Past Trends Research Articles

Sports and Nutrition: A Scientometric Review

Sports nutrition, a dynamic field, benefits competitive athletes. This study examines its evolution through Scopus and Web of Science trends. The authors employed ScientoPy software to analyse various publications, prominent sports (and) nutrition research areas, (pro)active authors in the field, keywords, popular sources, and institutional information. This study exploited the data reconciliation, cluster mapping, webmetric, and scientometric methodologies to analyse 1527 individual entries from the Scopus and Web of Science databases. These databases revealed that the most popular subject matters in the field were "sports nutrition" and "sport Science," with "sports nutrition" having the most 'keynoted' word in most nutrition and dietetics journals since 2019. "Muscle" is the second most popular subject matter in sports and nutrition, demonstrating its reputation in this study area, also experiencing a meteoric rise in popularity since 2019. Our findings showed the top five most popular keywords that gained traction (on a marginal analysis base) were "Sports nutrition," "Exercise," "Sports performance," "Nutrition," and "Dietary supplements." The study's contribution to sports and nutrition is that it grants readers and future researchers a spectrum of past and current sports nutrition trends. Also, the analysis from the study will help future researchers forecast potential industry trends.

Modeling future projections of land use and land cover in the Kakataibo territory

Abstract. The Amazon region is undergoing a dynamic and extensive transformation from forested areas to human-altered landscapes, significantly impacting forests and indigenous territories. This research aims to create future land use and land cover (LULC) scenarios by examining past trends (2014–2022) and predicting future patterns for 2030, focusing on the Kakataibo territory in central Peru. Using the Dinamica EGO modelling platform, we projected LULC changes based on historical data and various predictive factors. Our findings reveal notable forest loss between 2014 and 2022, with this trend likely continuing through 2030. Within indigenous territories, deforestation was less severe, with a reduction of 30,247.4 hectares compared to the more significant loss in non-indigenous areas. This underscores the vital role these territories play in mitigating forest loss. However, the rapid expansion of agriculture and infrastructure within these regions signals an urgent need for stronger legal protections to halt further deforestation. This study highlights the critical importance of indigenous territories in forest conservation and offers valuable insights for future land management and conservation strategies in the Amazon.

Scrutinizing the Statistical Distribution of a Composite Index of Soil Degradation as a Measure of Early Desertification Risk in Advanced Economies

Using descriptive and inferential techniques together with simplified metrics derived from the ecological discipline, we offer a long-term investigation of the Environmental Sensitive Area Index (ESAI) as a proxy of land degradation vulnerability in Italy. This assessment was specifically carried out on a decadal scale from 1960 to 2020 at the province (NUTS-3 sensu Eurostat) level and benefited from a short-term forecast for 2030, based on four simplified assumptions grounded on a purely deterministic (‘what … if’) approach. The spatial distribution of the ESAI was investigated at each observation year (1960, 1970, 1980, 1990, 2000, 2010, 2020, 2030) calculating descriptive statistics (central tendency, variability, and distribution shape), deviation from normality, and the increase (or decrease) in diversification in the index scores. Based on nearly 300 thousand observations all over Italy, provinces were considered representative spatial units because they include a relatively broad number of ESAI measures. Assuming a large sample size as a pre-requisite for the stable distribution of the most relevant moments of any statistical distribution—because of the convergence law underlying the central limit theorem—we found that the ESAI scores have increased significantly over time in both central values (i.e., means or medians) and variability across the central tendency (i.e., coefficient of variation). Additionally, ecological metrics reflecting diversification trends in the vulnerability scores delineated a latent shift toward a less diversified (statistical) distribution with a concentration of the observed values toward the highest ESAI scores—possibly reflecting a net increase in the level of soil degradation, at least in some areas. Multiple exploratory techniques (namely, a Principal Component Analysis and a two-way hierarchical clustering) were run on the two-way (data) matrix including distributional metrics (by columns) and temporal observations (by rows). The empirical findings of these techniques delineate the consolidation of worse predisposing conditions to soil degradation in recent times, as reflected in a sudden increase in the ESAI scores—both average and maximum values. These trends underline latent environmental dynamics leading to an early desertification risk, thus representing a valid predictive tool both in the present conditions and in future scenarios. A comprehensive scrutiny of past, present, and future trends in the ESAI scores using mixed (parametric and non-parametric) statistical tools proved to be an original contribution to the study of soil degradation in advanced economies.

Futuring Your Strategy: An Unconventional Approach to Strategic Planning

This article proposes an alternative, future-focused approach to strategic planning inspired by practices in futures studies and strategic foresight. Traditional strategic planning tends to rely on analyzing past trends and current conditions, limiting creativity and adaptive capacity. In contrast, a futurist approach frames strategy around exploring preferable futures and identifying discontinuities, uncertainties, and low-probability events that could significantly impact the organization. Key concepts from futures research like scenario planning, environmental monitoring, expert interviews and wild card tracking are presented as ways to conduct more expansive and long-term environmental scanning. The stages of developing strategic options, plans, and ongoing adjustments are also discussed through a futurist lens. Examples from Bell Canada and Meyer Turku demonstrate how these concepts have been successfully applied in practice. By cultivating foresight skills and habits of continual exploration, adaptation and stakeholder collaboration, organizations can develop strategic plans more resilient to an unpredictable future.

Mathematical modeling of Ethiopia's energy demand by sectors and energy types, with forecasts for the next 30 years

Due to the scarcity of economic resources, it is vital to optimize everything so that the supply and demand lines intersect in an optimized quantity, with no shortage or surplus of a provided item or service. Energy supply contains both surplus and shortage, thus estimating the amount of projected energy demand is a key work that must be completed. The objective of this paper is generating a mathematical model based on the actual data for thirty years forecasting. To create a mathematical model using actual data from the last fifteen years, a model that can represent the past trend and be used for future forecasting. This study provides a general overview of Ethiopia's current energy requirement with different energy type as well as sector-specific energy demand and estimates for different economic growth scenarios up to 2052. This model was created using a linear regression polynomial fit through Origin graphic and analysis software, and an econometric model was also applied. GDP was utilized as an independent variable in the economic model to determine the trend of energy consumption. Another input-output model is also used for multilinear regression to evaluate the change of four variables, GDP, population growth, urbanization growth rate, and general inflation rate, which was quantitatively linked with total energy requirement using Weka software. The mathematical model developed through linear and multilinear regression has been validated by using a different assumption on GDP growth based on past growth rate as low, medium and high growth rate and using the mathematical formula to generate an energy demand trend that can be compared with the actual trend; as a result, all the mathematical model that are generated has been found to be valid for the purpose of the intended work. Based on the generated mathematical model and different GDP growth rate scenario as low, medium, business as usual (BAU) and high a future energy demand was forecasted up to 2052 for thirty years. The model's results can help energy planners ensure that the country's supply capacity keeps up with predicted energy demand growth.

Scoping the Field: Recent Advances in Optical Remote Sensing for Precision Viticulture

The use of passive optical remote sensing (RS) has a rich history in precision viticulture (PV), with the use of RS technologies being employed in a myriad of PV applications. The present work undertakes a scoping review to examine past and current trends in the use of RS in grapevine production. It aims to identify literature gaps and new research opportunities. The Scopus database facilitated the search for relevant articles published between 2014 and 2023 using a search string of keywords. A total of 640 articles were produced by the Scopus search. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting framework, the 640 articles were reviewed based on predefined inclusion and exclusion criteria, resulting in 388 articles being deemed eligible for further data extraction. Four research questions were defined to guide the data extraction process, and a coding scheme was implemented to address these questions. The scoping review found Italy and the United States to be leading contributors to the research field, with vineyard mapping, yield estimation, and grapevine water status being the most extensively studied RS–PV applications. However, the use of RS to map vineyard soil properties and grapevine cultivars remains underexplored, presenting promising avenues for future research.

2000~2023년 국내 음악치료 연구의 트렌드 분석: 키워드 의미 네트워크 접근

Objectives The purpose of this study is to select literature related to music therapy in South Korea published in KCI academic journals from 2000 to 2023, in order to examine trends in domestic music therapy research and to suggest future directions for music therapy research. Methods From August 2022 to January 2024, a total of 542 research articles were selected from major domestic academic journal sites. Among 705 types of refined 1,799 keywords identified, 100 keywords that appeared six or more times were extracted. Synonyms were represented with a consistent expression, and compound words were separated and standardized. The refined keywords were validated for appropriateness by three experts. The UCINET 6.0 program visualized the keyowrds with NetDraw. Results The overall keyword network, consisting of 100 nodes connected by 1,422 links, had a density of .144. The keywords ‘instrument playing,’ ‘sociality,’ ‘depression,’ and ‘anxiety’ showed high centrality in terms of degree, closeness, and betweenness, confirming them as the core keywords in domestic music therapy research. Conclusions By identifying the core keywords in domestic music therapy research, this study sheds light on past research trends and discusses the considerations for applying current research in clinical practice, as well as the direction and factors to consider for future research. This is the significance of this study.

The Development of Golf in the USA: Past Trends and Impact Factors

In the USA (a developed market), recent research highlights golf’s significant role in enhancing mental well-being, especially for those who are aged 35-49, as the games provide them with a way to escape from everyday stress [1]. During the pandemic, golf courses became even more essential, with surveys showing that nearly every 97% of U.S. golf facilities organised at least one entertainment program or initiative in 2022, which improves the quality of life within their communities.

Visualizing the landscape of urolithiasis research from 1979-2023: a global bibliometric analysis of randomized clinical trials.

Urolithiasis is the most prevalent benign urological condition, imposing a significant burden on morbidity, disability, and healthcare costs globally. Despite its impact, comprehensive bibliometric analyses of randomized clinical trials (RCTs) related to urolithiasis, which are essential for advancing evidence-based medical practices, are lacking. This study aimed to examine the global research landscape and trends in RCTs focused on urolithiasis. This study used bibliometric techniques to analyze a selection of RCTs on urolithiasis published between 1979 and 2023. VOSviewer software version 1.6.20 was used to visualize international collaborations and perform a keyword analysis of the included articles. The main objective was to identify key research areas and focal points within the field of urolithiasis RCTs. Between 1979 and 2023, a comprehensive search identified 16,716 research articles on urolithiasis. A total of 693 relevant RCTs were found in the Scopus database. The number of publications has significantly increased over time, indicating a strong positive correlation (R² = 0.9303; P < 0.001). China was the top contributor, with 166 publications (23.95%), followed by the United States, with 130 publications (18.76%). Turkey and Iran contributed 44 (6.35%) and 62 (8.95%) publications, respectively. Citation analysis revealed an average of 28.13 citations per article, an h-index of 70, and a total of 19,493 citations. The co-occurrence analysis highlighted current research trends and key topics in urolithiasis RCTs, including 'comparative effectiveness of surgical and laser techniques and patient outcomes', 'medical expulsive therapy (MET) for ureteral calculi and clinical outcomes', 'systematic reviews and meta-analyses of RCTs investigating urolithiasis', and 'dietary interventions and correlations between stone composition and the risk of recurrence.' The bibliometric analysis provides an overview of research on urolithiasis RCTs. It examines global research trends and identifies new developments in the field. Our review identified key research themes, including systematic reviews and meta-analyses, dietary interventions, medical therapy for the expulsion of ureteral stones, and comparisons of surgical techniques-areas that will remain focal points in future research. This bibliometric analysis is an invaluable resource for researchers, clinicians, and policymakers, providing a complete overview of past and present research trends. Informed decision making can be promoted and guided in future research, ultimately improving management and understanding.

Past trends and future projections of psychological distress among general population in Finland

Abstract Introduction The aim was to examine past and future trends of psychological distress in Finland from 2013 to 2040. Methods Six representative cross-sectional surveys from the years 2013, 2014, 2015, 2018, 2020, and 2022 (N = 172,547, aged 20+ y) were used. Multiple imputation was used in projecting psychological distress (MHI-5, with cut-off value ≤60). As the COVID-19 pandemic had a strong effect on psychological distress which persisted after the pandemic, projections were made with and without data from the years 2020 and 2022. Results The prevalence of psychological distress was slightly declining during the period 2013-2018 for both men and women, ending up around 18% for men and 19% for women. When including the years 2020 and 2022, however, trends showed a steep increase in the prevalence of psychological distress during 2018-2022. Among 20-39-year-olds, the prevalence of psychological distress increased 9.8%-points over the four-year period. Similarly, among 40-54-year-olds, an 8.2%-points increase was observed. In older age groups (55-64, 65-74 and 75 years and older) psychological distress first increased from 2018 to 2020 but then plateaued especially among the oldest. Projections based on the observed past trends during the period 2013-2018 showed a steady decline in psychological distress, the prevalence of psychological distress ending up around 11% for men and around 15% for women in 2040. When including the years 2020 and 2022, however, the projections suggested an increase in psychological distress in the general population and the prevalence of psychological distress is projected to end up around 37 % for both men and women in 2030. Conclusions The prevalence of psychological distress has increased substantially in the 2020s particularly in young adults. Mental health needs to be given a priority in all policies in order to change the future projections. Key messages • The upward trend of psychological distress did not reverse or plateau after COVID-19 pandemic in Finland. • Increased efforts to protect and promote mental health in all policies seem indicated especially among young adults.

Early Desertification Risk in Advanced Economies: Summarizing Past, Present and Future Trends in Italy

Being located in the middle of Southern Europe, and thus likely representing a particularly dynamic member of Mediterranean Europe, Italy has experienced a sudden increase in early desertification risk because of multiple factors of change. Long-term research initiatives have provided relatively well-known examples of the continuous assessment of the desertification risk carried out via multiple exercises from different academic and practitioner stakeholders, frequently using the Environmentally Sensitive Area Index (ESAI). This composite index based on a large number of elementary variables and individual indicators—spanning from the climate to soil quality and from vegetation cover to land-use intensity—facilitated the comprehensive, long-term monitoring of the early desertification risk at disaggregated spatial scales, being of some relevance for policy implementation. The present study summarizes the main evidence of environmental monitoring in Italy by analyzing a relatively long time series of ESAI scores using administrative boundaries for a better representation of the biophysical and socioeconomic trends of interest for early desertification monitoring. The descriptive analysis of the ESAI scores offers a refined representation of economic spaces in the country during past (1960–2010 on a decadal basis), present (2020), and future (2030, exploring four different scenarios, S1–S4) times. Taken as a proxy of the early desertification risk in advanced economies, the ESAI scores increased over time as a result of worse climate regimes (namely, drier and warmer conditions), landscape change, and rising human pressure that exacerbated related processes, such as soil erosion, salinization, compaction, sealing, water scarcity, wildfires, and overgrazing.

Mato Grosso’s rainy season: past, present, and future trends justify immediate action

Mato Grosso’s rainy season: past, present, and future trends justify immediate action

Adapting to change: insights from new organisms in cell and developmental biology.

We are living in an era of environmental change with undeniable parallels with past mass extinctions. To improve our understanding of planetary health and resilience, we must expand our research beyond traditional lab models. Forecasting the future of biological diversity relies on extrapolation of past trends, which necessitates the study of a wider range of biological systems. The 'Unconventional and Emerging Experimental Organisms for Cell and Developmental Biology' meeting, which took place in Dorking, UK, in September 2023, emphasized the importance of this broader approach. Discussions centered on evolutionary innovation, robustness and diversity, underscoring the need for broader taxon sampling and novel experimental models to address current and future challenges.

Identifying Re-identification Challenges: Past, Current and Future Trends

Person and vehicle re-identification has been a popular subject in the field of the computer vision technologies. Existing closed-set re-identification surpasses human-level accuracies on commonly used benchmarks, and the research focus for re-identification is shifting to the open world-setting. The latter setting is more suitable for practical applications, however, is less developed due to its challenges. On the other hand, existing research is more focused on person re-identification, even though both, person and vehicle, are important components for smart city applications. This review attempts to combine for the first time the problem of person and vehicle re-identification under closed and open settings, its challenges, and the existing research. Specifically, we start from the origin of the re-identification task and then summarize state-of-the-art research based on deep learning in different scenarios: person or vehicle or unified re-identification in closed- and open-world settings. Additionally, we analyse a new method for solving the re-identification task using the Transformer, a model architecture that relies entirely on an attention mechanism, which shows promising results. This survey facilitates future research by providing a summary on past and present trends, and aids to improve the usability of re-ID techniques.

Past Trends and Future Directions of Cardiac Regenerative Medicine - A Systematic Analysis of Clinical Trial Registries.

Cell therapy, gene therapy, and tissue engineering have been explored as potential strategies to repair or regenerate damaged cardiac tissue. Despite the presence of encouraging preclinical data, clinical trials of regenerative cardiac therapies have yielded mixed results. Our study aimed to investigate the fate of all registered clinical trials within regenerative cardiac medicine, with the purpose of exploring the potential role of publication bias (or trial-completion bias), how published and unpublished research affects the field, and to draw lessons and recommendations for future clinical trials. In this analysis, we show that only a third of all registered trials has yielded results and that a significant number of trials are not completed. Furthermore, we identified significant heterogeneity in study design, study phase, funding, specific therapies used, primary outcome measures and methods of outcome assessment. These observations might hinder the successful translation of cardiac regenerative therapies into clinical practice.

Artificial Intelligence Plays Crucial Role in Education Sector of Assam

“AI is a mirror, reflection not only our intellect, but our values and fears” Artificial intelligence (AI) is shaping the future of technology and revolutionizing our education system. Due to evolution of artificial intelligence, we have seen the drastic change in our educational sector throughout the globe. It indicates a positive signal for present and future generations of our country and also throughout the globe. Artificial Intelligence (AI) can play a crucial role in the school functioning process, streamlining and optimizing the procedure for both institutions and applicants. Through AI-driven algorithms, schools can efficiently sift through a large pool of applicants, identifying the most suitable candidates based on predefined criteria such as student’s enrollment according to their academic performance, extracurricular activities, and personal attributes. One of the most remarkable advantages of employing AI in the admission process is its ability to eliminate human bias, ensuring fairness and equal opportunities for all applicants. AI systems are programmed to assess candidates solely based on their qualifications and merit, reducing the influence of subjective factor, viz., race, gender, or socioeconomic background. We have seen the drastic changes in case of new admission in our School and College for last 3 to 4 years in the state of Assam and country as well. Moreover, AI facilitates personalized and efficient communication with applicants, providing them with updates on their application status and guiding them through the admission process. Virtual assistants powered by AI can promptly address queries from applicants, offering them the support they need. Furthermore, AI enables predictive analysis, allowing schools to forecast future trends in admission and tailor their strategies accordingly. By analyzing past admission data and trends, AI systems can provide valuable insights into the preferences and behaviors of prospective students, helping schools make informed decisions and develop targeted recruitment strategies. AI is revolutionizing the school admission process by making it more efficient, transparent, and fair. By leveraging AI technologies, schools can streamline their admission procedures, improve the candidate experience, and ultimately ensure that the most qualified and deserving students are admitted. In Assam, the education department of Government of Assam has introduced Shiksha Setu App to enhance communication between students, parents, teachers, and educational institutions. It facilitates access to various educational resources, attendance tracking of both teachers and students, exam schedules, leave for teachers, and performance reports. Its significance lies in improving transparency, efficiency, and accessibility in the whole education system of Assam, and as result contributing to better student outcomes and parental involvement.

Critical study of type-2 fuzzy logic control from theory to applications: A state-of-the-art comprehensive survey

The review systematically explores the theoretical foundations of type-2 fuzzy sets and the associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2-FLS), as well as a comprehensive overview of the state-of-the-art techniques and applications of type-2 fuzzy logic systems. The review's application-oriented section looks at a number of different areas where type-2 fuzzy logic has made a big difference. These areas include robotics, autonomous vehicle control, electric and electronic control, image processing, and railway control. This overview mainly discusses the past, present, and future trends in type-2 fuzzy logic applications. The primary contribution summarizes the most essential type-2 fuzzy logic research with theoretical and practical implications. This article will provide a critical path and a strong foundation for individuals interested in this field to pursue future research.

A Bibliometric Literature Review on Trends in the Internationalization of Higher Education

In recent years, the internationalization of higher education has become a critical theme, reflecting global interconnectedness and the increasing mobility of students and academics. This study aims to identify and analyze trends in internationalization research from 2015 to 2024. Utilizing a bibliometric analysis of 9,180 articles and 44,000 keywords from Web of Science and Scopus databases, the research synthesizes developments in nine key fields over the past decade. Methods include data cleaning, keyword determination, and the use of Excel for data processing and analysis. The results reveal significant progress in understanding the complexities of internationalization, such as student mobility, societal and cultural integration, educational methods, and quality assurance. The study highlights the accelerated role of digital technology due to the COVID-19 pandemic and emerging national security issues. Conclusions offer new theoretical and practical insights into the role of internationalization in higher education outcomes and predict future trends. The findings have significant implications for policy-making, institutional strategies, and future research directions. This research contributes to the literature by providing a comprehensive analysis of past trends and suggesting directions for future studies, emphasizing the need for coordinated efforts from educational institutions, governments, and international organizations. Emphasis is placed on inclusivity and sustainability, with a call for innovative strategies to address emerging challenges and leverage new opportunities in the field of higher education internationalization.

Prediction of Greenhouse Area Expansion in an Agricultural Hotspot Using Landsat Imagery, Machine Learning and the Markov–FLUS Model

Greenhouses (GHs) are important elements of agricultural production and help to ensure food security aligning with United Nations Sustainable Development Goals (SDGs). However, there are still environmental concerns due to excessive use of plastics. Therefore, it is important to understand the past and future trends on spatial distribution of GH areas, whereby use of remote sensing data provides rapid and valuable information. The present study aimed to determine GH area changes in an agricultural hotspot, Serik, Türkiye, using 2008 and 2022 Landsat imageries and machine learning, and to predict future patterns (2036 and 2050) via the Markov–FLUS model. Performances of random forest (RF), k-nearest neighborhood (KNN), and k-dimensional trees k-nearest neighborhood (KD-KNN) algorithms were compared for GH discrimination. Accordingly, the RF algorithm gave the highest accuracies of over 90%. GH areas were found to increase by 73% between 2008 and 2022. The majority of new areas were converted from agricultural lands. Markov-based predictions showed that GHs are likely to increase by 43% and 54% before 2036 and 2050, respectively, whereby reliable simulations were generated with the FLUS model. This study is believed to serve as a baseline for future research by providing the first attempt at the visualization of future GH conditions in the Turkish Mediterranean region.

Integrating Information Technology into Accounting Curriculum: A 43-year Review

Purpose – This study provides an analysis view of prior studies on the integration of ICT into accounting curriculum.Methodology – The method of document analysis is used to collect the data published from 1981 to 2023 in the fields of social science, specifically focused on the study of information technology and accounting curriculum.Scope of the study – This study revolves around the analysis of the past trends of publication years, the most influential countries, the most research-active institutions and the most highly cited articles in research studies exploring the integration of ICT into accounting curriculum. Findings –From 1981 to 2023, there has been a noticeable and significant increase in research focusing on integrating ICT into the accounting curriculum. This trend reflects the growing recognition of the pivotal role that technology plays in modern accounting education and practice. Practical Implications – The increasing research on integrating ICT into the accounting curriculum underscores the critical need for accounting programs to adopt advanced technologies, enhancing students' technical skills, job readiness, and alignment with industry standards, thereby maintaining educational institutions' relevance and competitive edge.Originality/ Value – This study lies in its comprehensive analysis of how technological advancements have been progressively adopted in accounting education. It uniquely documents the evolution of educational practices in response to ICT, providing a historical perspective that underscores the growing importance of digital competencies for accounting professionals. It also offers valuable insights for educators, policymakers, and researchers, guiding future curriculum development to ensure accounting education remains relevant and prepares students for modern workforce demands.