Development Of Technology Research Articles

A SYSTEM OF INDICATORS FOR SELECTING INNOVATION TRIGGERS TO DRIVE SUSTAINABLE DEVELOPMENT

The foundation of sustainable development lies in innovation, technology, and entrepreneurship, which have significant positive impacts on socio-economic aspects of life. This study examines the indicators necessary for selecting innovation triggers that can lead country’s sustainable development. Innovation trigger system is mechanism that initiates and drives the development of new technologies and processes, essential for sustainable development by facilitating the transition to more sustainable practices. However, not all innovation triggers succeed or offer long-term benefits for sustainable development. This study aims to identify the indicators necessary to select effective innovation trigger for sustainable country development. It has been described hype cycle phases of main technologies in the 21-st century, and defines that there is no one duration of hype cycle phases for AI, IoT, AR and VR, blockchain technologies. It has been proposed the innovation trigger system indicators to select beneficial innovation trigger that divided into two groups, set of lagging indicators and set of leading indicators. Lagging indicators assess the effectiveness of past strategies and investments, while leading indicators provide insights into future performance and potential outcomes. By utilizing both types of indicators, a more balanced and comprehensive analysis can be achieved when selecting the most beneficial innovation trigger for a country’s development. The final choice of innovation trigger in each country will ultimately depend on its prioritized development goals. Additionally, it has been applied and modified the Bass Model to forecast the diffusion of AI among industrial enterprises in Ukraine. The basic Bass model has been extended to include a developer influence coefficient, which accounts for the role of AI developers in technology diffusion. Understanding the processes of diffusion and the effectiveness of innovation triggers, as well as the phases of the hype cycle, provides guidance for policymakers, business structures, and enterprises in technology implementation and the use of innovation for development, which determines the sustainability of national economic progress.

Epithermal neutron activation dosimetry–(n, γ) reactions under boron-based filters

Neutron activation dosimetry is the primary method for the determination of the neutron flux or fluence, and in general, it is sensitive to the thermal and resonance energy ranges (radiative capture reactions–(n,γ)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(n,\\gamma )$$\\end{document} reactions) and the fast energy range (threshold reactions). However, there are very few nuclear reactions which are sensitive specifically to neutrons in the intermediate–epithermal–energy region. This energy region, along with the fast energy range, will become particularly important in the development and deployment of new reactor technologies (Generation IV reactors and Small Modular Reactors–SMRs), which are currently being championed as technologies enabling a meaningful contribution to decarbonization and the fight against climate change, as well as nuclear fusion. The epithermal neutron energy range is also of particular importance for Boron Neutron Capture Therapy (BNCT), a neutron-based cancer therapy, particularly effective for the treatment of head and neck cancer, malignant meningioma, melanoma and hepatocellular carcinoma. This work investigates and demonstrates the applicability of a particular set of (n,γ)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(n,\\gamma )$$\\end{document} reactions in conjunction with boron-based neutron filters to achieve sensitivity in the epithermal energy region, and discusses avenues for future research in this context.

Design and research of intelligent watt hour meter fault early warning system based on data mining technology

With the rapid development of information technology and the continuous improvement of communication technology, electric energy meters are innovating and developing towards networking, informatization and intelligence. This research constructs a model design of electric energy failure early warning system based on big data mining technology under the background of big data. It analyzes and studies the intelligent electric energy meter failure early warning system. Through the analysis and comparison of the factors affected, comprehensive performance and application prospects of the intelligent electric energy meter failure early warning system under different data mining technologies, the research results show that the application of big data mining technology makes the heavy work of data collection and data analysis integrate big data mining technology, it can be popularized more widely and applied to more scenarios, thus reducing the manual workload, it makes the work efficiency more significantly improved, and can promote the reform of China’s smart grid more quickly.

Low-connectivity Educational Technology: A Case Study of Supporting Learning during Covid-19 via SMS with ‘Keep Kenya Learning’

The use of Short Messaging Service (SMS) for education has grown in recent years, drawing particular attention to supporting school-level learners, due to the Covid-19 pandemic. This renewed interest has prompted questions about how this form of educational technology could be used in the longer term. However, despite being used in many Covid-19 responses, there are few documented examples of innovative applications in this field during the pandemic, which represents a gap in the literature. As a medium for education, SMS offers potential benefits such as being cost-effective and having positive impacts on learning. In this paper, we present a case study of an educational programme rapidly implemented during the pandemic as part of the ‘Keep Kenya Learning’ program, to support learners remotely in terms of literacy, numeracy, and social and emotional learning topics. Through the case study, we describe the innovative process used to rapidly develop content for SMS, and draw upon usage statistics, quiz scores and user feedback to gain insights into its implementation with learners and caregivers in Kenya. The case study demonstrated that educational television content can be effectively adapted to mobile delivery. Furthermore, we present practical reflections on the development and implementation of SMS educational technology which will help inform future initiatives. These include considering timing in relation to school terms when planning a supporting intervention, and designing content in a modular way to allow flexibility for learners in navigating through courses.

The Impact of Pore Geometry on Frictional Properties of hBN and MoS2 Nanomaterials.

Two-dimensional (2D) nanomaterials hold significant promise for reducing energy consumption in water desalination. This study investigates the influence of pore size and shape on the slip behavior of saline water at the interface of two promising 2D nanomaterials: hexagonal boron nitride (hBN) and molybdenum disulfide (MoS2). Slip length, a key parameter governing fluid flow at the nanoscale, is highly dependent on interfacial properties. Here, we explore how the pore characteristics in these 2D nanomaterials can impact slip length, aiming to gain a fundamental understanding of the role of pore size and shape in optimizing desalination efficiency. We performed quantum mechanical calculations to compute the partial atomic charges on atoms in hBN and MoS2 containing pores. Our DFT calculations reveal a spatially varying charge distribution on these 2D nanomaterials with pores, which we then incorporate into molecular dynamic simulations to elucidate their influence on the 2D nanomaterial-water interface. Our results reveal a significant impact of pore size on friction for nanomaterials containing hexagonal pores, while pore size had no effect on nanomaterials containing triangular pores. Moreover, friction increases with pores in both materials. This research contributes to the development of efficient and energy-saving desalination technologies through the manipulation of interfacial properties in 2D nanomaterials.

The structuring of a (semi) agile-based organization: product orientation in a state agency

Purpose The purpose of the paper is to analyze how a change towards product orientation based on an agile approach challenges, contrasts and/or coexists with other principles of organization and grouping, such as development projects, the existing hierarchical line structure and process management. Design/methodology/approach This is a case study of one organization, based on an explorative appoach. Findings Taking the competing dimension of coordination and principles of grouping as the starting point, this study identify, describe and analyze the tensions that result from the introduction of product organization. The product initiative has met many obstacles and tensions along four dimensions: Process, line, information technology units and development projects. For each of these dimensions a number of challenges have been identified, that contribute to increased complexity in the organization. Research limitations/implications A limitation of the study is that the findings cannot be generalized to other organizations. Practical implications A practical implication of the study is that product organization triggers tensions with other principles of organizations and grouping. Originality/value This study mainly contributes to the knowledge of agile management and agile organization, identifying and theorizing challenges that have been neglected and/or poorly understood both in the popular literature and in organizational research. This is particularly the case in the public sector. This study is also relevant to the domain of multidimensional structures, adding an understanding of the novel opportunities and challenges of product- and agile-based grouping of activities in an organization.

Research on digital transformation of banking industry must be associated with digital economy, digital society, green economy in Vietnam

The development of banking is an important factor in the economic development of the country and there have been many changes in the banking industry. These changes can be attributed to the development of technology: the popularity of mobile phones, the ability to access the Internet anytime, anywhere, the rapidly developing digital banking system... In the past few years, the finance - banking industry has been going through an important digital transformation period. However, in the strong development trend of technology, the banking system also faces many challenges, requiring a stronger transformation to be able to grasp digital technology trends, thereby applying and improving the quality of its products and services, making financial services more available, competitive and cost-effective. The purpose of this article is to provide an overview of technology trends in banking, challenges and make some recommendations. Keywords: Digital Transformation, Banking Industry, Digital Economy.

The Influence of Cultural Heritage Digitalization on the Public Aesthetics – A Case Study of the Dunhuang Mogao Grottoes

The applications of digital technology in cultural heritage have subtly and profoundly influenced the breadth and depth of public aesthetics. The objective of the study is to explore how diverse digital technologies impact public aesthetics, taking the digital dissemination and applications of Dunhuang's Mogao Grottoes as an example. Also, it anticipates the potential influence on public aesthetics of the ongoing evolution of technology inc. AIGC and its integration with cultural heritage. The results of the study revealed that digitalization applied in cultural heritage enhances the public aesthetics, while under the rapid development of technology, there are potential concerns of the aesthetic homogeneity, preconceived notions, and the over-emphasis on entertainment value. Future generations might reduce appreciation for authentic, in-person experiences and lead to fixed stereotypes of cultural heritage. Therefore, the thoughtful and balanced integration could better foster the public aesthetics.

What Is Needed to Determine and Potentially Improve the Clinical Effectiveness and Cost-Effectiveness of Robot-Assisted Reconstructive Urinary Tract and Pelvic Floor Surgery?-ICI-RS 2024.

Robot-assisted (RA) surgery has many advantages for urinary tract and pelvic floor reconstruction (UTPFR) but its application is only slowly increasing. Studies are limited in number, patients and follow-up duration. The low-volume high-complexity nature of UTPFR warrants specific research to evaluate the potential role of the RA approach. During its 2024 meeting in Bristol, the International Consultation on Incontinence-Research Society (ICI-RS) reviewed the current literature on RA UTPFR. Priority research questions and strategies were explored in a proposal. Four different topics were discussed. (1) Large multicentre prospective studies on RA UTPFR are needed to evaluate clinical effectiveness and safety. The RA approach needs to be prioritized in specific procedures and patients, to first improve patient care where gains are highest. (2) Models for cost-utility analysis for RA UTPFR are needed to (re)direct limited resources as efficiently as possible in a quickly changing technological field. (3) A modular curriculum for training UTPFR surgeons to become RA certified needs to be developed, to allow valid interpretation and comparison of outcomes. (4) Technological improvements to address tissue handling, accessibility, efficiency and sustainability are needed. Digitalization can be a gamechanger for RA UTPFR through telesurgery (training and expertize coverage), augmented reality and artificial intelligence providing intra-operative assistance, assessment and feedback. The proposal discussed the need for studies on clinical and cost effectiveness, safety, and training curriculum development for RA UTPFR. Recent technological developments hold great promise for RA UTPFR. High-priority research questions were identified.

Application and Development of Behavioural Economics in Consumer Decision Making

Behavioural economics, as an interdisciplinary field integrating psychology and economics, offers new perspectives for understanding consumer decision-making. This paper provides an overview of the core theories of behavioural economics, its applications in consumer decision making, and its developments and challenges in market practice and policy making. First, behavioural economics challenges traditional economic assumptions about rational decision-making by revealing core concepts such as limited rationality, prospect theory and behavioural biases, providing a deeper understanding of consumer behaviour. Second, the paper explores the effectiveness of behavioural economics in practical applications, such as improving firms' market performance and policy implementation by optimising marketing strategies, utilising personalised recommendations and developing behavioural intervention policies. However, behavioural economics still faces challenges in terms of theoretical universality, cross-cultural applicability and dynamic adaptation. Future research directions include theoretical integration, cross-cultural validation, adaptation to technological developments, optimisation of policy practices and intersection studies with psychology. The review in this paper aims to provide reference for academic research and practical application, to promote the further development of behavioural economics, and to provide theoretical support for policy making and market strategies.

Twelve tips for integrating Virtual Reality Simulation into Health Professions Curricula

Virtual reality simulation (VRS) has the potential to disrupt and transform current understandings and practices in simulation-based education in health professions curricula. Recent technological developments, including AI applications, give the learner high levels of immersion into a virtual environment that even more closely mimic the real world than heretofore. At the same time, there are significant obstacles facing educators who strive to integrate VRS into their simulation curricula. We have written a VRS handbook for nurse educators, developed VR scenarios and delivered VRS workshops to undergraduate nursing students. Our twelve tips are aimed at undergraduate curriculum developers and simulation leaders, guiding them on how to support educators in integrating VRS into their curricula. The tips describe key considerations to be addressed in the development and integration of VRS into curricula. The tips are timely, as health professions education is on the cusp of entering technology-enhanced simulation, of which VRS will be a key player.

Main path analysis: a methodological framework for knowledge diffusion trajectories in scientometrics studies

Purpose The purpose of this study is to propose an analytical framework for generating main path analysis (MPA) and demonstrate the process involved in identifying, analyzing the MPA on a citation network and empirically testing in the research field chromosome anomalies (CA). Design/methodology/approach The proposed methodological structure involves five phases of the process. Search path method is used to measure the weights of each citation link from a source vertex to a sink vertex. The key route local main path and global main path are generated to identify the knowledge diffusion trajectories and validated by cross-referencing with existing literature, co-citation analysis and centrality measures of social network analysis. Findings The empirical validation of this framework within CA research demonstrates its potential for tracing knowledge diffusion and technological development trajectories over three decades. This approach elucidates two major intellectual knowledge flows. The first key-route main path identified the primary diagnostic protocols. The second key-route main path revealed that cancer or carcinogenesis is identified as one of the mainstream of CA. Research limitations/implications The limitations of the data and coverage period restrict the scope of this study. MPA was applied exclusively to the most influential sub network and disregarded other sub networks. MPA identified the seminal papers that provided a historical development in diagnostic protocol and their interconnectedness of disorders and diseases. This helps the researchers to develop targeted therapies and interventions, especially in cancer treatment. Social implications Exploiting MPA on CA research provides valuable insights to stakeholders in developing evidence-based public health policies. This is crucial for preventing the birth of children with birth defects or genetic diseases, promoting public health and reducing the socioeconomic burden on a country through enhanced surveillance and prevention efforts. Originality/value The study suggests that in addition to traditional scientometrics measures, MPA can be used to trace the evolution of knowledge and technological advancements. It also highlights the role of social network analysis measures in extracting main paths.

Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs

AbstractOpen banking is a customer consent-driven data-sharing framework to maintain interoperability among financial and non-financial institutions through secure application programming interfaces. Traditional retail banks are losing their competitive edge against digital banks, FinTech, and BigTech firms due to a higher outflow of customer account data than inflow. These firms capitalize on open banking data to launch innovative products and introduce “ready-to-deploy” Banking-as-a-Service platforms for end-to-end banking operations without the need to build full-scale infrastructures. Therefore, banks must reshape data-driven strategies to stay competitive. This research proposes a decision-support tool to select optimal digital strategies using the Strategic Value Index (SVI), a metric derived from analyzing multiple strategic objectives of bank stakeholders. The SVI minimizes implementation time and costs while maximizing operational action importance to a balanced digital strategy that combines both in-house and outsourced technological developments. The importance of operational action is quantified using evidential reasoning with fuzzy logic to address the challenge of aggregating incomplete and ambiguous banking data and assessments from multiple stakeholders. The theoretical approach is validated through a real application in a Latin American bank, and its findings are globally transferable. Cost and time data were sourced from public repositories, as made available accessible through government-mandated disclosures. The sensitivity analysis revealed that hybrid in-house and outsourced development is more flexible in meeting tight timelines and budget constraints. The combined approach is more cost-effective, time-efficient, and aligned with the internal needs of banks compared to either entirely in-house or fully outsourced models.

Determinants of adoption of automation and robotics technology in the agriculture sector–A mixed methods, narrative, interpretive knowledge synthesis

Automation and robotics technologies in agriculture promise to increase productivity with a smaller environmental footprint. However, adoption of agri-innovations is rarely a simple decision. The decision to adopt is determined by numerous factors. Employing a mixed methods narrative, interpretive knowledge synthesis, we review 72 unique studies between 2017–2021, and conduct a thematic analysis. Noting the innate complexity of agriculture, we identify 13 determinants of adoption of automation and robotic technologies in agriculture: data; farm characteristics and surrounding physical environment; farmer characteristics; policy and regulation; labour’s absorptive capacity; social elements; interoperability; standards; access to information; operational benefits; public infrastructure; technological characteristics; and uncertainty and risk. We conclude with seven observations. First, while automation and robotics are promising agri-innovations, they will not be appropriate or beneficial for all farms. There are other forms of agricultural innovation, and their uptake likely will always vary even within the same commodity and region. Second, taking a reductive approach to understanding adoption of agri-innovations may hinder the transformation to sustainable agriculture production systems; it is important to understand the role of complexity in shaping the dynamic interplay among determinants. Third, public infrastructure is more than just the Internet, yet there was little reference to other forms of public infrastructure in the dataset. Fourth, while many papers argue public policy is important for increasing the adoption of these innovations, few provide concrete policy suggestions or scalable examples. Fifth, trust and transparency are central to adoption. Technology developers need to take farmers concerns and needs seriously. Sixth, technology developers must offer practical solutions to real problems. Seventh, automation and robotics encompasses many technologies, and yet no standard or consistent terminology exists. This makes communication about these innovations more difficult. We propose a typology under the rubric of data-driven agricultural technologies.

Experiences and Challenges for Critical Care Nurses in Work Related to Medical Device Alarms

Critical care nurses, who are at the frontline of recognizing and answering alarms, face various challenges while undertaking this task. The purpose of this qualitative study is to gain more insight into the experiences of critical care nurses working with medical equipment alarms. A qualitative, descriptive design was used to explore this area. Fifteen critical care nurses, recruited using purposive sampling, participated in semistructured interviews. These were recorded and coded, and data were analyzed using content analysis. Four themes and fifteen related subthemes emerged, including: (1) emotional experience (sub: anxiety/dysphoria, helplessness, worry, ambivalence); (2) physical symptoms (sub: hearing disorder, sleep disturbances, exhaustion, inattention); (3) new challenges (sub: multiple nursing roles, inconsistent practice guidelines, unsatisfactory human-machine interaction, nurse attribute); and (4) coping strategies (sub: positive alarm culture, effective teamwork, development of technology). Healthcare administrators should focus not only on the nurses themselves, but also on objective factors such as organization and technology, which contribute to the empowerment of ICU nurses and can encourage them to participate in clinical alarm management.

Molecular Characteristics and Processing Technologies of Dairy Products from Non-Traditional Species.

Non-bovine dairy animals, commonly referred to as non-traditional dairy species, include goats, sheep, yaks, buffalo, donkeys, alpacas, llamas, and other less commonly farmed species. These animals have been integral to livestock systems since ancient times, providing milk and other essential products. Despite their historical significance, dairy production from many of these species remains predominantly confined to rural areas in developing countries, where scientific advancements and technical improvements are often limited. As a consequence of this, the scientific literature and technological developments in the processing and characterization of dairy products from these species have lagged behind those for cow's milk. This review aims to compile and analyze existing research on dairy products derived from non-traditional animals, focusing on their molecular characteristics, including proteins (alpha, beta, kappa, and total casein), fats (cholesterol and total fat), lactose, albumin, ash, total solids, and somatic cell count, among others, for each of these species. Additionally, we discuss emerging technologies employed in their processing, encompassing both non-thermal methods (such as high-pressure processing, pulsed electric fields, ultrasound processing, UV-C irradiation, gamma radiation, microfiltration, and cold plasma processing) and thermal methods (such as ohmic heating). This review also explores the specific potential applications and challenges of implementing these technologies. By synthesizing recent findings, we aim to stimulate further research into innovative technologies and strategies that can enhance the quality and yield of non-bovine dairy products. Understanding the unique properties of milk from these species may lead to new opportunities for product development, improved processing methods, and increased commercialization in both developing and developed markets.

The Answer of the Question „Is Artificial Intelligence Artificial?“

The report provides an opportunity for educational enrichment by offering essential information and analysis on one of the most important and exciting topics in contemporary science and technology. The choice to write about this topic is motivated by its relevance, complexity, and significance for modern society and technological development.

The role of digital transformation in ensuring the level of technological development of industries and enterprises

In the context of the development of the data economy, the implementation of the policy of import substitution, and the increase in technological sovereignty, the study of the impact of digital transformation on increasing the level of technological development of industries and enterprises is of particular importance and relevance. The purpose of the study is to systematize, based on statistical dynamic data, the directions of digital transformation to ensure the technological development of industry. The scientific novelty of the study lies in the correlation of trends in digital transformation and technological development of the industrial sector. Description, comparative analysis, trend graphs, regression analysis, generalization and systematization of data were used as research methods. Based on the results of the study, the following conclusions were obtained: indicators of innovation activity and the effectiveness of research activities remain relatively low, while the trend of reduction in the number of researchers continues; the development of the data economy has contributed to increased investment in the development of information and communication technologies, but on average less than 2% of the population is employed in the field of information technology; the cost share of purchased domestic software is steadily increasing in government agencies while decreasing in commercial organizations, which negatively affects the implementation of information security policies and import substitution of technologies in the field of data management; Organizations have seen an increase in the use of integrated management information systems, mainly based on technologies such as ERP–systems, CRM–systems and supply chain management systems. The analysis of trends in the influence of digital transformation in ensuring the level of technological development presented in the article can be used as the initial information, statistical and analytical basis for developing programs to stimulate technological renewal of industrial sectors and enterprises.

Scientific and innovation potential recovery of Ukraine: from entrepreneurial to innovation universities

The article reveals the modern problem of Ukrainian strategizing practice of socio-economic development that a separate factor associated with the creation of research, entrepreneurial, and innovation Universities has been absent there. It is shown that this reality directly contradicts the current world trends, where the development of the mentioned types of universities is an important priority of the state economic policy. An analysis of the evolutionary transformation of the content and role of the functioning of university-type institutions as a production factor of the economic development of countries, which ensures the influence of the scientific activity of universities on the effectiveness of economic systems, is performed. A review of the literature is presented, which demonstrates the evolution of organizational types of universities from purely research to entrepreneurial and innovative ones.A problematic analysis of the state of innovative performance of Ukrainian universities, particularly those that had the status of “research”, was carried out according to official statistics of inventive activity, which reflect the indicators of the stages of the innovation cycle: the number of received patents, inventions, useful models and industrial samples. This analysis of the innovation potential of the leading Ukrainian universities showed that they do not ensure the commercialization of their inventions and scientific and technological developments in the form of industrial samples. In this context, for the post-war restoration of the scientific and innovative potential of Ukraine, it is proposed to create organizational and material and technical conditions for the formation and effective functioning of research, entrepreneurial and innovative universities. It is shown that the implementation of an innovative model of economic development in Ukraine determines new principles of organization of the field of higher education and science, which provide this field with a central place in innovation ecosystems through the introduction of the “Triple Helix” model that should be included in management on all stages of innovation cycle.

Scenario-Based Modeling of Agricultural Nitrous Oxide Emissions in China

Agricultural land in China represents a major source of nitrous oxide (N2O) emissions, and as population growth and technological advancements drive agricultural intensification, these emissions are projected to increase. A thorough understanding of historical trends and future dynamics of these emissions is critical for formulating effective mitigation strategies and advancing progress toward the Sustainable Development Goals. This study quantifies N2O emissions across 31 provinces in China from 2000 to 2021, employing the IPCC coefficient method alongside China’s provincial greenhouse gas inventory guidelines. The spatiotemporal evolution of emission intensities was examined, with the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model employed to assess the influence of population, technological development, economic growth, and energy structure. The findings confirm that agricultural land remains the primary source of N2O emissions, with significantly higher levels observed in eastern coastal regions compared to western inland areas. Implementing targeted mitigation strategies, such as enhanced agricultural- and manure-management practices and region-specific interventions, is imperative to effectively curb the rising emission trends.