Current Trends Research Articles

Trends, patterns and predictors of high-risk fertility behaviour among Indian women: evidence from National Family Health Survey.

Numerous studies have demonstrated that high-risk fertility behaviour (HRFB), which includes maternal age below 18 or above 34 years, short birth intervals (less than 24 months), and high parity (birth order above 4), is associated with adverse maternal and child health outcomes. There is a substantial research gap in the domain of high-risk fertility behaviour in the Indian context. Therefore, this study is designed to investigate the current trends and patterns in the prevalence of high-risk births among Indian women, with a primary focus on identifying contributing factors associated with this prevalence. The study utilized data from the nationally representative National Family Health Survey (NFHS), which has been conducted in five rounds since 1992-93. Data from all rounds were used to assess the overall trend. However, data from the most recent round of NFHS, conducted during 2019-21, were employed to evaluate current levels and patterns of HRFB prevalence and to identify socio-economic and demographic predictors of HRFB using binomial and multinomial logistic regression models. The prevalence of HRFB has exhibited a consistent decreasing pattern from 1992 to 93 to 2019-21 in India. However, 29.56% of married women continue to experience high-risk births with notably higher rates in several states (e.g., 49.85% in Meghalaya and 46.41% in Bihar). Furthermore, socio-demographic factors like wealth index, educational level, social group, religion, mass media exposure, family size, age at marriage, type and region of residence, and reproductive factors like birth intention, place and type of delivery, ANC visits and current contraceptive use were identified as significant predictors of high-risk births among women in India. Despite a 20.4 percentage point decline in HRFB prevalence over the past three decades, a significant proportion of women in specific regions and demographic subgroups continue to experience high-risk births. Therefore, the present study recommends interventions aimed at preventing high-risk births among women in India, with particular emphasis on states with high HRFB prevalence and women from socioeconomically disadvantaged backgrounds.

Advancements in robotic-enabled sensing: A European perspective

Robotic Non-destructive Testing and Sensing stands at the forefront of technological innovation, offering capabilities in assessing structural integrity, safety, and material quality across diverse industries. This comprehensive review article provides a detailed exploration of the field, focusing on the substantial contributions of European researchers and institutions. The need for non-destructive testing has been a constant in industries that rely on structural integrity, including aerospace, manufacturing, energy, construction, and healthcare. Traditional testing methods, such as radiography, ultrasonic testing, magnetic particle testing, and dye penetrant testing, have been integral for quality control and safety assurance. However, the robotisation of such methods has marked a profound shift, enabling precise, fast, efficient, and repeatable testing while minimising human exposure to hazardous environments. European researchers and institutions have played an instrumental role in driving the evolution of robotic-enabled sensing. The historical perspective of the field reveals the pioneering spirit of Europe, as collaborative initiatives led to the development of robotic platforms equipped with advanced sensors and testing techniques. A critical aspect of the European impact on robotic inspection applications lies in developing advanced sensors, innovative robotic platforms, novel robotic path-planning and control approaches and data collection and visualisation tools. These developments continue to influence the global landscape of robotic-enabled sensing. European researchers remain at the forefront of current trends and innovations as the field continues to evolve. This review article will delve into these recent advancements, highlighting Europe’s pivotal role in pushing the boundaries of technology and application. The implications and applications of robotic sensing reverberate across multiple sectors worldwide. From inspecting critical aerospace components to ensuring the quality of manufactured goods, these technologies underpin safety and quality standards.

Theory of constraints in healthcare: a systematic literature review

PurposeTheory of Constraints (TOC), though a well-established process improvement methodology in manufacturing, is still a novel philosophy for healthcare and an exhaustive review of literature is needed to summarize the key findings of various researchers. Such a review can provide a direction to the researchers and academicians interested in exploring the application of TOC in the healthcare sector. This paper aims to review the existing literature of TOC tools and techniques applied to the healthcare environment, and to investigate motivating factors, benefits and key gaps for identifying directions for future research in the domain of healthcare.Design/methodology/approachIn this paper, different electronic repositories were searched using multiple keywords. The current study identified 36 articles published between January 1999 to mid-2021 to conceptualize and summarize the research questions used in the study. Descriptive analysis along with pictorial representations have been used for better visualization of work.FindingsThis paper presents a thorough literature review of TOC in healthcare and identifies the evolution, current trends, tools used, nature of services chosen for application and research gaps and recommends future direction for research. A variety of motivating factors and benefits of TOC in healthcare are identified. Another key finding of this study is that almost all implementations listed in literature reported positive outcomes and substantial improvements in the performance of the healthcare unit chosen for study.Practical implicationsThis paper provides valuable insight to researchers, practitioners and policymakers on the potential of TOC to improve quality of services, flow of patients, revenues, process efficiency and cost reduction in different health care settings. A number of findings and suggestions compiled in the paper from literature study can be used for diagnosing, learning and making substantial changes in healthcare. The methodologies used by different researchers were analysed and combined to propose a generic step by step procedure to apply TOC. This methodology will guide the practising managers about the appropriate tools of TOC for their specific need.Social implicationsGood health is always the first desire of all men and women around the globe. The global aim of healthcare is to quickly cure more patients and ensure healthier population both today and in future. This article will work as a foundation for future applications of TOC in healthcare and guide upcoming applications in the booming healthcare sector. The paper will help the healthcare managers in serving a greater number of patients with limited available resources.Originality/valueThis paper provides original collaborative work compiled by the authors. Since no comprehensive systematic review of TOC in healthcare has been reported earlier, this study would be a valuable asset for researchers in this field. A model has been presented that links various benefits with one another and clarifies the need to focus on process improvement which naturally results in these benefits. Similarly, a model has been presented to guide the users in implementation of TOC in healthcare.

Unveiling the potential of starch-blended biodegradable polymers for substantializing the eco-friendly innovations

The extensive industrialization of polyethylene during the 1950s resulted in the mass production of petrochemical-derived plastics that remain widely used today. However, the harmful environmental impact of these non-biodegradable plastics has become increasingly evident. The non-degradability of conventional plastics has led to the filling of landfill sites, raising water and land pollution, and rapid depletion of fossil resources. As a result, there is an urgent need to develop sustainable alternatives that can reduce the environmental impact of plastic waste. One promising solution is the production of starch-blended biodegradable polymers. These polymers are produced from renewable resources such as corn and have the potential to be biodegradable or compostable. The compatibility between starch and other biopolymers, like polybutylene succinate (PBS), polylactic acid (PLA), and polyhydroxyalkanoates (PHAs) is being researched in several areas of food processing. The environmental impact and sustainability aspects of starch-blended biodegradable polymers are addressed, emphasizing their renewable nature, reduced carbon footprint, and potential to mitigate plastic waste. They offer a sustainable and eco-friendly alternative that can significantly reduce plastic waste and minimize the reliance on fossil resources. Studying starch-blended biodegradable polymers as a sustainable alternative to conventional plastics is crucial in addressing the detrimental environmental effects of non-degradable plastics. The review discusses the influences of starch content, compatibilizers, and plasticizers on the mechanical, thermal, and barrier characteristics of the blends also provides valuable insights into the current research trends and applications of starch-blended biodegradable polymers, highlighting their potential to contribute to sustainability and environmentally friendly polymer materials in various industries.

Rehabilitation of Patients with Post-Stroke Dysarthria in the Russia and Abroad: a Literature Review

INTRODUCTION. Post-stroke speech disorders are one of the important reasons for the decline in the functioning of patients. According to statistics, the incidence of dysarthria among patients after stroke varies from 24 to 64 %.
 AIM. To evaluate existing methods of rehabilitation of post-stroke dysarthria, attempt to create a classification of methods, assess the possibility of use in modern conditions and the effectiveness of these methods.
 MATERIALS AND METHODS. A literature review was conducted using the eLibrary, PubMed, and Google Scholar databases over the past 5 years (2019–2023). Key words used for the search: “stroke” (stroke in foreign databases), “rehabilitation”, “dysarthria”. The criteria for inclusion of articles in the review were as follows: year of publication of the scientific work from 2019 to 2023, full-text articles, works that include the author’s methodology or its modification, meta-analyses, descriptions of clinical cases. Exclusion criteria: descriptive articles, works based on statistics of post-stroke dysarthria, works describing the organization of speech therapy support without specifying methods, coincidence of identical works in different databases.
 RESULTS. The literature review included 16 full-text articles, based on the results of which it can be said that speech rehabilitation, repeating trends in motor rehabilitation, is moving in the direction of increasing the use of various equipment, and there has been an increase in the use of invasive techniques.
 CONCLUSION. This review highlights the current trends in speech rehabilitation in adults.

A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

Abstract This study offers a comprehensive bibliometric analysis of artificial intelligence (AI) applications in the field of second language (L2) teaching and applied linguistics, spanning from the early developments in 1995 to 2022. It aims to uncover current trends, prominent themes, and influential authors, documents, and sources. A total of 185 relevant articles published in Social Sciences Citation Index (SSCI) indexed journals were analyzed using the VOSviewer bibliometric software tool. Our investigation reveals a highly multidisciplinary and interconnected field, with four main clusters identified: AI, natural language processing (NLP), robot-assisted language learning, and chatbots. Notable themes include the increasing use of intelligent tutoring systems, the importance of syntactic complexity and vocabulary in L2 learning, and the exploration of robots and gamification in language education. The study also highlights the potential of NLP and AI technologies to enhance personalized feedback and instruction for language learners. The findings emphasize the growing interest in AI applications in L2 teaching and applied linguistics, as well as the need for continued research to advance the field and improve language instruction and assessment. By providing a quantitative and rigorous overview of the literature, this study contributes valuable insights into the current state of research in AI-assisted L2 teaching and applied linguistics and identifies key areas for future exploration and development.

Doing wellbeing policy: A discussion on public policy making for integrative prosperity

AbstractFocusing on holistic wellbeing rather than solely economic prosperity is becoming ever more popular among policy makers, both in Australia and New Zealand, and elsewhere. And yet, turning a complex set of system‐level indicators of wellbeing into actionable policy requires us to rethink how we develop, implement, and evaluate policy. In this article, I review the current trends in wellbeing, including developments in the measurement and tracking of wellbeing, and offer practical steps for integrating actionable wellbeing outcomes into future policymaking processes.Points for practitioners Focusing on wellbeing as part of the policy making process is becoming more popular among governments, including in Australia and New Zealand. The New Zealand Government has been doing wellbeing budgets since 2019 while the Australian Government released a new wellbeing framework in 2023. Wellbeing policy represents an approach to policy making that aims to maximize the general health and happiness of a target population on both subjective and objective measures of wellbeing. This includes both economic and non‐economic measures of prosperity and wellbeing. There are many ways of tracking the wellbeing effect of policy and so choosing the right framework is important for effective wellbeing policy making. This starts with a wellbeing purpose for the policy and a clear and concise definition of wellbeing. Doing wellbeing policy requires a good understanding of what wellbeing represents and how it is measured. You need relevant and measurable indicators of wellbeing, an evaluation strategy, and the ability to reflect and innovate as part of an iterative policy making process.

ПРІОРИТЕТНІ ВЕКТОРИ РОЗВИТКУ РОЗДРІБНОЇ ЕЛЕКТРОННОЇ ТОРГІВЛІ ПІД ВПЛИВОМ ГЛОБАЛЬНИХ ПРОЦЕСІВ ДІДЖИТАЛІЗАЦІЇ

The article assesses the development of retail e-commerce under the influence of global digitalization processes. The authors prove that current trends in the global economy reflect key aspects of the development of the digital economy and, accordingly, retail e-commerce. Under their influence, significant changes are taking place in the living conditions of society, market conditions and in the scientific sphere, and there is an increasing demand for highly qualified workers. The paper emphasizes that under the influence of profound and extensive changes brought about by digital technologies, conceptual models of business development and social communication are transforming, and the role of the state in the new digitalized environment is being reconsidered. These transformations require participants to be highly adaptable, develop new skills and competencies, and be ready to take advantage of digital transformation. The paper emphasizes that there are potential risks of negative impact of digital transformation, which are manifested primarily in the need to adapt to new conditions, such as the inevitability of displacement of outdated professions by new technologies or artificial intelligence systems, the disappearance of traditional markets, as well as the threats of personal data leakage and the need to protect copyrights and other aspects. The authors prove that e-commerce encompasses more than just online advertising or launching a virtual retail store. Successful enterprises in this area are based on reliable technologies of interaction with consumers, which arise from the experience gained in the early stages, sound business schemes and a carefully developed infrastructure for servicing business processes. The main advantage of using digital technologies in the field of online retail is the ability to predict demand and thoroughly study consumer needs. Keywords: online retail, e-commerce, online trading, e-commerce, digital economy, strategic priorities, digital business environment.

Trends of HbA1c and BMI in People with Type 2 Diabetes: A Japanese Claims-Based Study.

Obesity prevalence has increased in Japan in recent years. Given the strong association of obesity with poor glycemic control, and increased risk of type 2 diabetes (T2D) with central obesity, this study describes the current trends and relationships between glycated hemoglobin (HbA1c), body mass index (BMI), and waist circumference in the Japanese people with T2D. This was a retrospective, cross-sectional study of people with T2D who had at least one recorded HbA1c and BMI (or waist circumference) value in the Japan Medical Data Center Claims database. Five annual cohorts of the study population were formed between January 2017 and December 2021. Annual trends of HbA1c across BMI categories (obesity class I [≥ 25 ~ < 30kg/m2]-IV [≥ 40kg/m2]) and in people with central obesity (waist circumference: ≥ 85cm in men; ≥ 90cm in women) were described by sex and age groups. Overall, 106,089 people with T2D (HbA1c and BMI data: 106,079; HbA1c and waist circumference data: 105,424) were included, with the majority of people belonging to obesity class I (range: 39.7-40.6%) and obesity class II (range: 16.2-17.7%) categories across all annual cohorts. People in higher BMI categories had higher mean HbA1c, with > 50% of people with T2D in obesity class I-IV (54.8-56.5%) having HbA1c ≥ 7%. Between 2017 and 2021, BMI and waist circumference increased in the age group 18-44years. More than 50% of people with T2D and central obesity in both sexes and people of age group 18-44years across obesity class I-IV or with central obesity had HbA1c ≥ 7%. More than half of the people with T2D belonging to obesity class I-IV or central obesity had poor glycemic control (HbA1c ≥ 7%), especially in the 18-44 age group. This highlights the need for body weight management for better glycemic control in relatively young Japanese people with T2D and obesity.

Current On-Skin Flexible Sensors, Materials, Manufacturing Approaches, and Study Trends for Health Monitoring: A Review.

Due to an ever-increasing amount of the population focusing more on their personal health, thanks to rising living standards, there is a pressing need to improve personal healthcare devices. These devices presently require laborious, time-consuming, and convoluted procedures that heavily rely on cumbersome equipment, causing discomfort and pain for the patients during invasive methods such as sample-gathering, blood sampling, and other traditional benchtop techniques. The solution lies in the development of new flexible sensors with temperature, humidity, strain, pressure, and sweat detection and monitoring capabilities, mimicking some of the sensory capabilities of the skin. In this review, a comprehensive presentation of the themes regarding flexible sensors, chosen materials, manufacturing processes, and trends was made. It was concluded that carbon-based composite materials, along with graphene and its derivates, have garnered significant interest due to their electromechanical stability, extraordinary electrical conductivity, high specific surface area, variety, and relatively low cost.

Intellectual Structure of Global Value Chain Research: Visualization and Bibliometric Analysis Based on VOSviewer

Over the past few decades, numerous scholars have conducted research on global value chains, and the amount of literature in this field has grown rapidly to become “big data.” In order to deeply analyze and explore the current research status and development trends in the field of global value chains, this article conducted a systematic and quantitative study on the global value chain. Based on the Web of Science Core Collection SCIE and SSCI databases, this article searched 8273 articles published between 2001 and 2021 with the theme of “Global Value Chain” and used visualization and bibliometric analysis methods. The research field was analyzed using VOSviewer software. Research has shown that the number of papers published in the global value chain field has been continuously increasing over time and has entered a period of rapid development since 2016. The main disciplines are economics and management. A few researchers and research institutions have a strong influence, but the cooperation between scholars and institutions is relatively weak. The United States, the United Kingdom, and China dominate the research field. The complex impact of the natural environment and public health on the global value chain, and the impact of big data and artificial intelligence on the global value chain, has become a new direction for future research. Countries should actively promote the development of the digital economy and green economy, promote the effective allocation of global value chain resources by enterprises, and adhere to the development of good bilateral political relations to reduce the uncertainty of enterprise participation in the global value chain caused by political risks.

Deep neural networks for crack detection inside structures

Crack detection is a long-standing topic in structural health monitoring. Conventional damage detection techniques rely on intensive, time-consuming, resource-intensive intervention. The current trend of crack detection emphasizes using deep neural networks to build an automated pipeline from measured signals to damaged areas. This work focuses on the seismic-wave-based technique of crack detection for plate structures. Previous work proposed an encoder–decoder network to extract crack-related wave patterns from measured wave signals and predict crack existence on the plate. We extend previous work with extensive experiments on different network components and a data preprocessing strategy. The proposed methods are tested on an expanded crack detection dataset. We found that a robust backbone network, such as Densely Connected Convolutional Network (DenseNet) can effectively extract the features characterizing cracks of wave signals, and by using the reference wave field for normalization, the accuracy of detecting small cracks can be further improved.

Literature Review on High-functioning Autistic Employees

This literature review aims to contribute to the field of autism and employment. It will analyse bibliographic data on peer-reviewed research on the benefits and challenges of a neurodiverse workforce. Similarly, it will examine the experiences of high-functioning autistic people in the workplace. Despite reports in popular media on the benefits of a neurodiverse workplace, including better innovation and company performance – there is very little academic research to support these claims. Of the limited existing literature, there are very few articles in business and management journals. This review gathers empirical evidence to test such claims. The research is based on high-functioning autistic people (verbal, with average or above IQ). Autism will be referred to as Autism Spectrum Disorder (ASD) from here on, which includes Asperger syndrome under the criteria of the DSM-5. Data from peer-reviewed research articles on high-functioning autism, employment and adults in the Social Sciences Citation Index were analysed to gauge the current trends in publication and citation. This database was chosen to limit the medical literature, which is extensive and an entirely different field. The data indicates that research on the experiences autistic employees, and their employers, up to recent years has been an understudied field. Based on the analysis used for this study, research and interest in this field began to emerge in publications in 2005. This review identified high-functioning autism as an increasingly important factor to consider in designing hiring and recruitment processes. It is also a significant consideration in conflict-resolution, communication and the training and support areas of management. Considering the steep increase in autism diagnoses over the past 30 years, coupled with the supports made available to autistic people up to third-level education; a more neurodivergent, educated talent pool is emerging which will change the way managers approach and manage diversity in the workplace.

BIM technology application in construction industry of Vietnam

In Vietnam, the concept of building information modeling (BIM) has become quite popular in the construction industry. The BIM application optimizes the information exchange and coordination between participants in various project, helps to visualize design, construction and project management processes, ensures the project quality and various benefits at a later stage of the project management and operation.Purpose: A review of the current situation and trends of BIM application in construction investment projects as well as inevitable digital transformation in the construction sector of Vietnam.Methodology: Statistical and comparative-historical methods, survey data obtained through a questionnaire in the form of statistical analysis using charts describing the BIM application in the construction industry in Vietnam.Research findings: It is shown that BIM is mostly used by enterprises that directly benefit from modern technologies. The BIM reflects the diversity of research subjects, as is can be applied at different stages by many project stakeholders. It is found that many surveys are distributed rather evenly, confirming that all key project participants are interested in using BIM.Originality: This study supplements information on the current status and trends of the BIM application in construction investment projects in different countries, including Vietnam. Thus, the BIM is increasingly being used in the construction industry, but there is still a lack in qualified personnel who can use this technology.

A Combination of β-Aescin and Newly Synthesized Alkylamidobetaines as Modern Components Eradicating the Biofilms of Multidrug-Resistant Clinical Strains of Candida glabrata.

The current trend in microbiological research aimed at limiting the development of biofilms of multidrug-resistant microorganisms is increasingly towards the search for possible synergistic effects between various compounds. This work presents a combination of a naturally occurring compound, β-aescin, newly synthesized alkylamidobetaines (AABs) with a general structure-CnTMDAB, and antifungal drugs. The research we conducted consists of several stages. The first stage concerns determining biological activity (antifungal) against selected multidrug-resistant strains of Candida glabrata (C. glabrata) with the highest ability to form biofilms. The second stage of this study determined the activity of β-aescin combinations with antifungal compounds and alkylamidobetaines. In the next stage of this study, the ability to eradicate a biofilm on the polystyrene surface of the combination of β-aescin with alkylamidobetaines was examined. It has been shown that the combination of β-aescin and alkylamidobetaine can firmly remove biofilms and reduce their viability. The last stage of this research was to determine the safety regarding the cytotoxicity of both β-aescin and alkylamidobetaines. Previous studies on the fibroblast cell line have shown that C9 alkylamidobetaine can be safely used as a component of anti-biofilm compounds. This research increases the level of knowledge about the practical possibilities of using anti-biofilm compounds in combined therapies against C. glabrata.

Historical context, process, and development trends of pediatric thyroid cancer research: a bibliometric analysis.

At present, the structure of knowledge in the field of childhood thyroid cancer is not clear enough, and scholars lack a sufficient understanding of the developing trends in this field, which has led to a shortage of forward-looking outputs. The purpose of this research is to help scholars construct a complete knowledge framework and identify current challenges, opportunities, and development trends. We searched the literature in the Web of Science Core Collection database on August 7, 2023 and extracted key information from the top 100 most cited articles, such as the countries, institutions, authors, themes, and keywords. We used bibliometric tools such as bibliometrix, VOSviewer, and CiteSpace for a visualization analysis and Excel for statistical descriptions. The top 100 most cited articles fluctuated over time, and the research was concentrated in European countries, the United States, and Japan, among which scientific research institutions and scholars from the United States made outstanding contributions. Keyword analysis revealed that research has shifted from simple treatment methods for pediatric thyroid cancer (total thyroidectomy) and inducing factors (the Chernobyl power station accident) to the clinical applications of genetic mutations (such as the BRAF and RET genes) and larger-scale genetic changes (mutation studies of the DICER1 gene). The thematic strategy analysis showed an increasing trend towards the popularity of fusion oncogenes, while the popularity of research on traditional treatments and diagnostics has gradually declined. Extensive research has been conducted on the basic problems of pediatric thyroid cancer, and there has been significant outputs in the follow-up and cohort analysis of conventional diagnostic and treatment methods. However, these methods still have certain limitations. Therefore, scholars should focus on exploring fusion genes, the clinical applications of molecular targets, and novel treatment methods. This study provides a strong reference for scholars in this field.

Visualizing the bibliometrics of the inflammatory mechanisms in intervertebral disc degeneration

ObjectiveIntervertebral disc degeneration (IVDD) constitutes a crucial pathological foundation for spinal degenerative diseases (SDD) and stands as a primary contributor to both low back pain (LBP) and disability. The progression of IVDD is linked to structural and functional alterations in tissues, where an imbalance in the inflammatory microenvironment can induce extracellular matrix (ECM) degradation, senescence, and apoptosis. This imbalance is a key pathomechanism in the disease's development, gaining considerable attention in recent years. This study aims to conduct a bibliometric analysis of publications pertaining to the inflammatory mechanisms of IVDD to quantitatively assess current research hotspots and directions. MethodsIn this study, we queried the Web of Science Core Collection (WOSCC) database covering the period from January 1, 2001, to November 7, 2023. Content in this area was analyzed and visualized using software such as Citespace, Vosviewer, and the bibliometrix package. ResultsFindings indicate a consistent annual increase in the number of publications, highlighting the widespread attention garnered by research on the inflammatory mechanisms of IVDD. In terms of journal research, Spine emerged with the highest number of publications, along with significantly elevated total citations and average citations compared to other journals. Regarding country analysis, China led in the number of publications, while the USA claimed the highest number of citations and total link strength. Institutional analysis revealed Sun Yat-sen University as having the highest number of publications and total link strength, with Thomas Jefferson University securing the highest total citations. Author analysis identified Ohtori, S. with the highest number of publications, Risbud, M.V. with the highest number of citations, and Inoue, G. with the highest total link strength, all of whom have made significant contributions to the field's development. Citation and co-citation analyses indicated that highly cited documents primarily focused on classical studies exploring inflammatory mechanisms in IVDD pathogenesis. Keyword analysis showcased the ongoing research hotspot as the further investigation of mechanisms and treatment studies. Recent years have seen a shift towards exploring pyroptosis, necrotic apoptosis, autophagy, ferroptosis, oxidative stress, and bacterial infection, among other mechanisms. In terms of treatment, alongside traditional monomer, drug, and compound therapies for IVDD, research is increasingly concentrating on stem cell therapy, exosomes, hydrogels, and scaffolds. ConclusionThis bibliometric analysis of research on inflammatory mechanisms in IVDD provides insights into the current status, hotspots, and potential future trends. These findings can serve as a valuable reference and guide for researchers in the field.

СЕЛЬСКОХОЗЯЙСТВЕННОЕ СТРАХОВАНИЕ: АНАЛИЗ СОВРЕ-МЕННОГО СОСТОЯНИЯ В РОССИИ И ПЕРСПЕКТИВЫ ЕГО РАЗ-ВИТИЯ

The article highlights the current trends, features of development of agricultural insurance in the Russian Federation. Undoubtedly, the interest in agricultural in-surance is determined by the desire to minimise risks, which are quite numerous in the field of agricultural production, which is especially characteristic of crop production, why this sector occupies the main share in agricultural insurance. The need to address the topic of trends, status and prospects of agricultural in-surance development is associated with the focus on ensuring food security and the special attention of the state to this issue after the adoption in 2022 of a spe-cial insurance programme for agricultural producers, primarily from the conse-quences of emergencies. The article gives a brief characteristic of the existing con-ditions of development of agricultural insurance in the Russian Federation, pro-vides an assessment of the volume of services, comments on the existing situation within the framework of the issue under consideration.

Introductory Overview of Layer Formation Techniques of Ag Nanowires on Flexible Polymeric Substrates

Ag nanowire electrodes are promising substitutes for traditional indium tin oxide (ITO) electrodes in optoelectronic applications owing to their impressive conductivity, flexibility, and transparency. This review provides an overview of recent trends in Ag nanowire electrode layer formation, including key developments, challenges, and future prospects. It addresses several challenges in integrating Ag nanowires into practical applications, such as scalability, cost-effectiveness, substrate compatibility, and environmental considerations. Additionally, drawing from current trends and emerging technologies, this review explores potential avenues for improving Ag nanowire layer-forming technologies, such as material advancements, manufacturing scalability, and adaptability to evolving electronic device architectures. This review serves as a resource for researchers, engineers, and stakeholders in nanotechnology and optoelectronics, and underscores the relationship between advancements in patterning and the application of Ag nanowire electrodes. Through an examination of key developments, challenges, and future prospects, this review contributes to the collective knowledge base and encourages continued innovation in the ever-evolving realm of Ag nanowire-based optoelectronics.

A bibliometric analysis and systematic literature review of industry 4.0 implementation in supply chain

Purpose This study aims to provide a bibliometric analysis and systematic literature review of Industry 4.0 (I4.0) research in the supply chain (SC) area and to understand related contemporary research trends. I4.0 has the potential to change the way goods are manufactured, distributed and made available to customers through the digitalisation of SC. Although I4.0 originated in 2011 in Germany, its application in managing the SC has only recently started gaining momentum. Therefore, it is essential to understand the research progress and identify the current trends of I4.0 application in the SC field. Design/methodology/approach A bibliometric analysis was conducted to empirically analyse the literature related to I4.0 implementation in the SC. This study retrieved papers from the Scopus database, reviewing 1,155 articles from the period 2016 to 2023 (November) for bibliometric analysis. Bibliometrix, using R software, was used for the bibliometric analysis, and VOSviewer was used for network analysis. Findings The findings provide an overview of the most relevant journals, most productive scholars, top academic institutions and top countries contributing to I4.0 research in the SC context. The results show that the most recent research contributions are related to the topics of SC performance, sustainability, digitalisation and digital transformation. Furthermore, a detailed review of articles published in the three and above-rated journals in the Chartered Association of Business Schools list is presented. Originality/value The novelty of this study lies in identifying the current research trends and themes of I4.0 research in the SC area. This research benefits researchers by identifying potential research areas for I4.0 implementation in the SC and providing directions for future research.