Implementation Of Technology Research Articles

Tractor Power Take-Off and Drawbar Pull Performance and Efficiency Evolution Analysis Methodology and Model: A Case Study

Previous studies on tractor performance and efficiency were conducted prior to the implementation of emission reduction technologies and the increased density and complexity of tractor portfolios. This study presents a robust methodology for forecasting specific fuel consumption based on public information, which incorporates physical attribute-based cohorts and technological generation groupings, alongside variables such as wheelbase, mass, and power take-off power. The proposed model significantly improves forecasting accuracy, enhancing the current R-squared (RSq) from 0.6091 to 0.8519 and reducing the root mean square error (RMSE) from 0.0098 to 0.0065. Additionally, the model provides accurate predictions of drawbar performance and efficiency. Its simplicity results in low cognitive and computational demands, making it accessible via widely available spreadsheet software on any computer or handheld device. This accessibility supports data-driven decision-making for tractor replacement strategies, ultimately promoting sustainable profitability in agricultural business operations.

Optimization of cyber security through the implementation of AI technologies

Abstract Identification of cyber threats is crucial and significant for determining substantial security techniques and approaches. This research illustrates a brief discussion of cyberspace challenges and threats in a disruptive era alongside comprehensive approaches in mitigating the risk of cyber threats. Additionally, the aim of this research is to provide beneficial approaches on how to handle cyber threats in detail. For example, threats and attacks may be caused in the absence of legislation, ethical standardization, support system, and lack of access control. The governance system, therefore, will put a lot of effort into communicating, identifying, and enforcing the principles of security to moderate risk. The Metaheuristic algorithms are stimulated by the human brain, so implementing Artificial Intelligence (AI) that assists the Neural Network to mimic the behaviour of the human brain is important to predict significant outcomes. In this study, the author investigates and analyses the rapid growth of cyber threats to outline the solutions. The aim of this study is to contribute to cyber security optimization through implementing AI methodologies.

Taking into account students' psychotypes and using their neuropsychological maps when implementing digital educational technologies within the Metaverse

The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their graduate studies were compared. To determine the students' psychotype, the Questionnaire of Character Accentuations, the Methodology for Determining the Dominant Hemisphere of the Brain and the Type of Interhemispheric Asymmetry, the Methodology for Diagnosing the Volitional Potential of an Individual, the Individual-Typological Questionnaire, and the Methodology for Determining the Structure of Temperament were used. The results of the psychodiagnostic testing were compared with the data of electroencephalography (EEG) neuroimaging. The following statistical methods were used to analyze the research results: Student's t-test, ANOVA analysis of variance, and Pearson's correlation coefficient. As a result of studying the features of the neuropsychophysiological profile of students, a persistent predominance of such character traits as anxiety, excitability, cyclothymia, and emotional sensitivity was revealed. A relationship was demonstrated between students' personality psychotypes, their neuropsychological profiles, and the success of their learning outcomes. It was revealed that learning using digital online technologies in the context of the Metaverse has a positive effect on the development of the mobility of neural processes, and cognitive and psychophysiological mechanisms, increases the involvement and motivation of students to acquire new knowledge, helps to normalize the balance between the psychophysiological processes of excitation and inhibition, activates the areas of the cerebral cortex responsible for will, emotions, self-awareness, motivation and communication, contributes to the development of communicative competence, critical thinking and creative potential of the student's personality. The scientific contribution of the authors is to confirm the relationship between the students' psychotype, the dominant activity of the brain lobes, and the level of academic success, which substantiates the positive significance of individualization of learning based on the introduction of virtual and augmented reality technologies into the educational process in higher education institutions. The results of the study can be used to optimize and increase the efficiency of the educational process through the implementation of Metaverse technologies. The study of the influence of gender and age-related psychophysiological characteristics of an individual on his or her learning ability in the context of andragogy is considered a promising direction of research.

Navigating the Future: Examining Sustainable and Resilient Drivers Shaping the Integration of Crowdshipping in E‐Commerce Logistics

ABSTRACTThe last mile is often subjected to unique challenges such as congested urban areas, unpredictable customer availability and the need for personalized services. To address these complexities, and to be competitive in the market, companies are increasingly turning towards innovative solutions. One such innovative solution is crowdshipping (CS). The concept of CS was first introduced by Walmart in 2013, where store customers may act as crowdshippers and fulfill the demands of online retailers or shops by transporting packages on their way home with guaranteed compensation. To understand the factors influencing CS and its potential to motivate logistics firms for delivery, this research work determines the 20 key sustainable and resilient factors affecting the adoption of CS in the e‐commerce logistics sector. Furthermore, the Neutrosophic Best‐Worst Method (NBWM) is employed to prioritize these factors, followed by the application of Neutrosophic Interpretive Structural Modeling (NISM) with cross‐impact matrix multiplication applied to classification (MICMAC) analysis to assess the interrelationships amongst the factors. The results of the NBWM reveal that technology for the successful implementation of CS, rating and reward system, delivery cost–time efficiency, CO2 emissions and service quality are the top five highly weighted factors. The results of NISM dictate the technology for the successful implementation of CS, integration of CS with the mainstream (operations research models), government interventions and the usage of back‐up drivers as the factors with the highest driving power. The proposed NBWM and NISM give direction to practitioners and policy managers in planning sustainable and resilient strategies for addressing CS implementation factors in the e‐commerce logistics sector. Further, competent strategies can be developed by the managers based on the prioritization and the driving and dependence power of CS adoption factors.

Integrasi Teknologi Digital dalam Pembelajaran Biologi: Analisis Kualitatif terhadap Pemahaman Konseptual dan Keterampilan Abad 21

The development of digital technology has brought significant changes in various aspects of life, including education. In biology learning, digital technology offers innovative solutions to overcome challenges in understanding abstract concepts, increase learning motivation, and develop 21st century skills. Interactive simulations, augmented reality (AR), virtual reality (VR) and online learning platforms allow students to visualize complex biological concepts, such as photosynthesis and DNA replication, more clearly and deeply. In addition, the integration of digital technology can improve students' critical thinking skills, creativity, collaboration and digital literacy. However, the implementation of digital technology in biology learning faces various challenges, including limited infrastructure, access gaps between urban and rural schools, and lack of training for educators. This study aims to explore the impact of digital technology on students' conceptual understanding and 21st century skills, and identify the main barriers to its implementation. The results of this study are expected to provide recommendations for the development of more effective and innovative biology learning strategies in the digital era

Industry Stakeholder Perceptions of Carbon Capture, Utilization, and Storage: The Case Study of the Tees Valley Industrial Cluster

Carbon capture, utilization, and storage (CCUS) is an essential mitigation technology to contribute to the Net Zero transition. It captures carbon dioxide (CO2) emissions from industry processes and either purifies and inserts the gas again in the circular economy (utilization) or transports it to a suitable underground storage, stopping emissions. The United Kingdom (UK) has unique geology, skills, and infrastructure and consequently a strategic advantage for CCUS when compared to other countries, especially the coastal North Sea regions (e.g., Tees Valley). This study focused on the Tees Valley Industrial Cluster to understand the constraining and enabling factors of the CCUS technology deployment, from the perspective of local experts and practitioners, whose role is to implement actions to reduce GHG emissions. Two workshops were held to explore practitioners’ attitudes towards the technology, perceived benefits of the technology, barriers and enablers for implementation and factors that would need to be in place to support technology implementation. Qualitative data collected in the workshops were analyzed to identify common themes. Participants agreed that business and industry sectors must play their part in mitigating climate change. They also agreed that it is fundamental to support the green transition and the implementation of net zero-related technologies. The perceived benefits of CCUS are the contribution to fulfill Environmental, Social, Governance (ESG) standards and an increased ability to attract young workers, interested in sustainability. Barriers for implementation include lack of knowledge about the technology, costs of the technology, volatility of the carbon markets, political uncertainty, risks, and negative public perceptions. Regional factors such as local political support were identified as crucial to the success of technology deployment. A reliable UK Industry Strategy, investment in the technology and supply chain, local investment in skills, knowledge, education, and research were considered essential to ensure further technology adoption. Received: 7 August 2024 | Revised: 10 December 2024 | Accepted: 20 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Author Contribution Statement Diana Feliciano: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration, Funding acquisition. Dawid Hanak: Conceptualization, Methodology, Investigation, Data curation, Project administration, Funding acquisition.

First Integration of a Service Robot and a Communication Application into a Nursing Isolation Setting – An Observational Study Evaluating Walking Distances, Stress and Radiation Doses

Abstract Nurses spend a significant proportion of a workday on non-nursing or auxiliary tasks, mainly due to the unilateral patient call system. This leads to work interruptions, a decrease in quality of care and stress for nurses. One approach for relieving nurses is the integration of new technologies. We performed an interventional study for seven months in a nuclear medicine station in a maximum care hospital, where we integrated a smartphone app for patient-staff communication in combination with a service robot for delivery of non-nursing and service items and evaluated the effects on walking distances and stress. We also examined the radiation dose to the nursing staff. To this purpose, we observed nurses at nine different time points for six shifts to measure walking distances and interruptions. Additionally, nurses and service personnel completed a questionnaire adapted from the NASA RAW TLX at the end of each shift to assess stress. Short walking distances accounted for the largest share of the caregivers’ walking distances. There was no direct effect of the technique on stress levels and walking distances, only a shift towards shorter walking distances with longer implementation. The total number of walking distances seemed to be proportional to the feeling of interruption and the individually experienced stress. This first use of the combined technology implementation in the acute clinic worked well. While this work provides an initial indication of where the implementation of this combined technology could potentially relieve the burden on nurses and service staff, further research is needed to establish causal relationships.

Long-Term Monitoring of Individuals With Chronic Obstructive Pulmonary Disease Using Digital Health Technology: Qualitative Study.

Digital health adoption in clinical practice has been widespread, yet there remains further potential for optimizing care specifically for chronic obstructive pulmonary disease (COPD). This study therefore conducted qualitative research involving 35 health care professionals from a range of hospitals in Taiwan. This study aims to investigate barriers and facilitators related to the implementation of digital health technology (DHT) in the long-term monitoring of individuals with COPD based on clinical experiences in Taiwan. The perspectives of Taiwanese health care professionals provided valuable insights into the challenges and opportunities associated with using DHT for the management and enhancement of respiratory rehabilitation and long-term monitoring of patients with COPD. Several key themes related to the development of DHT were identified. Barriers encompassed concerns pertaining to digital safety, insurance coverage, constraints related to medical resources, and the presence of a digital divide. Facilitators included the potential for cost reduction, personalized prescriptions, and instilling motivation in users. To enhance the acceptance and use of DHT, embracing a user-centered approach that prioritizes the distinct needs of all parties involved is recommended. Moreover, optimizing and leveraging the effective use of DHT in managing the health of individuals with COPD promises to deliver care characterized by greater precision and efficiency. Overall, the benefits of using DHT for the long-term care of patients with COPD outweigh the disadvantages. After the COVID-19 pandemic, there has been an increased emphasis in Taiwan on the effectiveness of DHT in managing chronic diseases. Relevant studies including this paper have suggested that web-based exercise management systems could benefit patients with COPD in rehabilitation and tracking. Our findings provide meaningful directions for future research endeavors and practical implementation. By addressing identified barriers and capitalizing on facilitators, advancements can be made in the development and use of DHT, especially in overcoming challenges such as information security and operational methods. The implementation of the recommended strategies will likely lead to improved COPD care outcomes.

A review on enhancing water productivities adaptive to the climate change

ABSTRACT Crop water requirements depend on climate, soil, and plant characteristics, necessitating responsive and adaptive irrigation systems for efficient water use. The objectives of this study include assessing the implementation of irrigation technology and its impact on water use efficiency, reviewing smart irrigation systems employed as irrigation management systems, and introducing evapotranspirative irrigation technology as a straightforward smart irrigation approach. Globally, research on irrigation technologies highlights significant potential for water conservation. Smart irrigation system, as a facet of irrigation system management, is considered strategic approach for effective irrigation implementation. The adoption of micro-irrigation systems in cultivated crops has shown promising results in enhancing water productivity and significantly increasing yield rates, but smallholder farmers resist due to high costs. This study introduces innovative approaches using simple automatic technology based on the principle of evapotranspiration, aiming to mitigate high costs. This technology is designed to distribute water optimally at the highest evapotranspiration rate during prolonged dry periods. The key success indicators focus on water productivity, encompassing crop water, irrigation water, and total water. The evapotranspirative irrigation system is pivotal in regulating evapotranspiration rates, resulting in reduced water evaporation and increased land and water productivities, making it adaptive to the impacts of climate change.

From Algorithms to Authenticity: Ensuring Ethical Customer Engagement in the Age of Artificial Intelligence

Integrating artificial intelligence (AI) into customer engagement practices transforms how organizations interact with consumers and offers enhanced personalization and efficiency. However, this technological evolution introduces significant ethical challenges, including algorithmic bias, data privacy violations, and a potential decline in consumer trust. This research, Algorithms to Authenticity (ATA), investigates the intricate relationship between AI technologies and authentic, ethical engagement strategies. The central idea of the research study is to explore three main questions: 1. How can businesses effectively implement AI technologies to improve customer engagement ethically? 2. What are the ethical dilemmas and potential risks associated with AI-driven customer engagement? 3. How can transparency and authenticity be maintained in AI-driven interactions to foster trust? The study emphasizes the urgent need for businesses to transition from an algorithm-centric model to one that prioritizes authenticity. This research analyzed ethical concerns for maintaining consumer trust and loyalty. The result of the study aims to provide actionable insights to help businesses navigate the ethical challenges posed by AI to reinforce the commitment to ethical standards while enhancing consumer satisfaction. The study's findings advocate for transparency, accountability, and proactive measures mitigating the risks associated with AI deployment. Given the findings, the three key directions of the study are promoting ethical AI implementation, addressing risks associated with algorithmic misuse, and enhancing transparency to foster authentic customer relationships and trust, reinforced by the concept of ATA ensuring ethical customer engagement. The directions guide organizations, researchers, and policymakers toward ethical AI practices.

Implementation of Additive Manufacturing Technologies for the Growth and Sustainability of Manufacturing SMEs in Saudi Arabia: An Exploratory Study

International distribution compels global value chain members to demand highly innovative and technological advancements in their products and processes. The members include small, medium, and large enterprises from both the manufacturing and service categories. Due to short product lifecycles and resource limitations, SMEs are unable to fulfill global value chain requirements in terms of new product development, consequently struggling to sustain manufacturing. In Saudi Arabia, more than 10% of SMEs currently belong to the manufacturing sector, and the majority continue to use conventional manufacturing technologies. Against this backdrop, and to strengthen existing SMEs and enhance their growth, the author conducted a comprehensive literature review on the applicability of additive manufacturing technologies in the manufacturing of various products. The review indicated that the implementation of additive manufacturing technologies faces several difficulties; thus, the author selected two manufacturing SMEs to obtain information on the necessary requirements to implement additive manufacturing technologies. The author interacted with executives from two manufacturing companies, one located in Sudair Industrial City and the other in the industrial center of Dammam. These interactions revealed that better financing, industry–academia collaborations, and stronger inter-company ties boost the adoption of additive manufacturing and support SME growth. Optimizing the use of resources, minimizing the use of materials during the production process through the use of 3D printing technologies, and optimizing time and labor costs help to enhance the economy, which is one of the main components of sustainability.

Co Nanoparticles on MnO: Electron Transfer through Ohmic and S-Scheme Heterojunction for Photocatalytic Hydrogen Evolution.

The photocatalytic hydrolysis method represents a significant potential solution to the dual challenges of energy security and environmental sustainability. The selection of suitable photocatalytic materials and systems is of paramount importance for the successful implementation of photocatalytic hydrogen production technology. In this study, in situ reduction of Co nanoparticles on MnO was successfully performed by calcining MnCo-PBA. Furthermore, graphdiyne (GDY) was successfully introduced by physical agitation. The introduction of GDY reduced Co/MnO agglomeration and made the Co/MnO/GDY catalyst exhibit high activity in hydrogen production, with an optimum production rate of 2117.33 μmol·g-1·h-1, which was 4.88 and 2.67 times higher than that of GDY and Co/MnO, respectively. The results of the photoelectrochemical test indicate that the composite catalyst has a better photogenerated carrier separation efficiency. In situ X-ray photoelectron spectroscopy, density functional theory calculations, and electron paramagnetic resonance were used to investigate the electron transfer mechanism during the photocatalytic process, confirming the presence of an S-scheme heterojunction and an ohmic junction, which enhance the separation of photogenerated carriers. The GDY-based heterojunction catalyst constructed in this study has the potential to significantly enhance the hydrogen production activity of bimetallic catalysts.

5G Internet in Rural Areas: Impacts, Challenges and Sustainable Strategies for Development

Objective: This study aims to investigate the impacts, challenges, and strategies related to the implementation of 5G technology in rural areas, with the goal of promoting sustainable development and digital inclusion. The research also seeks to identify specific benefits of 5G for the agricultural sector and evaluate how its adoption can transform rural communities. Theoretical Framework: This study is based on concepts such as precision agriculture, agricultural automation, and digital inclusion, emphasizing the implications of high-speed connectivity in rural development. Theories related to the economic and social impacts of 5G technology provide a solid foundation for understanding the potential and barriers associated with its implementation. Method: The research adopted a systematic bibliographic review approach, including the selection of theoretical and empirical studies published in the last ten years. Data collection was conducted in recognized academic databases, such as Scopus, IEEE Xplore, and Web of Science, using keywords related to 5G and its application in rural areas. The analysis categorized the data into benefits, challenges, and strategies, allowing for a comparative discussion of the findings. Results and Discussion: The results revealed that, although the implementation of 5G faces significant challenges, such as insufficient infrastructure and high costs, the potential benefits are substantial. The technology can revolutionize precision agriculture through IoT sensors, drones, and artificial intelligence, increasing efficiency and sustainability in agricultural operations. Additionally, 5G's ability to drive economic development, expand digital inclusion, and improve access to essential services such as telemedicine and online education was highlighted. Research Implications: This study provides insights into how 5G technology can be applied to transform rural areas, benefiting sectors such as agriculture, healthcare, and education. The implications include strategies to overcome implementation barriers and the potential to reduce digital exclusion, promoting innovation and sustainability in rural communities. Originality/Value: The research contributes to the literature by offering a comprehensive analysis of the challenges and benefits of 5G in rural areas, highlighting its relevance for digital transformation in the agricultural sector and community development. Its originality lies in the integration of economic, social, and technological dimensions, providing practical recommendations for adopting 5G in remote regions.

Efficient Identification of Monoclonal Antibodies Against Rift Valley Fever Virus Using High-Throughput Single Lymphocyte Transcriptomics of Immunized Mice

Background: Rift Valley fever virus (RVFV) is a zoonotic virus that poses a significant threat to both livestock and human health and has caused outbreaks in endemic regions. In humans, most patients experience a febrile illness; however, in some patients, RVF disease may result in hemorrhagic fever, retinitis, or encephalitis. While several veterinary vaccines are being utilized in endemic countries, currently, there are no licensed RVF vaccines or therapeutics for human use. Neutralizing antibodies specifically targeting vulnerable pathogen epitopes are promising candidates for prophylactic and therapeutic interventions. In the case of RVFV, the surface glycoproteins Gc and Gn, which harbor neutralizing epitopes, represent the primary targets for vaccine and neutralizing antibody development. Methods: We report the implementation of advanced 10x Genomics technology, enabling high-throughput single-cell analysis for the identification of rare and potent antibodies against RVFV. Following the immunization of mice with live attenuated rMP-12-GFP virus and successive Gc/Gn boosts, memory B cell populations (both general and antigen-specific) were sorted from splenocytes by flow cytometry. Deep sequencing of the antibody repertoire at a single-cell resolution, together with bioinformatic analyses, was applied for BCR pair selection based on their abundance and specificity. Results: Twenty-three recombinant monoclonal antibodies (mAbs) were selected and expressed, and their antigen-binding capacities were characterized. About half of them demonstrated specific binding to their cognate antigen with relatively high binding affinities. Conclusions: These antibodies could be used for the future development of efficacious therapeutics, as well as for studying virus-neutralizing mechanisms. The current study, in which the single-cell sequencing approach was implemented for the development of antibodies targeting the RVFV surface proteins Gc and Gn, demonstrates the effective applicability of this technique for antibody discovery purposes.

Research on Grouting Pressure of Earth–Rock Dams Reinforced by Polymer Based on Discrete Elements

As a novel seismic reinforcement measure for earth–rock dams, the PFA-reinforced rockfill materials technology lacks comprehensive investigation into both its reinforcement efficacy and the underlying mechanisms. In this study, we establish a fluid–solid coupling model of PFA-reinforced rockfill materials utilizing the matrix discrete element software MatDEM3.24, developed independently by Nanjing University. The model simulates the dynamic process of polymer grouting within the rockfill body and analyzes the impact of slurry diffusion patterns and various grouting pressures on polymer grouting. Our findings reveal that the diffusion of polymer foam in rockfill occurs in three distinct stages, which are characteristic of penetration grouting. Moreover, we observed that grouting pressure had a significant effect on the diffusion range of the slurry, with greater sensitivity noted in the Z direction. Additionally, we observed a decrease in porosity with increasing grouting pressure, and stress augmentation exhibited an approximately linear relationship with grouting pressure, but the stress augmentation in different directions was different. These research outcomes offer valuable insights into the practical implementation and optimization of PFA-reinforced rockfill materials technology, bearing considerable engineering implications.

The Role of Information Technology in Supporting Transparency and Accountability of Village Government in Tongke-Tongke Village

Bureaucratic reform at the village level is a strategic step to enhance transparency and accountability in governance. This study aims to analyze the role of information technology in supporting transparent and accountable governance in Tongke-Tongke Village. Using a descriptive qualitative approach, the research involved observations, surveys, and documentation to collect data from village officials, the community, and external policies. The findings reveal that the implementation of information technology, such as official websites and Android-based applications, has successfully improved administrative efficiency, strengthened information openness, and enabled active community participation in decision-making processes. Additionally, digitally documented village financial reports allow the community to monitor budget management in real-time. However, key challenges include low digital literacy and limited internet infrastructure. Through regular training and collaboration with internet service providers, Tongke-Tongke Village demonstrates its commitment to creating better governance. This study concludes that information technology can serve as a key catalyst for accelerating bureaucratic reform at the village level.

“Being there”: detailed ethnography, detective work and a little imagination

PurposeThis methodological paper aims to push the boundaries of workplace ethnographies, where technologies in general and the implementation of new technologies in particular are being studied. Intrigued by the experience that “being there” is not enough, and sometimes not even possible, we discuss complementing aspects of the “how” of the work on the ground that set the foundation for high-quality ethnographic studies.Design/methodology/approachTo this end, we mobilize Latour’s (1992, 1993, 2005) thinking around a sociology of translation and how non-humans bring essential force to social relations, and Leonardi’s (2017) three-step methodology for dealing with material, materiality and how matter comes to matter. We illustrate our argument with ethnographic material telling a story of the “life and death” (c.f. Law and Callon, 1992) of visualization boards at a local site of a global manufacturing company.FindingsOur findings suggest that detailed ethnography is the foundation for allowing the progressive detective and imagination work we argue is required in technology-focused workplace ethnographies. “Being there” is the foundation, and it grants us the privilege of doing the important work of joining the dots where senses-enabled trajectories disappear.Originality/valueThe paper puts forward an approach to ethnographic on-the-ground work that encourages detective work and imagination to “join the empirical dots” when “being there” is not enough.

Friction Stir Welding in Aircraft Structures: Current and Future Prospects

Friction stir welding (FSW) has significant potential to enhance the efficiency of air transportation systems; however, determining and applying its parameters continues to pose challenges. This article review explores current and future challenges, trends, and practices that facilitate the integration of competitive production into new aircraft structure joints. An overview of friction stir welding techniques used for the design and manufacture of aircraft structures are presented, focusing on product optimization through lightweight and high-strength properties. The implementation of various design solutions and advanced manufacturing technologies can enhance metallic fuselage systems’ performance without compromising risk and cost. The paper presents examples of successfully addressed challenges and those driving the development of new practices, design solutions, methods, and tools. Ultimately, aircraft structure joints become more integrated when systems engineering approaches are linked with various design solutions and advanced manufacturing technologies (e.g., Vertical Compensation Friction Stir Welding) in a reusable manner, balancing product performance and producibility. Nevertheless, the field remains in active development, posing challenges for research, development, and practice.

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STANDARDIZATION AND IMPROVEMENT OF NURSING CARE

Background. The rapid advancement of artificial intelligence technologies and their implementation in medical practice create new opportunities for enhancing the quality of patient care. In the context of growing healthcare service demands and a shortage of qualified personnel, artificial intelligence plays a crucial role in optimizing nursing processes, improving diagnostic accuracy and forecasting, as well as increasing the efficiency of healthcare staff. Research objective. To examine nurses’ perceptions of artificial intelligence technologies and their readiness to integrate artificial intelligence into nursing practice in order to enhance the efficiency of patient care and optimize work processes. Materials and methods. An analysis of publications on the research topic was conducted using sources such as PubMed, Google Scholar, Web of Science, and Scopus. The results of a literature review are presented, focused on studying the use and understanding of artificial intelligence among nurses. Research results. A literature review has demonstrated that artificial intelligence holds significant potential to transform healthcare by enhancing diagnostic accuracy, personalizing treatment, improving administrative efficiency, and optimizing healthcare staff coordination. Artificial intelligence contributes to the automation of routine tasks, supports clinical decisionmaking, predicts outcomes, improves patient monitoring, and reduces workload and burnout risk among nurses. However, the implementation of artificial intelligence in medical practice requires enhanced education and training for healthcare personnel to overcome acceptance barriers, address ethical considerations, and ensure data security. Conclusion. Artificial intelligence has a significant impact on healthcare by improving the quality of care and optimizing workflows. Nurses play a crucial role in its integration, which requires enhancing their knowledge and training. Studies indicate the need for developing educational programs to improve nurses’ competencies in using artificial intelligence, ensuring more effective and safer implementation of technologies into practice.

One hundred thirty years of armed conflict: Challenges and opportunities in technology adoption

Abstract This article aims to comprehend the processes of forecasting and adopting new technologies by the armies of modern states. In this regard, we studied the relevant literature regarding a series of wars where new technologies were widely implemented, ranging from the American Civil War to the Gulf War. The identification of successful and failed examples of forecasting and adoption has led us to identify certain timeless trends that persist despite the passing of years, technological evolutions and manners of conducting combat. These trends, which include the fact that individuals who make the most accurate forecasts often differ from those who influence the implementation of novel technologies, the importance of a high educational level within both military and social ecosystems for the emergence, recognition and effective implementation of technological innovations and the influence of political systems and military administrative structures, are presented in the conclusion of the article.