Technological Revolution Research Articles

Realigning Education for Developments in the Institutions of Higher Learning

This paper sought to highlight and discuss the immediate need to realign education for developments in the Institutions of Higher Learning (IHL). Through research that has been covered worldwide, education is one of the most important pillars of any country’s development. It is therefore imperative that the education sector needs to be realigned in line with the developments taking place with the modernization of general business to industrial and technical development for the better benefits and outcomes. This realignment for development will be underpinned by highlights and a discussion from Education 1.0 to the present Education 5.0 as a standard for developments in the institutions of higher learning. Education 5.0 is highly rated in terms of its association with the current business needs and integration with the industrial and technological developments. Institutions of higher learning ought to adopt the use of modern industrial and technological revolution like artificial intelligence, robotics and data analytics as they provide an immersive and interactive learning environment that focuses on student development in society and nation at large. The representative sample consisted of ten (10) participants who were selected from two higher learning institutions in Eswatini. Data generation 2 tools such as in-depth face to face interviews and document analysis were used in this study. A qualitative approach anchored on a philosophy of phenomenology and an interpretivism paradigm was employed to guide the research methodology. Thematic Analysis was used to analyse data. One of the key findings of the study was the failure to know how realigning education for developments in the institutions of higher learning would contribute to the economic development, human capital and social development of Eswatini. Another key finding from the study was that education and businesses are interlinked with each other whereby technology enhanced and improved the quality ...

INNOVATING IN URBAN DISTRIBUTION OF GOODS, SMALL CHANGES, BIG RESULTS FOR THE CITY

The conceptual article invites us to reflect on how innovation doesn’t always require huge investments or technological revolutions. Sometimes the most transformative changes come from simple ideas. It is in simplicity that we often find the greatest potential for change. Implementations such as optimizing routes, reorganizing delivery schedules or using electric bicycles. They show that accessible solutions can transform urban logistics. These small but modest steps, bring great benefits and contribute to sustainability. Likewise, the ability to reimagine our processes, reusing the strategic value of the resources we already have, is to see the familiar with new eyes, reusing the known to create something extraordinary. True innovation cannot flourish in isolation. This is where public-private collaboration becomes important. While companies can lead these efforts, support from the public sector is the direct way to create new opportunities. When we join forces, we generate an ecosystem of change that allows us to integrate these small advances. We believe that innovation is not just for the few, we all have the power to generate great results from small changes.

The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities

Improving energy utilization efficiency is a crucial means to achieve energy conservation, emission reduction, and green development. At present, to establish a high-quality development framework and satisfy the growing need for a better life among all its people, China must steadfastly pursue the path of green development. Although China’s substantial economic scale and achievements in ecological civilization construction provide favorable conditions for green transformation, there remains a significant gap compared to developed countries in the application of green and clean technologies. Confronted with technological bottlenecks, leveraging emerging technologies such as industrial robots from the new round of scientific and technological revolutions to improve the green total factor energy efficiency (GTFEE) is of critical importance to China’s green development. This study explores the potential impact of industrial robots on enhancing China’s GTFEE. It begins by reviewing the current research landscape in this field, highlighting its shortcomings, and theorizing potential impact pathways of industrial robots. Subsequently, the paper analyzes data from 2010 to 2019 on the usage of industrial robots and GTFEE across 276 cities at the prefectural level or above in China. Through empirical regression models that incorporate control variables and interaction terms, the study investigates the specific impacts of industrial robots on energy efficiency and their mechanisms of action. The results indicate that industrial robots significantly enhance the GTFEE of Chinese cities, especially in the Northeastern region. Industrial robots notably improve the GTFEE in resource-based cities, old industrial bases, and low-carbon pilot cities. Additionally, robots indirectly boost GTFEE by increasing labor productivity. Enhanced levels of green innovation and environmental regulations also positively moderate the effectiveness of industrial robots in improving energy efficiency. The findings of this research can assist local government agencies in coordinating and implementing policies that are conducive to green development, making better use of industrial robots to serve the people, and are of significant importance for promoting the transformation of China’s economy and society towards high-quality development.

Feasibility Assessment of Rapid Response EEG in the Identification of Nonconvulsive Seizures During Military Medical Air Transport.

Traumatic brain injury often requires neurologic care and specialized equipment, not often found downrange. Nonconvulsive seizures (NCSs) and nonconvulsive status epilepticus (NCSE) occur in up to 30% of patients with moderate or severe traumatic brain injury and is associated with a 39% morbidity and an 18% mortality. It remains difficult to identify at bedside because of the heterogeneous clinical manifestations. The primary diagnostic tool is an electroencephalogram (EEG) which is large, requires an external power source, and requires a specialized technician and neurologist to collect and interpret the data. Rapid response EEG (rr-EEG) is an FDA-approved device that is pocket sized and battery powered and uses a disposable 10-electrode headset. Prior studies have demonstrated the noninferiority of rr-EEG in the identification of NCSE and NCS as compared to conventional EEG in hospitals. An unanswered question is whether rr-EEG could be used in the identification of NCSE and NCS by medics. In conjunction with the Critical Care Air Transport (CCAT) team, a simulation was created and implemented on a CCAT training mission. The simulation team included a neurology resident, who oversaw the simulation, a pulmonary critical care fellow, an intensive care unit nurse, and a respiratory therapy. A survey was provided before and after the simulation. The team was expected to review the rr-EEG to make clinical decisions during ground transport, takeoff, and landing. The neurology resident monitored and recorded the team's ability to distinguish between NCS and a normal EEG. In between, the neurology resident monitored the quality of the EEG for potential interference and loss of quality. The CCAT team was able to efficiently set up the rr-EEG on a patient manikin, correctly identify visual EEG wave forms of a patient in NCS, and utilize the proprietary audio program of a simulated patient in NCS. The team reported that the device was easily set up in the environment, and the data were interpretable despite vibration, aircraft auditory and electrical noise, and the ergonomics of the aircraft medical section. This pilot study has validated a potentially revolutionary technology in medical transport. The rr-EEG technology is measurably user-friendly and will improve patient outcomes. This device and simulation can reduce time to an EEG by hours to days allowing for immediate treatment and intervention, which can significantly reduce morbidity and mortality.

Beyond linear narratives: Complex copper ore exploitation strategies in Early Bronze Age China revealed by geochemical characterization of smelting remains

Despite decades of efforts to reconstruct the bronze production and metal distribution systems of the Shang period in Bronze Age China, there remains limited understanding of the ore choices and smelting practices of the Shang people. This study addresses this research gap by conducting a detailed investigation of Shang period copper ores and smelting remains uncovered at the Tongling site in the Middle Yangtze River valley. The results of lead isotope, copper isotope, trace element, and rare earth element (REE) pattern help to classify the slags from this site into two groups, associated with smelting sulphidic (Group A) and oxidic (Group B) copper ores, respectively. This finding not only serves as the first physical evidence of the use of sulphidic copper ores in Early Bronze Age China but also provides pivotal details of the copper resource exploitation strategies of the Shang people. It challenges the traditional narrative that the Shang people moved to this area solely for the high-grade supergene deposits. The parallel use of both supergene and hypogene ores at the same site complicates the notion of a linear, technological evolution from simpler to more advanced copper sources. Despite the presence of hypogene ores, the study reveals that the Shang people maintained labour-intensive smelting practices, including crushing slag to recover trapped metallic prills, to meet the demands of large-scale bronze casting. This nuanced approach to copper resource exploitation reflects a complex, context-dependent strategy rather than a technological revolution. By highlighting these intricate metallurgical choices, this research contributes to a broader rethinking of early technological development, underscoring the diversity and adaptability of ancient craft industries and their role in shaping Shang society.

Ultra-high brightness Micro-LEDs with wafer-scale uniform GaN-on-silicon epilayers

Owing to high pixel density and brightness, gallium nitride (GaN) based micro-light-emitting diodes (Micro-LEDs) are considered revolutionary display technology and have important application prospects in the fields of micro-display and virtual display. However, Micro-LEDs with pixel sizes smaller than 10 μm still encounter technical challenges such as sidewall damage and limited light extraction efficiency, resulting in reduced luminous efficiency and severe brightness non-uniformity. Here, we reported high-brightness green Micro-displays with a 5 μm pixel utilizing high-quality GaN-on-Si epilayers. Four-inch wafer-scale uniform green GaN epilayer is first grown on silicon substrate, which possesses a low dislocation density of 5.25 × 108 cm−2, small wafer bowing of 16.7 μm, and high wavelength uniformity (standard deviation STDEV < 1 nm), scalable to 6-inch sizes. Based on the high-quality GaN epilayers, green Micro-LEDs with 5 μm pixel sizes are designed with vertical non-alignment bonding technology. An atomic sidewall passivation method combined with wet treatment successfully addressed the Micro-LED sidewall damages and steadily produced nano-scale surface textures on the pixel top, which unlocked the internal quantum efficiency of the high-quality green GaN-on-Si epi-wafer. Ultra-high brightness exceeding 107 cd/m2 (nits) is thus achieved in the green Micro-LEDs, marking the highest reported results. Furthermore, integration of Micro-LEDs with Si-based CMOS circuits enables the realization of green Micro-LED displays with resolution up to 1080 × 780, realizing high-definition playback of movies and images. This work lays the foundation for the mass production of high-brightness Micro-LED displays on large-size GaN-on-Si epi-wafers.

DESEMPENHO E PRODUTIVIDADE DOS COLABORADORES EM HOME OFFICE

The Coronavirus pandemic has driven a technological revolution that has radically transformed work activities, solidifying telecommuting as a predominant and challenging practice. In this context, the restructuring of monitoring, performance evaluation, and motivation practices has emerged in response to the need for social distancing. The objective is to understand the interconnection between digital work and physical needs, and their influence on performance monitoring and worker motivation, as well as to identify strategies and tools adopted during this period to analyze their effectiveness. This is a qualitative, exploratory research using bibliographic and documentary methods, gathering data from scientific articles and relevant websites, as well as from databases like Google Scholar, Scielo, and Virtual Libraries such as Google Books. The results indicate that adapting to remote work requires a multifaceted approach, where effective communication, valuing employees, and balancing control and trust are essential for the success of remote work and the sustainability of organizational performance.

Smart City Construction, Artificial Intelligence Development, and the Quality of Export Products: A Study Based on Micro-Level Data of Chinese Enterprises

Quality improvement is essential for a nation’s economy to transition from large to strong. In the 21st century, a new wave of quality development has emerged globally, and upgrading the quality of enterprise export products is a key measure for driving exports and supporting high-quality economic development. The development of artificial intelligence, as the new core engine driving technological revolution and industrial transformation, will profoundly alter various aspects of economic activities, including production, distribution, exchange, and consumption. Exploring and cultivating new artificial intelligence-driven momentum to enhance the quality of enterprise export products is inevitably a major theoretical and practical issue of common interest to governments, enterprises, and academia. This paper uses China, a major developing and export-oriented economy, as a case study to explore the policy measures for stimulating new momentum in artificial intelligence development and their effects and transmission mechanisms on improving the quality of enterprise export products. Specifically, it constructs a theoretical model to examine the relationship between smart city construction, artificial intelligence development, and the quality of enterprise export products. By considering the smart city construction projects launched by the Chinese government as a quasi-natural experiment to facilitate artificial intelligence development, the study employs matched city-enterprise data from 2007 to 2015 and utilizes a difference-in-differences (DID) methodology to empirically test the impact of smart city construction on enhancing the quality of enterprise export products. According to the study, the policy-driven nature of smart city construction significantly enhances the quality of enterprise export products. This beneficial impact is particularly evident in the eastern regions, as well as in labor-intensive and capital-intensive industries, and among foreign-invested and private enterprises. Mechanism tests and additional analyses indicate that artificial intelligence development is significantly more advanced in smart cities than in non-smart cities, with the gap between them steadily widening. The construction of smart cities significantly advances artificial intelligence development, which subsequently enhances the quality of enterprise export products. Furthermore, smart cities can substantially contribute to this improvement by facilitating a more efficient, market-oriented allocation of resources.

Transformation of Methods of Art Objects Using in Interior Design

The aim of the article is to identify and systematise the methods of using art objects in interior design, to analyse their transformation (from traditional to modern methods) with a focus on various aspects of the relationship between the spatial environment and fine art objects. Results. The research has shown that the transformation of the methods of using art objects (from traditional to modern innovative ones) provides endless opportunities for new methods and technologies of interior design with the use of art objects, which creates a harmonious object-spatial environment taking into account modern design trends. The analysis of art objects and the object-spatial environment revealed their interconnection in the following aspects: functional purpose, location conditions, types of fine art, spatial perception, reflection of the interior theme, integration with technology, and compliance with the principles and goals of sustainable development. The scientific novelty lies in the study, systematisation and analysis of the transformation of methods (from traditional to modern) of using art objects in interior design. Conclusions. The use of art objects in the interior is a complex multifunctional process that reflects a modern approach to the use of art works in the object-spatial environment to achieve a high artistic level in interior design. It has been found that art objects in the interior perform various functions, have certain visual forms of embodiment and create a harmonious aesthetic and meaningful space for living and working. In view of the development of the scientific and technological revolution, we see the prospects for further research in the analysis, systematisation and identification of modern methods transformation, including the identification of new aspects of the relationship between art objects and the subject-spatial environment based on the transformation of methods of using art works.

Technological Revolutions and the Co-Evolution of Green and Digital Transformation Processes: Tapping the Potential of Diversified Energy Networks

Technological Revolutions and the Co-Evolution of Green and Digital Transformation Processes: Tapping the Potential of Diversified Energy Networks

Evolusi Kepemimpinan Digital: Transformasi Modal Manusia dalam Era Artificial Intelligence

The technological revolution accelerated by Artificial Intelligence (AI) has fundamentally changed the paradigm of leadership and human resource management. Digital leadership is now an essential competency for organizations that want to survive and thrive in the face of the challenges of the technological disruption era. This research aims to understand the role of digital leadership in the human capital transformation process, especially in the context of AI adoption by modern organizations.The post-qualitative approach allows research to capture the evolving and diverse dynamics in a digitized organizational environment. It is more open to different forms of data, both structured and unstructured, and recognizes the complexity and ambiguity in digital leadership practices. This research utilizes open-ended interviews and participatory observation, facilitated by interpretive narrative to understand the process of human capital transformation. The main results of the study show that digital leadership plays a key role in facilitating human capital transformation, with an emphasis on adaptive skills development, data-driven decision-making and closer collaboration between people and technology. This transformation is not only technical in nature but also involves changes in organizational culture and structure. This research makes an important contribution by offering a new perspective in leadership studies through a post-qualitative approach.

Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education.

Generative artificial intelligence and large language models are the continuation of a technological revolution in information processing that began with the invention of the transistor in 1947. These technologies, driven by transformer architectures for artificial neural networks, are poised to broadly influence society. It is already apparent that these technologies will be adapted to drive innovation in education. Medical education is a high-risk activity: Information that is incorrectly taught to a student may go unrecognized for years until a relevant clinical situation appears in which that error can lead to patient harm. In this article, I discuss the principal limitations to the use of generative artificial intelligence in medical education-hallucination, bias, cost, and security-and suggest some approaches to confronting these problems. Additionally, I identify the potential applications of generative artificial intelligence to medical education, including personalized instruction, simulation, feedback, evaluation, augmentation of qualitative research, and performance of critical assessment of the existing scientific literature.

Export Spells and the Position of Global Value Chain: Evidence from China’s Industrial Firms

The international division of labor has entered the era of the global value chain (GVC) due to the continuous influence of the scientific and technological revolution. At the same time, sustainable development has taken center stage in the evolution of international trade, and the export spell is an important indicator to measure the sustainable development of export trade. Based on the China customs data, the Chinese industrial enterprises database and the Chinese input-output table from 2000 to 2012, this paper uses the survival analysis method to estimate the enterprises’ export spells and calculate their positions in the GVC through upstreamness. It then investigates the impact of export spells on the position changes of the GVC enterprises. According to the paper, export enterprises near the bottom of the GVC are more vulnerable to extinction. And the duration of enterprises’ export spells has a U-shaped relationship with their positions in the GVC, which means that enterprises will continue to move downstream of the GVC as duration increases, but positions will shift upstream if duration reaches the inflection point. The mechanism test shows that the quality of export products is an important channel through which the duration of enterprises’ export spells influences their GVC positions.

An Interactive, Case-Based Workshop on the Patient Experience for Internal Medicine Residents.

The technological revolution has narrowed the information gap between physician and patient. This has led to an evolution in medicine from paternalistic to patient-centric, with health care systems now prioritizing patient experience to achieve higher satisfaction scores. Therefore, it is imperative to start early in educating trainees on how to best address the holistic needs of the patient while also delivering high-quality care. We implemented a 1-hour workshop that was repeated weekly over 8 weeks to capture all internal medicine residents in our program. During the workshop, we reviewed the historical evolution of patient care from paternalistic to patient-centered, presented the Hospital Consumer Assessment of Healthcare Providers and Systems survey questions, and discussed evidence-based strategies for physicians to improve their patients' experience utilizing four case-based scenarios. Over the 8-week period, a total of 195 residents participated in the workshop. One hundred thirty-nine residents (71%) completed the pre- and postsession survey. Results demonstrated significant knowledge improvement (p < .001) in all of the topics discussed. Additionally, the majority of residents felt the workshop would be useful in their clinical practice and found the clinical scenarios useful. Given the evolution towards patient-centered care, it is important to take a proactive approach in providing residents with the tools to best address their patients' needs. Early understanding of patient satisfaction surveys and the impacts they have on hospital metrics can help trainees in their careers as practicing physicians.

Exploring the Artificial Intelligence and Its Impact in Pharmaceutical Sciences: Insights Toward the Horizons Where Technology Meets Tradition.

The technological revolutions in computers and the advancement of high-throughput screening technologies have driven the application of artificial intelligence (AI) for faster discovery of drug molecules with more efficiency, and cost-friendly finding of hit or lead molecules. The ability of software and network frameworks to interpret molecular structures' representations and establish relationships/correlations has enabled various research teams to develop numerous AI platforms for identifying new lead molecules or discovering new targets for already established drug molecules. The prediction of biological activity, ADME properties, and toxicity parameters in early stages have reduced the chances of failure and associated costs in later clinical stages, which was observed at a high rate in the tedious, expensive, and laborious drug discovery process. This review focuses on the different AI and machine learning (ML) techniques with their applications mainly focused on the pharmaceutical industry. The applications of AI frameworks in the identification of molecular target, hit identification/hit-to-lead optimization, analyzing drug-receptor interactions, drug repurposing, polypharmacology, synthetic accessibility, clinical trial design, and pharmaceutical developments are discussed in detail. We have also compiled the details of various startups in AI in this field. This review will provide a comprehensive analysis and outline various state-of-the-art AI/ML techniques to the readers with their framework applications. This review also highlights the challenges in this field, which need to be addressed for further success in pharmaceutical applications.

Influence of Printing Parameters to optimize mechanical properties in additive manufacturing – A Review

Abstract Additive manufacturing (3D printing) is a revolutionary technology with widespread applications among various industries. It is a cost effective and fast prototyping technology of 20th century, the parts produced by 3D printing are not only used for pre-production samples but also for replacement of functional parts in various applications. Various methods of 3D printing technologies viz., Fused Deposition, Resin printing etc., are available, however Fused Deposition Modelling (FDM) technique is very popular since it is promising and cost effective. There are two major aspects needs to be considered in preparing a sample from 3D printing, i.e., selection of material and printing parameter. With the advancement of material technology from time to time, the efficient and quality products that are produced with this technology. The present study explores the impact of various parameters that affect mechanical properties of 3D printed Polylactic Acid (PLA) in horizontal orientation.

Performance evaluation framework of MQTT client libraries for IoT applications in manufacturing

The Internet of Things (IoT) is a revolutionary technology in the field of manufacturing that enables real-time data communication and control of various industrial sensors and devices. MQTT (Message Queuing Telemetry Transport) is one of the most popular communication protocols for IoT applications which offers lightweight, efficient, and reliable communication. There are several MQTT client libraries available for implementing MQTT communication for IoT applications. The selection of an appropriate client library can significantly impact the performance of an IoT application. This paper presents a performance evaluation framework for MQTT client libraries for IoT applications in the manufacturing industry. This paper aims to create a standardized virtual testing environment to compare the performance of different MQTT client libraries using various test conditions. It offers a structured and standardized methodology for evaluating performance aspects such as latency, scalability, and resource utilization. By systematically evaluating the performance of MQTT client libraries against these metrics, users can make informed decisions while selecting the most appropriate library for their IoT applications. The framework takes into consideration the unique requirements and constraints of manufacturing applications, such as the need for low-latency communication, secure data exchange, and compatibility with resource-constrained devices. Ultimately, this research contributes to the optimization of IoT applications in the manufacturing industry, facilitating the implementation of efficient, reliable, and scalable data communication.

A journey through quantum technology

Abstract Technology aims to utilise physics to invent things that improve our lives. Our current information technology era is the result of quantum mechanics and the concept of wave-particle duality. Many revolutionary technologies, such as the laser, MRI and integrated circuits were developed from this first quantum revolution. This paper provides a brief summary of these key quantum technologies and investigates some of the ongoing research that may spark a second quantum revolution.

Seeing the light: key inventions that illuminate our world

Abstract In the vast expanse of the electromagnetic spectrum the role of light has been paramount in shaping human civilisation as its applications extend beyond mere illumination. This paper delves into the profound influence of light-based technologies on society, culture and various scientific fields by exploring the understanding of the electromagnetic spectrum and highlighting seminal inventions developed from our understanding of it. Historically the visible spectrum served as humanity’s primary interface with light, giving rise to basic tools like the magnifying glass and the prism. However, the 19th and 20th centuries heralded groundbreaking revelations about the broader spectrum—discovering rays invisible to the naked eye from gamma rays to radio waves. This understanding stimulated technological revolutions, profoundly altering our daily lives and global infrastructures. Prominent inventions such as the radio, televison, X-ray machines, optical fibres and lasers, each harnessing distinct parts of the spectrum, have propelled advancements in communication, medicine, materials and information technology. Additionally light technologies have been pivotal in critical breakthroughs in quantum mechanics, relativity and astrophysics, deepening our understanding of the Universe. Light-based technologies rooted in our evolving comprehension of the electromagnetic spectrum have indelibly impacted our world. From fundamentally altering industries to reshaping daily rituals the influence of light is a testament to humanity’s enduring quest for progress and understanding.

Flexible electronic-photonic 3D integration from ultrathin polymer chiplets

Integrating flexible electronics and photonics can create revolutionary technologies, but combining these components on a single polymer device has been difficult, particularly for high-volume manufacturing. Here, we present a robust chiplet-level heterogeneous integration of polymer-based circuits (CHIP), where ultrathin polymer electronic and optoelectronic chiplets are vertically bonded at room temperature and shaped into application-specific forms with monolithic Input/Output (I/O). This process was used to develop a flexible 3D integrated optrode with high-density microelectrodes for electrical recording, micro light-emitting diodes (μLEDs) for optogenetic stimulation, temperature sensors for bio-safe operations, and shielding designs to prevent optoelectronic artifacts. CHIP enables simple, high-yield, and scalable 3D integration, double-sided area utilization, and miniaturization of connection I/O. Systematic characterization demonstrated the scheme’s success and also identified frequency-dependent origins of optoelectronic artifacts. We envision CHIP being applied to numerous polymer-based devices for a wide range of applications.