General-Purpose Technology Diffusion and Economic Power Transitions

Abstract How do technological revolutions affect the rise and fall of great powers? Scholars have long observed that major technological breakthroughs disrupt economic power balances, yet they rarely investigate how this process occurs. Existing studies establish that a nation’s success in adapting to revolutionary technologies is determined by the fit between its institutions and the demands of these technologies. The standard explanation emphasizes institutions suited for monopolizing innovation in new, fast-growing industries (leading sectors). I outline an alternative pathway based on general-purpose technologies (GPTs), foundational advances that boost productivity only after an extended diffusion process across many sectors. Specifically, GPT diffusion demands institutional adaptations that widen the base of engineering skills associated with a GPT. To test this argument, I set the GPT mechanism against the leading-sector mechanism across three cases, which correspond to past industrial revolutions: Britain’s rise to preeminence in the early nineteenth century; the United States’s overtaking of Britain before World War I; Japan’s challenge to US technological dominance in the late twentieth century. The findings support a novel explanation for technology-driven power transitions, directly bearing on how emerging technologies like AI, which some regard as driving a fourth industrial revolution, could influence a possible US–China power transition.

Small firm auditing using the analytical procedures (APs) in a politically challenging context

PurposeThis study aims to explore the use, effectiveness, motives and obstacles of analytical procedures (APs) used by auditors in Palestine, a context characterised by a pool of small and medium enterprises (SMEs), a limited skill set, poor quality of data, political uncertainty and a community-based business culture.Design/methodology/approachThe study considers the audit market in Palestine using a sequential mixed-methods approach combining a questionnaire survey and a series of in-depth interviews. A total of 129 Big-4 and non-Big-4 auditors were surveyed.FindingsThe use of APs is driven by the auditor size (Big-4 vs non-Big-4) and the client size (large vs SMEs). Even though the use of APs has increased over the past decade, audit objectives, know-how, and personal, family and social connections among auditors and clients influence the quality of the audit process.Practical implicationsSmall firms take advantage of the lack of audit governance in Palestine. Our findings suggest that the regulators should help bridge the knowledge-sharing programmes between the small and large audit firms to help improve audit quality.Originality/valueStudies on audit quality, particularly using APs, in the context of politically unstable cases such as Palestine are limited. The study has implications for the use of APs in the case of SMEs to prepare for the technological revolution that will modernise audit procedures and quality soon.

The impact of climate risk on technological progress under the fourth industrial era

Identifying the vital role of climate risk in developing technology is significant to promote the Fourth Industrial Revolution. The research utilises the full and sub-sample methodologies to capture the connection of the Southern Oscillation Index (SOI) and technological progress (TP) from the global perspective. In light of the quantitative discussion, we conclude that positive and adverse effects exist of SOI on TP, and the favourable one suggests that the La Nina phenomenon promotes technological progress. However, this opinion cannot be established in the adverse effect of SOI on TP that accompanies the La Nina phenomenon, which is primarily caused by the global financial crisis. Other adverse effects that accompany the El Nino phenomena point out that these climate risks are conducive to developing technology. In turn, the favourable and adverse influences from TP to SOI are accompanied by the El Nino phenomenon and La Nina event respectively, underlining that the development of technology is beneficial for alleviating climate risk. In the context of an increasingly severe climate crisis and a new round of scientific and technological revolution, this article will put forward valuable suggestions to tackle climate risk in the context of the Fourth Industrial Revolution.

Artificial Intelligence Applied for Smart Electric Microgrids: A Literature Review

Energy production schemes are subject to a constant scientific and technological revolution due to fluctuating social, economic, and political changes. The integration of new ways of power generation, electrical and electronic elements that consume the power generated and require specific energy quality policies, electric vehicles, energy efficiency, energy management, architecture reliability, bidirectional communication, and resilience are some challenges control strategies face. Technology and science have supported and faced this challenge in energy production schemes, especially in intelligent electrical microgrids. This article presents a comprehensive review of the state of the art of artificial intelligence techniques that are applied to face the various challenges of operation, control, and coordination in a Smart Electric Microgrid (SEM). In particular, how artificial intelligence develops and faces challenges in central areas in an SEM architecture.

The scope of artificial intelligence in retinopathy of prematurity (ROP) management.

Artificial Intelligence (AI) is a revolutionary technology that has the potential to develop into a widely implemented system that could reduce the dependence on qualified professionals/experts for screening the large at-risk population, especially in the Indian scenario. Deep learning involves learning without being explicitly told what to focus on and utilizes several layers of artificial neural networks (ANNs) to create a robust algorithm that is capable of high-complexity tasks. Convolutional neural networks (CNNs) are a subset of ANNs that are particularly useful for image processing as well as cognitive tasks. Training of these algorithms involves inputting raw human-labeled data, which are then processed through the algorithm's multiple layers and allow CNN to develop their own learning of image features. AI systems must be validated using different population datasets since the performance of the AI system would vary according to the population. Indian datasets have been used in AI-based risk model that could predict whether an infant would develop treatment-requiring retinopathy of prematurity (ROP). AI also served as an epidemiological tool by objectively showing that a higher ROP severity was in Neonatal intensive care units (NICUs) that did not have the resources to monitor and titrate oxygen. There are rising concerns about the medicolegal aspect of AI implementation as well as discussion on the possibilities of catastrophic life-threatening diseases like retinoblastoma and lipemia retinalis being missed by AI. Computer-based systems have the advantage over humans in not being susceptible to biases or fatigue. This is especially relevant in a country like India with an increased rate of ROP and a preexisting strained doctor-to-preterm child ratio. Many AI algorithms can perform in a way comparable to or exceeding human experts, and this opens possibilities for future large-scale prospective studies.

The Flipped-based WebQuest Model (FWQ): An Innovative Approach for Teaching Grammar and Alleviating Students’ Anxiety

Digital learning tools and web-based approaches have been widely used among educators to cope with learners’ needs and demands in the era of the technological revolution, especially after the COVID-19 pandemic. This study investigates how using the FWQ (Flipped-based WebQuest) model and WQ (WebQuest) with EFL preparatory students could influence their grammar proficiency and reduce their anxiety in language learning. The sample comprised 106 English as a Foreign Language (EFL) students in the preparatory stage. They were divided into two experimental groups (FWQ, WQ) and one control group. The first experimental group (n=35) studied through the FWQ model, the second (N=34) used WQ, and the control group (n=37) learned using traditional learning. A pre/post grammar test, a pre/post grammar anxiety scale and an FWQ questionnaire were used to assess the effect of the independent variables on EFL grammar proficiency. A paired sample T-test and ANOVA were run to calculate the improvement. The outcomes revealed that both FWQ and WQ are effective strategies, but the results are significant in the FWQ model due to the combination of Flipped and WebQuest learning.

Two-Dimensional Semiconductors and Transistors for Future Integrated Circuits.

Silicon transistors are approaching their physical limit, calling for the emergence of a technological revolution. As the acknowledged ultimate version of transistor channels, 2D semiconductors are of interest for the development of post-Moore electronics due to their useful properties and all-in-one potentials. Here, the promise and current status of 2D semiconductors and transistors are reviewed, from materials and devices to integrated applications. First, we outline the evolution and challenges of silicon-based integrated circuits, followed by a detailed discussion on the properties and preparation strategies of 2D semiconductors and van der Waals heterostructures. Subsequently, the significant progress of 2D transistors, including device optimization, large-scale integration, and unconventional devices, are presented. We also examine 2D semiconductors for advanced heterogeneous and multifunctional integration beyond CMOS. Finally, the key technical challenges and potential strategies for 2D transistors and integrated circuits are also discussed. We envision that the field of 2D semiconductors and transistors could yield substantial progress in the upcoming years and hope this review will trigger the interest of scientists planning their next experiment.

Recent advances in carbon quantum dots for gene delivery: A comprehensive review.

Gene therapy is a revolutionary technology in healthcare that provides novel therapeutic options and has immense potential in addressing genetic illnesses, malignancies, and viral infections. Nevertheless, other obstacles still need to be addressed regarding safety, ethical implications, and technological enhancement. Nanotechnology and gene therapy fields have shown significant promise in transforming medical treatments by improving accuracy, effectiveness, and personalization. This review assesses the possible uses of gene therapy, its obstacles, and future research areas, specifically emphasizing the creative combination of gene therapy and nanotechnology. Nanotechnology is essential for gene delivery as it allows for the development of nano-scale carriers, such as carbon quantum dots (CQDs), which may effectively transport therapeutic genes into specific cells. CQDs exhibit distinctive physicochemical characteristics such as small size, excellent stability, and minimal toxicity, which render them highly favorable for gene therapy applications. The objective of this study is to review and describe the current advancements in the utilization of CQDs for gene delivery. Additionally, it intends to assess existing research, explore novel applications, and identify future opportunities and obstacles. This study offers a thorough summary of the current state and future possibilities of using CQDs for gene delivery. Combining recent research findings highlights the potential of CQDs to revolutionize gene therapy and its delivery methods.

Advanced Inorganic Semiconductor Materials

The information technology revolution has been based decisively on the development and application of inorganic semiconductors [...]

Turning fragments into a lens: Technological change, industrial revolutions, and labor

During the last fifty years, the world has experienced the full effects of the third industrial revolution (workplace computerization and ICTs) and the beginnings of the fourth industrial revolution (automation and digitalization of the production process). As massive transformations for societies and national economies, those technological disruptions have brought several changes for companies' and individuals' interactions in the labor market. The relationship between technology and work has been primarily studied from economics, sociology, and managerial perspectives. However, the dispersion of the narratives of technological change and the disciplinary perspectives provides a complex standpoint for analyzing the phenomenon between both moments of technological disruption. This paper presents a history of how the labor market has evolved in the context of technological change.

LEGISLATIVE REGULATION OF BOTH CRIMES OF THREAT AND INFORMATIONAL BLACKMAIL- ANALYTICAL FUNDAMENTAL STUDY OF SAUDI INFORMATIONAL CRIMES LAW

Objective: This research discusses one of the most important issues resulting from the rapidly developed technological revolution, as coercion and electronic extortion have become one of the negative results of that revolution.
 
 Theoretical Framework: the coercion and electronic extortion is the most common negative results of that revolution, particularity that they do not require more tools or effort, as all the blackmailer needs is a picture, or an audio recording, or something that combines both of the picture and audio recording, or even a piece of information, on any social networking site, so that he, then, weaves the threads of his planned crime, behind which he intends to achieve specific goals, which are most cases achieving material or moral gain, engaging in a forbidden sexual relationship, or similar benefits. In addition, this crime is rapid spread due to its electronic nature. Accordingly, it is necessary to learn about these serious crimes.
 
 Methods: The researcher used the analytical fundamental approach to study the crime and its elements and analyze the legal provisions with the objective down to reach forms of the implementation of the crime and its elements and the penalty to be imposed on the criminal regarding this crime.
 
 Results and Discussion: This research work was divided into two sections. The first section discusses the definition of crime of coercion and its conditions, and the definition of crime of the electronic blackmail, and types and goals of the blackmail. As for the second section, it discusses elements of realization the crime and the punishment determined thereto by Law.
 
 Concluion: The crime of coercion and extortion goes through several stages, and the offender’s goal is to achieve his desires, whether material, moral, or sexual.

User-empowered secure privacy-preserving authentication scheme for Digital Twin

Digital Twin (DT) is a revolutionary technology changing how a smart manufacturing industry carries out its day-to-day activities. DT can provide numerous advantages such as real-time synchronised functioning, monitoring and data analysis. However, security and privacy issues in DT have not been thoroughly investigated. This article proposes a user-empowerment-based privacy-preserving authentication protocol for a cloud-based Digital Twin using a Decentralised Identifier (DID) and Verifiable Credential (VC). Here, user empowerment provides full control to users over their identities, and with the help of VC, users can prove their authenticity and preserve their privacy. Although DID has emerged as a promising technology for introducing user empowerment, it suffers from some fundamental problems such as usability and auditability. Here we address all these issues and propose a user-revocation-enabled security solution for the DT. A security analysis of the proposed scheme shows that it is secured against significant security threats. With the help of performance analysis, we prove that the proposed work effectively ensures security and privacy in DT.

Industrial robots and pollution: Evidence from Chinese enterprises

Scientific and technological revolutions have given rise to a new generation of general-purpose intelligent manufacturing technology represented by industrial robots, which have become the emerging growth engine in many countries worldwide, leading to significant improvements in productivity and innovation. However, it remains unclear whether the industrial robot adoption can help address the increasingly severe environmental issues. This study investigates the impact of imported industrial robots on the pollutant emission intensity of Chinese manufacturing enterprises using micro panel data from 1998 to 2013. Our findings suggest that the industrial robot adoption leads to a significant reduction in SO2 emission intensity at the enterprise level. These results remain robust even after conducting various robustness checks, addressing endogeneity concerns and adjusting matching strategies. Furthermore, our investigation reveals three channels through which robot adoption reduces SO2 emission intensity: technological progress spillover, clean energy transition, and improvement in end-of-pipe treatment. By providing micro-level evidence on the environmental impacts of industrial robots, this study contributes to our understanding of the positive environmental externality associated with the diffusion of imported intelligent technology across nations and offers valuable insights for the sustainable development of emerging economies.

Cultural conflict - civilizational transition and civil transformations - factors of influence and crisis of the cultural identity of the Arab Gulf countries (confrontation / assimilation - influence / change)

The research deals with the issue of cultural confrontation experienced by the local culture of the peoples of the Arab Gulf countries in front of the civilizational tide and structural transformations in social life, which coincides with cultural globalization and the revolution of technology and information that transcended borders and barriers. The Gulf Arab states have witnessed major structural transformations in line with the civilizational development in the fields of life brought about by oil wealth. The study sought to identify the most prominent sources of challenge and change, the great variation in the demography of the population, where the population weight coming from abroad with its diverse culture and life practices that lead to a change in public behavior and cultural environment in the new reality, so the study stands on the size of the impact contributed by human migrations coming to the Arab Gulf countries by addressing the following variables: - Demographic difference between citizens and residents. - The density of educational institutions for communities and international schools. - The heavy presence of traditional non-Arabic media institutions and others directed at foreign communities. She presented an analysis of the implications of this, and monitored the manifestations of change, transformation and conflict experienced by local cultures, based on Julian Steward's theoretical model, which focuses on the dynamic interaction between man and the environment, technology, social structure, and organization of work. To understand the reality of the social space of the peoples of the Arab Gulf countries, And the impact of internal interactions and external influences on this space and know the shape of structural transformations in the local culture of these peoples, and determine their characteristics, and read the future of these changes by trying to understand the course of transformation.

Theoretical and experimental research on the mechanical tests of 3D printed samples from various materials

At this moment, a real industrial, scientific and technological revolution is being discussed worldwide, consisting in the development of Additive Manufacturing AM technologies through the use of 3D printing. The FDM (Fused Deposition Modelling) 3D printing technology consists in the deposition of fusible material layer by layer in the XOY plane, the thickness of the 3D printed layer is g = 0.12 ÷ 0.24 mm, the resolution of 3D printing is r = 0.1mm, while the print head advances vertically on the OZ axis. The purpose of the work is to determine the breaking moment through destructive mechanical bending tests of some samples made by 3D printing from the following materials: ABS+, PETG and PLA. 5 samples were made in 3 printing directions: horizontal, vertical and lateral, resulting in 15 samples for each material. The total number of samples used is 45. Knowing these values, depending on the requirements of the specifications, a certain material and a certain printing position can be used.