Trend Analysis Research Articles

Integrating socio-psychological factors in the SEIR model optimized by a genetic algorithm for COVID-19 trend analysis.

The global spread of COVID-19 has profoundly affected health and economies, highlighting the need for precise epidemic trend predictions for effective interventions. In this study, we used infectious disease models to simulate and predict the trajectory of COVID-19. An SEIR (susceptible, exposed, infected, removed) model was established using Wuhan data to reflect the pandemic. We then trained a genetic algorithm-based SEIR (GA-SEIR) model using data from a specific U.S. region and focused on individual susceptibility and infection dynamics. By integrating socio-psychological factors, we achieved a significant enhancement to the GA-SEIR model, leading to the development of an optimized version. This refined GA-SEIR model significantly improved our ability to simulate the spread and control of the epidemic and to effectively track trends. Remarkably, it successfully predicted the resurgence of COVID-19 in mainland China in April 2023, demonstrating its robustness and reliability. The refined GA-SEIR model provides crucial insights for public health authorities, enabling them to design and implement proactive strategies for outbreak containment and mitigation. Its substantial contributions to epidemic modelling and public health planning are invaluable, particularly in managing and controlling respiratory infectious diseases such as COVID-19.

Artificial Intelligence in Marketing

This thesis explores the application of artificial intelligence in marketing and the trends, challenges and opportunities of digital transformation. Firstly, it introduces the definition, development history and main technology and application areas of artificial intelligence. Then, it analyses the overview of the application of AI in the business field, including personalised recommendation, intelligent customer service and other aspects. Subsequently, how AI has changed marketing strategies and practices is explored and compared with traditional approaches. In terms of specific applications, the role and benefits of personalised recommendation systems, intelligent customer service systems, etc. are highlighted. In addition, the application of data-driven market trend analyses, intelligent predictive models, etc. in marketing is examined. Finally, the impact of AI and digital transformation on marketing is summarised, highlighting the need for companies to strengthen data security and management, and to grasp the opportunities of technological development to achieve sustainable development and competitive advantage.

The Impact of the COVID-19 Pandemic on Pattern of Antibiotic and Opioid Prescriptions by Dentists in Alberta, Canada.

After the shutdown of most dental services during the COVID-19 lockdown, the oral health community was concerned about an increase in prescribing opioids and antibiotics by dentists due to patients' limited access to dental offices. Therefore, the objective of this study was to investigate the impact of COVID-19 pandemic on the pattern of antibiotic and opioid prescriptions by dentists in Alberta, Canada. Data obtained from the Tracked Prescription Program were divided into antibiotics and opioids. Time periods were outlined as pre-, during-, and postlockdown (phase 1 and 2). For the number of prescriptions and average supply, each monthly average was compared to the corresponding prelockdown monthly average, using descriptive analysis. Time series analyses were conducted using regression analyses with an autoregressive error model. Data were trained and tested on monthly observations before lockdown and predicted for during- and postlockdown. A total of 1.1 million antibiotics and 400,000 opioids dispense were tracked. Decreases in the number of prescriptions during lockdown presented for antibiotics (n = 24,933 vs. 18,884) and opioids (n = 8892 vs. 6051). Average supplies (days) for the antibiotics (n = 7.10 vs. 7.55) and opioids (n = 3.92 vs. 4.05) were higher during the lockdown period. In the trend analyses, the monthly number of antibiotic and opioid prescriptions showed the same pattern and decreased during lockdown. The COVID-19 pandemic altered the trends of prescribing antibiotics and opioids by dentists. The full impact of COVID-19 pandemic on the population's oral health in light of changes in prescribing practices by dentists during and after lockdown warrants further investigation.

Asian American sub-ethnic disparities and trends in epithelial ovarian cancer diagnosis, treatment and survival

ABSTRACT Objectives Studies on ovarian cancer (OC) diagnosis, treatment and survival across disaggregated Asian sub-ethnic groups are sparse. Few studies have also conducted trend analyses of these outcomes within and across Asian groups. Methods Using logistic, Cox, and Joinpoint regression analyses of the 2000–2018 Surveillance, Epidemiology, and End Results (SEER) data, we examined disparities and trends in OC advanced stage diagnosis, receipt of treatments and the 5-year cause-specific survival across seven Asian sub-ethnic groups. Results There were 6491 OC patients across seven Asian sub-ethnic groups (mean [SD] age, 57.29 [13.90] years). There were 1583(24.39%) Filipino, 1183(18.23%) Chinese, and 761(11.72%) Asian Indian or Pakistani (AIP) patients. The majority (52.49%) were diagnosed with OC with at an advanced stage. AIP were more likely to have advanced stage diagnosis than other subgroups (ORs, 95%CIs: 0.77, 0.62−0.96 [Filipino]; 0.76, 0.60−0.95 [Chinese]; 0.71, 0.54−0.94 [Japanese]; 0.74, 0.56−0.98 [Vietnamese] and 0.66, 0.53−0.83 [Other Asians]). The Filipinos were least likely to receive surgery but most likely to undergo chemotherapy. Japanese patients had the worst 5-year OC cause-specific survival (50.29%, 95%CI: 46.20%−54.74%). Based on the aggregated analyses, there was a significantly decreased trend in advanced-stage diagnosis and an increased trend in receipt of chemotherapy. Trends in OC outcomes for several subethnicities differed from those observed in aggregated analyses. Conclusion In this cohort study of 6491 patients, OC diagnosis, treatment, survival, and trends differed across Asian American ethnic subgroups. Such differences must be considered in future research and interventions to ensure all Asian American subethnicities equally benefit from the advancements in OC care and control.

Association between triglyceride-glucose index and sarcopenia in patients with chronic inflammatory airway disease

ObjectiveThis research sought to explore the association between the triglyceride-glucose (TyG) index and the risk of sarcopenia in patients with chronic inflammatory airway disease (CIAD). MethodsData were obtained from the National Health and Nutrition Examination Survey 2011–2018. Grouping was performed using TyG index tertiles and multiple logistic regression was employed to assess the correlation between TyG levels and the risk of sarcopenia. The Receiver Operating Characteristic (ROC) curve analysis was conducted to determine the prognostic value of the TyG index for sarcopenia. Linear regression analysis was utilized to elucidate the direct relationship between TyG index and sarcopenia. Additionally, the curve between the TyG and sarcopenia indices was examined using a generalized additive model. ResultsThe study included 981 individuals diagnosed with CIAD. After adjusting for potential confounders, a significant positive correlation was observed between TyG and sarcopenia (OR = 1.70, 95 % CI: 1.20–2.39, P = 0.002). Trend analysis using the chi-square test revealed an increase in sarcopenia prevalence concomitant with higher TyG levels (P < 0.05). Furthermore, linear regression analysis revealed a notable inverse linear association between the TyG and sarcopenia indices (β = −0.03; 95 % CI: −0.07–0.01; P = 0.020). The ROC curves corroborated the robust predictive capacity of TyG for sarcopenia among patients with CIAD, with an AUC of 0.685 (95 % CI: 0.636–0.735, P < 0.001). ConclusionOur research indicates a positive association between TyG and sarcopenia in CIAD patients. The TyG index may serve as a reliable marker for predicting sarcopenia risk in CIAD patients.

Analyzing Spatio-Temporal Dynamics of Grassland Resilience and Influencing Factors in the West Songnen Plain, China, for Eco-Restoration.

Grassland plays an indispensable role in the stability and development of terrestrial ecosystems. Quantitatively assessing grassland resilience is of great significance for conducting research on grassland ecosystems. However, the quantitative measurement of resilience is difficult, and research on the spatio-temporal variation of grassland resilience remains incomplete. Utilizing the Global Land Surface Satellite (GLASS) leaf area index (LAI) product derived from MODIS remote sensing data, along with land cover and meteorological data, this paper constructed the grassland resilience index (GRI) in the west Songnen Plain, China, a typical region with salt and alkali soils. This paper analyzed the spatio-temporal changes of the GRI and explored the contribution of climate factors, human activities, and geographical factors to the GRI. The results revealed that from 2000 to 2021, the GRI in the study area ranged from 0.1 to 0.22, with a multi-year average of 0.14. The average GRI exhibited a pattern of high-value aggregations in the north and low-value distributions in the south. Trend analysis indicated that areas with an improved GRI accounted for 59.09% of the total grassland area, but there were still some areas with serious degradation. From 2000 to 2015, the latitude and mean annual temperature (MAT) were principal factors to control the distribution of the GRI. In 2020, the mean annual precipitation (MAP) and MAT played important roles in the distribution of the GRI. From 2000 to 2021, the influence of human activities was consistently less significant compared to geographical location and climate variables.

Temporal Trends in Urinary Diversion among Patients Undergoing Radical Cystectomy Between 1986 and 2022: Experience at the University Medical Center Mainz with 2224 Cases.

Analysis of temporal trends of urinary diversion (UD) and identification of predictive factors for continent urinary diversion (CUD) in patients with bladder cancer (BC) is scarce and data on large cohorts are missing. We aimed to describe longitudinal temporal trends and predictive factors for UD among patients with BC receiving radical cystectomy (RC). We retrospectively analysed institutional data collected from patients undergoing RC from 1986 to 2022 to describe changes in patients' characteristics and UD. Primary end points were patients' characteristics associated with type of UD. Logistic regression analysis was used to determine predictive factors for CUD. In total, 2224 patients (77.16% male, 22.84% female) with a mean age of 66 years [standard deviation (SD), 10.64 years] were included. We observed an increase in mean age from 59.86 (10.8) years (1986-1990) to 69.85 (9.99) years (2016-2022) (p < 0.001). The proportion of CUD gradually declined from 43.72% (94/215; 1986-1990) to 18.38% (86/468; 2016-2022). Patients who were male [odds ratio (OR): 1.92, 95% confidence interval (CI): 1.43-2.57, p < 0.001), younger (OR: 0.88, 95% CI: 0.87-0.89, p < 0.001) and had no hydronephrosis prior to RC (OR: 2.2, 95% CI: 1.66-2.92, p < 0.001) were more likely to receive CUD. We report the largest European single-center cohort of UD after RC, demonstrating a significant shift from CUD to IUD, accompanied by an increasing age. Finally, our data mirrors the development and extensive experience with the Mainz Pouch-I in the 1980's and 1990's together with other colon pouches.

Sustainability Indicators of Foreign Assistance in the Field of Media and Information Literacy: A Case Study on Kyrgyzstan and Uzbekistan

Media and information literacy (MIL) projects are crucial for a country’s development. They provide citizens with access to vital information and resources. This enables them to learn about their rights and responsibilities, as well as gain access to critical resources to improve their quality of life. For the last decade several international organizations such as UNESCO, Internews, DW-Akademie annually have been providing grants for the training courses, and projects at various levels to increase the MIL level of the population in the Central Asian context. The present study will discuss ensuring the sustainability and efficiency of projects in the field of MIL in this region. The paper investigates the sustainability indicators of foreign aid initiatives in the realm of MIL within Central Asia. It aims to assess the long-term viability of foreign aid programs in fostering MIL across Central Asian nations through a comprehensive analysis of historical trends, policy frameworks, and stakeholder perspectives. As part of the research, face-to-face interviews were conducted with prominent trainers and experts from Kyrgyzstan and Uzbekistan. Emphasizing the role of public-private partnerships, technological integration, and cultural considerations, the paper explores avenues for promoting enduring change and enhancing the effectiveness of foreign assistance in this critical field. The findings contribute valuable insights to policymakers, practitioners, and scholars interested in optimizing foreign aid strategies for sustainable development in the ever-evolving landscape of media and information literacy in Central Asia.

Sustainability Indicators of Foreign Assistance in the Field of Media and Information Literacy: A Case Study on Kyrgyzstan and Uzbekistan

Media and information literacy (MIL) projects are crucial for a country’s development. They provide citizens with access to vital information and resources. This enables them to learn about their rights and responsibilities, as well as gain access to critical resources to improve their quality of life. For the last decade several international organizations such as UNESCO, Internews, DW-Akademie annually have been providing grants for the training courses, and projects at various levels to increase the MIL level of the population in the Central Asian context. The present study will discuss ensuring the sustainability and efficiency of projects in the field of MIL in this region. The paper investigates the sustainability indicators of foreign aid initiatives in the realm of MIL within Central Asia. It aims to assess the long-term viability of foreign aid programs in fostering MIL across Central Asian nations through a comprehensive analysis of historical trends, policy frameworks, and stakeholder perspectives. As part of the research, face-to-face interviews were conducted with prominent trainers and experts from Kyrgyzstan and Uzbekistan. Emphasizing the role of public-private partnerships, technological integration, and cultural considerations, the paper explores avenues for promoting enduring change and enhancing the effectiveness of foreign assistance in this critical field. The findings contribute valuable insights to policymakers, practitioners, and scholars interested in optimizing foreign aid strategies for sustainable development in the ever-evolving landscape of media and information literacy in Central Asia.

Intake of free sugar among children and adolescents in Germany declines - current results of the DONALD study.

Our recent analysis reported decreasing trends in intake of free sugar in children and adolescents in Germany. Here we set out to update this analysis with current dietary intake (until 2023) because of the strong public health nutrition interest in sugar intake. In total, 4,218 dietary records kept between 2010 and 2023 by 751 participants (46.0% females, 3-18 years) from the German Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) cohort were examined. Age and time trends in free sugar intake (%E/d) were analysed using polynomial mixed-effects regression models. Median intake data indicate a decline in the intake of free sugar between 2010/2011 (16.7%E) and 2022/2023 (11.7%E). Trend analyses confirmed, that intake of free sugars decreased continuously between 2017 and 2023 (Linear trend: β = -0.4126, p < 0.0001). In addition, free sugar intake changed significantly with age (Linear trend: β = 1.2922, p < 0.0001; quadratic trend: β = -0.08613, p = 0.0094; cubic trend: β = 0.001442, p = 0.1725), i.e. the intake of free sugars increases continuously up to early adolescence (9/10 years) and decreases again thereafter. The intake of free sugar among children and adolescents continued to decline, but still exceeded the WHO recommendations in 2023. Further measures to reduce free sugar intake would therefore be desirable, as well as continuous monitoring of sugar intake levels among this age groups.

Epidemiology of malignant gliomas in Iran: first report of Iranian National Population-based Cancer Registry, 2009-2017.

Malignant gliomas constitute the most common type of primary malignant brain tumors. Most previous studies have evaluated the epidemiology of malignant gliomas in developed countries. Hence, there is a lack of evidence in this regard from developing countries. This study is the first epidemiological report on the status of malignant glioma in Iran between 2009 and 2017. Data from the Iranian National Population-based Cancer Registry (covering 98% of the Iranian population) on CNS tumors recorded from 2009 to 2017 were used for analysis. Age-adjusted incidence rates were calculated by sex, tumor histology, tumor site, and year of diagnosis. Trend analysis of incidence rates was also performed. Survival data were recorded and the Cox proportional hazards model was used to evaluate underlying risk factors. A total of 8484 patients were diagnosed with malignant glioma between 2009 and 2017 in Iran. The overall age-adjusted incidence rate of malignant gliomas over the 9-year period was 1.71 per 100,000 persons. The most common histology of malignant gliomas was glioblastoma (81.4%). A significant increase in the incidence of malignant gliomas was found between 2009 and 2012. The median overall survival was 13.0 (95% CI 12.6-13.5) months over the study period. Older age groups, higher tumor grade, male sex, the first half of the study period, and receiving no treatment were significantly associated with worse prognoses. This study is the latest epidemiological report on the status of malignant gliomas in Iran. Although the overall incidence rate was lower than the rates in developed countries, several findings were consistent with those in prior reports.

Financial Instruments of the Green Energy Transition: Research Landscape Analysis

In the conditions of worsening global energy problems, financial instruments play a key role in reforming the energy market. They provide the necessary financial resources for the development and implementation of environmentally friendly energy technologies, aimed at supporting projects that reduce the negative impact on the environment, and contribute to attracting private capital to finance environmentally friendly projects. The purpose of this study is to analyze trends in research on financial instruments of the green energy transition. The article carries out a comprehensive bibliometric analysis of scientific works devoted to the problem of financing the green energy transition. The object of the research is the publications indexed by the Scopus database for 1954-2023. Research tools are programs for bibliometric data analysis Vosviewer, SciVal and CiteSpace. Based on the trend analysis of publication activity on the issues of financing the green energy transition, the key role of the Paris Agreement of 2015 in the growth of interest in these issues has been proven. Visualization of the most used keywords in scientific works on green energy transition financing allowed us to identify four clusters of keywords that characterize the concepts of green energy transition: the concept of “green construction”, the concept of “green technologies and innovations”, the concept of renewable energy, and the concept of “green of finance”. Analysis of the frequency and number of citations of publications on green energy transition financing issues using the CiteSpace package made it possible to determine the TOP-17 keywords, highlight the period of their greatest citations, and carry out their clustering. Phrases most often used in publications include: finance, alternative economy, green bonds, green innovation, sustainable development, greenhouse gas emissions, sustainable finance, green credit, green economy, climate finance. Based on the analysis of relationships between keywords, seven clusters were identified: sustainable development, financing constraints, green bonds, green credit policy, green bonds, green economic growth, green economic recovery. The obtained results can be used by state institutions to improve financing strategies for green energy transition programs from the point of view of determining modern trends and key vectors of green finance development in the field of energy, analysis of the most effective financing tools, and identification of problems in the field of energy development.

Assessment of the Solar Energy Potential over South America Estimated by CMIP6 Models in the Present and Future Climate

Developing the renewable energy matrix of South America (SA) is fundamental for sustainable socioeconomic growth and mitigating climate change's adverse effects. Thus, this study estimates changes in SA's solar irradiance and solar power potential using data from eight global climate models (GCMs) belonging to the Coupled Model Intercomparison Project—Phase 6 (CMIP6). Applying statistical downscaling and bias correction with the Quantile Delta Mapping (QDM) technique, we evaluate projected changes in the Concentrated Solar Power (CSP) and Photovoltaic Power (PVP) outputs under different future climate scenarios (SSP2-4.5 and SSP5-8.5). Historical simulations (1995–2014) are validated using ERA5 reanalysis and CLARA-A3 satellite observations. The QDM method reduces the models' systematic biases, decreasing the ensemble's errors by 50% across SA throughout the year. Regarding future decades (2020–2099), the CMIP6 ensemble shows spatial and seasonal variability in solar generation. For CSP, estimates suggest that regions traditionally favorable to solar energy generation (such as the Brazilian Northeast and portions of Chile) will maintain their suitable conditions during the 21st century, projecting a potential 1–6% increase (particularly under the SSP5-8.5 scenario in southern Chile and most of Brazil). Concerning PVP generation, the CMIP6 ensemble projects a rise of 1–4% (mainly under the SSP5-8.5 scenario in the Amazonia, Midwest, and Southeast Brazilian sectors). Moreover, trend analyses projected individually by the CMIP6 GCMs converge on an increasing PVP, mainly in Brazil's Amazonia and Midwest regions. In contrast, for South Brazil, approximately 84% of the projections show a negative trend (or no trend), evidencing unfavorable or uncertain conditions for solar generation development in the region. Despite the data and processes' inherent limitations, this study yields a first analysis of statistically downscaled projections from CMIP6 for solar power generation in South America, providing valuable information for energy sector decision-makers.

Identification of MYB Transcription Factor, a Regulator Related to Hydrolysable Tannin Synthesis in Canarium album L., and Functional Analysis of CaMYBR04.

Hydrolysed tannins (HTs) are polyphenols, which are related to the astringency, flavour, colour, stability, medicinal value and other characteristics of many fruits and vegetables. The biosynthetic mechanism of the majority of HTs remains unknown, and many biosynthetic pathways of HTs are speculative conclusions that have not been confirmed. The fruit of Canarium album L. (Chinese olive), which is notable for its pharmacological and edible properties, is rich in HTs. The fruit has a distinctive bitter and astringent taste when initially consumed, which mellows to a sweet sensation upon chewing. HTs serve as the primary material basis for the formation of the Chinese olive fruit's astringent quality and pharmacological effects. In this study, the fruit of C. album Changying was utilised as the research material. The objective of this study was to provide a theoretical basis for the quality control of Chinese olive fruit and the application and development of its medicinal value. In addition, the study aimed to identify and screen related MYB transcription factors involved in the synthesis of HTs in the fruit and to clarify the mechanism of MYBs in the process of synthesis and regulation of HTs in Chinese olive fruit. The principal findings were as follows. A total of 83 differentially expressed Chinese olive MYB transcription factors (CaMYBs) were identified, including 54 1R-MYBs (MYB-related), 25 2R-MYBs (R2R3-MYBs), 3 3R-MYBs, and 1 4R-MYB. Through trend analysis and correlation analysis, it was found that CaMYBR04 (Isoform0032534) exhibited a significantly higher expression (FPKM) than the other CaMYBs. The full-length cDNA sequence of CaMYBR04 was cloned and transformed into strawberry. The results demonstrated that CaMYBR04 significantly enhanced the fruit's hydrolysable tannin content. Consequently, this study elucidated the function of CaMYBR04, a regulator of the Chinese olive fruit hydrolysable tannin synthesis pathway, and established a theoretical foundation for the synthesis and regulation of fruit HTs.

Assessing Chlorophyll-a Variations in Caspian Sea during the COVID-19 Pandemic.

The COVID-19 pandemic's disruptions to human activities prompted serious environmental changes. Here, we assessed the variations in coastal water quality along the Caspian Sea, with a focus on the Iranian coastline, during the lockdown. Utilizing Chlorophyll-a data from MODIS-AQUA satellite from 2015 to 2023 and Singular Spectrum Analysis for temporal trends, we found a 22% Chlorophyll-a concentration decrease along the coast, from 3.2 to 2.5mg/m³. Additionally, using a deep learning algorithm known as Long Short-Term Memory Networks, we found that, in the absence of lockdown, the Chlorophyll-a concentration would have been 20% higher during the 2020-2023 period. Furthermore, our spatial analysis revealed that 98% of areas experienced about 18% Chlorophyll-a decline. The identified improvement in coastal water quality presents significant opportunities for policymakers to enact regulations and make local administrative decisions aimed at curbing coastal water pollution, particularly in areas experiencing considerable anthropogenic stress.

Spatiotemporal variability identification and analysis for non-stationary climatic trends for a tropical river basin of India

The non-stationary behavior of climatic variables has been increasingly recognized as a challenge that disrupts the equilibrium of human-defined climate-based stationary processes, including hydrological and agricultural practices, and irrigation systems. This study aims to investigate long-term trends and non-stationarity in climatic variables across 23 stations of the Krishna River basin, India. Prominent trends in rainfall, temperature, and their extreme indices were identified using the Modified Mann-Kendall (MMK), Bootstrapped Mann-Kendall (BMK), and Sen's Slope Estimator tests, while the Innovative Trend Analysis (ITA) test uncovered hidden trends and potential shifts in climatic patterns. This study addresses a critical research gap by exploring both significant and hidden trends in climatic variables, providing a better understanding of future dynamics. Traditional methods like MMK and Sen's Slope were insufficient to reveal these hidden trends, but ITA offered a more comprehensive analysis. The findings revealed an increase in total annual rainfall for almost 50% of the basin, which aligns with rising maximum temperatures, suggesting enhanced evaporation rates and subsequent fluctuations in rainfall patterns. Seasonal analysis indicated a shift towards decreased rainfall during winter and pre-monsoon seasons, contrasted by increased precipitation during the monsoon and post-monsoon periods, highlighting a clear alteration in rainfall distribution. The Simple Daily Intensity Index (SDII) and other indices suggest intensified rainfall events despite a decrease in the number of rainy days, indicating fewer but more intense events. Temperature analysis showed an overall increase in maximum temperatures, with the Diurnal Temperature Range (DTR) significantly increasing across all stations, implying greater daily temperature variations and potential for intensified water cycles and extreme climatic events. Furthermore, the study simplifies these trends by classifying them into two attributes: intensity and frequency, aiding policymakers in site-specific management of water resources and planning for future climatic scenarios. The presence of non-stationarity in extreme rainfall was confirmed by the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) tests. These findings are significant as they conclude how climate change is altering hydrological patterns at each station. The study emphasizes the necessity for adaptive management strategies to mitigate the adverse impacts on agriculture, infrastructure, and human safety.

Crop planning using innovative trend analysis of 62-years rainfall data

The success of climate-smart agriculture in high rainfall zone lies in understanding the rainfall trend and planning or modifying the cropping system for maximum yield. Moisture stress in critical crop growth stages is detrimental to the crop and drastically reduces the yield. Udhagamandalam region in Western Ghats is a high rainfall area and is largely cultivated by vegetable crops. Rainfall trend based crop planning would enhance the crop yield without water stress. A study was carried out at ICAR-Indian Agricultural Research Institute, Dhemaji, Assam focused on assessing the long-term seasonal and monthly rainfall trends of Udhagamandalam region, Tamil Nadu using non-parametric tests and Innovative Trend Analysis (ITA). Daily rainfall of 62 years from 1960–2021 was analyzed with non-parametric tests, viz. Mann-Kendall and modified Mann-Kendall and ITA to find the seasonal rainfall characteristics. Mann- Kendall (3.055) and modified Mann-Kendall (3.055) tests showed a significantly increasing trend in the annual and seasonal monsoonal rainfall. ITA revealed either a significant positive or a negative trend in all the months except February, with the highest trend in June (2.625). In contrast to standard non-parametric tests, ITA detected a significant positive trend in all seasons and annual rainfall, except in cold winters where the trend is negative. The long-term trend analysis results suggest that the ITA is more precise for rainfall trend analysis than standard non-parametric tests and can be used to evaluate hidden variations of rainfall trends. Hence, ITA is recommended for analyzing rainfall trends for crop planning in high-rainfall regions. IT analysis of 62 years of rainfall data of Udhagamandalam suggested that vegetable crop planning can be done by farmers from August–November months as the rainfall trend during this period is assured as an increasing trend of rainfall pattern was observed.

Price Behaviour and Price Forecasting of Tomato in Koyambedu Market, Tamil Nadu

This study aimed to comprehend the price behavior of tomato crops and forecast their prices in the Koyambedu market in Tamil Nadu, one of the major vegetable markets in South India. Secondary data on price of tomatoes were collected from Agricultural Produce Market Committees (APMCs) for a period of 8 years, from 2014 to 2022. Statistical tools such as trend analysis and seasonality indices were computed to understand the movement of prices in the Koyambedu market. Results revealed peak market prices in November and lowest in March, with a positive trendline indicating a gradual price increase over the study years. Comparative analysis between Autoregressive Integrated Moving Average (ARIMA) and Seasonal-ARIMA (SARIMA) assessed price prediction accuracy. The periodogram highlighted significant seasonality, guiding the use of SARIMA to forecast 2023 monthly prices. Predicted prices ranged from 3675.00 Rs/Qtl in November to 1178.76 Rs/Qtl in May.

Resilience and Stress at Professional Work: Analysis of the Research Landscape and Public Interest

Stress has a negative impact on the efficiency and productivity of employees and, accordingly, brings additional costs or losses to companies. A company’s proactive role in ensuring its employees’ resilience to stress in the workplace is crucial in creating an effective working environment and reducing staff turnover. The article analyses the scientific environment (using Descriptive bibliometric analysis and Science Mapping) and public interest (using Google Trends) in resilience and stress at professional work and in management in this area. The bibliometric analysis was conducted using VOSviewer based on publications from the Scopus database (Elsevier) without restrictions on the year of publication, country, author, language and category; the trend analysis was conducted for the period 2004‒2024 for all categories and countries, all Internet traffic was restricted to “Web searches”. The study showed a steady increase in Internet searches for the concept of “resilience training”, with peaks in 2004 and 2005 (coinciding with known terrorist attacks); interest in the query “resilience at professional work” is highest in the United States and the United Kingdom, and 12 leading countries were identified for the query “stress at professional work”. The dynamics of scientific papers in this area are described in the article by a 3rd-degree polynomial dependence equation with a determination coefficient of R² = 0.9676; a significant surge in publication activity occurred in 2014, with the number of papers increasing by 472% and an annual growth rate of 20% in 2014‒2024. The dominant subject areas of these publications are medicine (34.50%), social sciences (15.08%) and psychology (14.47%); countries are the USA, the UK, Australia, Canada, and China. The article identifies scientists who are leaders of scientific thought in this area, the most developed research networks, authoritative publications and journals (based on citation analysis), the most powerful international and national institutions that have funded research in this area (among the world leaders are the US National Institutes of Health and the US Department of Defence). The article structures the scientific work in this area: 1) based on the content and contextual feature, nine thematic clusters are identified, the most significant of which is the one that studies stress at work and professional burnout from a medical point of view; 2) based on the content and chronological feature, the most significant number of works were those on the human factor and gender issues of stress and resilience published in 2017‒2018.

A Bibliometric Analysis of the Current Trends in Collaboration Skills in the Learning Process

A Bibliometric Analysis of the Current Trends in Collaboration Skills in the Learning Process