ІННОВАЦІЇ В НАНОМЕДИЦИНІ ТА НАНОФАРМАЦІЇ

The review examines current trends in the development of biomedical nanotechnology, its application in various fields of medicine and prospects for further development. Among the main directions — monitoring and control of delivery, distribution and use of drugs; nanobiosensors; diagnostics of pathological states; theranostics; use of nanostructured materials in regenerative medicine; nanotoxicology; nanophytopharmacy; green synthesis; development of new nanobiotech devices and nanorobototics.The review examines current trends in the development of biomedical nanotechnology, its application in various fields of medicine and prospects for further development. Among the main directions — monitoring and control of delivery, distribution and use of drugs; nanobiosensors; diagnostics of pathological states; theranostics; use of nanostructured materials in regenerative medicine; nanotoxicology; nanophytopharmacy; green synthesis; development of new nanobiotech devices and nanorobototics

Rapid manufacturing as a tool for agile manufacturing: applications and implementation perspectives

Manufacturing engineers and technologists around the globe are already well familiar with manufacturing methodologies and systems developments in the last part of the twentieth century. Many are probably also familiar with the current state of Rapid Prototyping (RP) technologies, especially in the areas of concept model making and prototype development. They may not however, be so familiar with the more recent developments of these technologies towards Rapid Manufacturing (RM) and the directions which the applications of RM technologies are taking for agile manufacturing purposes in particular. This paper critically reviews the various technologies currently available, outlines development trends in RM, discusses the approach, application and implementation perspectives by which these RM technologies are applied for increasing agility and responsiveness in manufacturing. Furthermore, the paper describes two case study examples to further illustrate the application scenarios in agile manufacturing before concluding remarks

Blockchain Application in Food Supply Chains: Bibliometric Analysis and Future Research

This study aimed to organize and analyze studies on blockchain application in food supply chains and to discover emerging research themes and topics using cluster analysis to determine future research directions. Bibliometric analysis was used to organize and analyze the literature on blockchain application in food supply chains. The database consisted of 629 Scopus-indexed articles from 2016 to 2021. These were organized using bibliometric analysis (e.g., annual publication trends) and content analysis (e.g., research method applied). Themes and emerging research trends were then clustered based on keywords using the VOSviewer software. The analysis showed that manufacturing is the type of industry that most applies the blockchain. Trust is the most-cited benefit achieved by blockchain application, while traceability is the most-claimed function. Keyword classification resulted in seven main clusters (e.g., sustainability and transparency) and each cluster had emerging research trends (e.g., resilience toward sustainability and transparency). This research provides an overview of scientific development and emerging application trends related to blockchain application in food supply chains

Enhancing mental health with Artificial Intelligence: Current trends and future prospects

Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application in mental healthcare is no exception. Hence, this review explores the integration of AI into mental healthcare, elucidating current trends, ethical considerations, and future directions in this dynamic field. This review encompassed recent studies, examples of AI applications, and ethical considerations shaping the field. Additionally, regulatory frameworks and trends in research and development were analyzed. We comprehensively searched four databases (PubMed, IEEE Xplore, PsycINFO, and Google Scholar). The inclusion criteria were papers published in peer-reviewed journals, conference proceedings, or reputable online databases, papers that specifically focus on the application of AI in the field of mental healthcare, and review papers that offer a comprehensive overview, analysis, or integration of existing literature published in the English language. Current trends reveal AI's transformative potential, with applications such as the early detection of mental health disorders, personalized treatment plans, and AI-driven virtual therapists. However, these advancements are accompanied by ethical challenges concerning privacy, bias mitigation, and the preservation of the human element in therapy. Future directions emphasize the need for clear regulatory frameworks, transparent validation of AI models, and continuous research and development efforts. Integrating AI into mental healthcare and mental health therapy represents a promising frontier in healthcare. While AI holds the potential to revolutionize mental healthcare, responsible and ethical implementation is essential. By addressing current challenges and shaping future directions thoughtfully, we may effectively utilize the potential of AI to enhance the accessibility, efficacy, and ethicality of mental healthcare, thereby helping both individuals and communities

Enhancing Mental Health with Artificial Intelligence: Current Trends and Future Prospects

Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application in mental healthcare is no exception. Hence, this review explores the integration of AI into mental healthcare, elucidating current trends, ethical considerations, and future directions in this dynamic field. This review encompassed recent studies, examples of AI applications, and ethical considerations shaping the field. Additionally, regulatory frameworks and trends in research and development were analyzed. We comprehensively searched four databases (PubMed, IEEE Xplore, PsycINFO, and Google Scholar). The inclusion criteria were papers published in peer-reviewed journals, conference proceedings, or reputable online databases, papers that specifically focus on the application of AI in the field of mental healthcare, and review papers that offer a comprehensive overview, analysis, or integration of existing literature published in the English language. Current trends reveal AI's transformative potential, with applications such as the early detection of mental health disorders, personalized treatment plans, and AI-driven virtual therapists. However, these advancements are accompanied by ethical challenges concerning privacy, bias mitigation, and the preservation of the human element in therapy. Future directions emphasize the need for clear regulatory frameworks, transparent validation of AI models, and continuous research and development efforts. Integrating AI into mental healthcare and mental health therapy represents a promising frontier in healthcare. While AI holds the potential to revolutionize mental healthcare, responsible and ethical implementation is essential. By addressing current challenges and shaping future directions thoughtfully, we may effectively utilize the potential of AI to enhance the accessibility, efficacy, and ethicality of mental healthcare, thereby helping both individuals and communities

Proposal of a System for Estimating the Assembly Time in Small and Medium-Sized Enterprises

This paper presents the results of the development of a specialized modifiable system for estimating the assembly time in practice. The proposal is mainly intended for small and medium-sized enterprises, which require the application of sophisticated and cost-effective solutions given the arising competitiveness in the assembly sector. The ATES system, i.e., Assembly Time Estimation System, which was created in Excel, was tested in the LEANLAB laboratory. The results correspond with current trends in this area and suggest directions for further development, especially in the field of 3D CAD systems and virtual reality

Forward osmosis research trends in desalination and wastewater treatment: A review of research trends over the past decade

Issues of water scarcity and water security have driven the rapid development of various technologies to ensure water sustainability. The forward osmosis (FO) membrane process has been widely recognized as one of the more promising technologies to play an important role in alleviating the issues of water sustainability. Extensive research has been carried out worldwide to explore the potential of FO in desalination, water and wastewater treatment and reclamation. It is of the utmost importance to understand the topics of interest and research trends to further advance the development of FO process technology. In this study, a bibliometric analysis based on the Scopus database was carried out to identify and understand the global research trends of FO process based on 6 main analyses: basic growth trends, journals, countries, institutions, authors, and keywords. A total of 1462 article published between 1967-2018 were extracted from Scopus and used as the raw data for bibliometric analysis using VOSviewer software. The total number of FO articles has sharply increased since 2009 and stabilized at around 250 publications in the past three years. FO research started to diversify after the appearance of commercial FO membranes with improved characteristics, enabling the researchers to employ them for various application studies. Keywords analysis showed that the main directions of FO research could be categorized into three clusters: application of FO, membrane fouling study, and FO membrane synthesis. These bibliometric results provide a valuable reference and information on current research directions of FO for researchers and industry practitioners

Topics of a cross-cutting interdisciplinary course project

Prospects for the development of operation of middle-range cargo aircraft with turboprop engines based on the needs of the European air transportation market. Analytical research of directions and trends in the use of non-destructive testing of the technical condition of the aircraft and its components on the basis of innovative technologies. Concepts of application of ecologically safe methods and means with use of innovative technologies at routine repair of the aircraft and its components in the conditions of real operation. Concepts of application of ecologically safe methods and means with use of innovative technologies at aircraft and its components overhaul. Innovative technology in the continuing airworthiness of aircraft and its components to ensure environmental safety requirements.Technological support of aviation tribomechanical systems reliability on the basis of modern innovative surface hardening technologies. The use of alternative resource-saving and environmentally friendly technologies in the maintenance of aircraft and aircraft engines in real operation. Prospects for directions of creation of high-temperature materials technologies development for tribodes of turbofan engine and power plant hot part

Rise of the Planet of Serverless Computing: A Systematic Review

Serverless computing is an emerging cloud computing paradigm, being adopted to develop a wide range of software applications. It allows developers to focus on the application logic in the granularity of function, thereby freeing developers from tedious and error-prone infrastructure management. Meanwhile, its unique characteristic poses new challenges to the development and deployment of serverless-based applications. To tackle these challenges, enormous research efforts have been devoted. This paper provides a comprehensive literature review to characterize the current research state of serverless computing. Specifically, this paper covers 164 papers on 17 research directions of serverless computing, including performance optimization, programming framework, application migration, multi-cloud development, testing and debugging, etc. It also derives research trends, focus, and commonly-used platforms for serverless computing, as well as promising research opportunities