Search

Geometric Optics is a rapidly-evolving field with implications for a broad range of applications, from biomedical imaging to advanced materials engineering. This comprehensive bibliometric analysis presents an in-depth examination of global research in Geometric Optics from 2012–2021, using data from the Scopus database. The analysis reveals a total of 5,388 publications authored by 15,277 individuals, with a steady annual growth rate of 3.7% and an impressive citation impact of 11.99% per paper. The top 20 productive authors are identified, who contributed to 18.5% of global publications and 11.1% of citations, and the international collaboration networks that have emerged around key research areas are mapped. The study also reveals an expanding research landscape, with emerging areas such as nanophotonics and metamaterials gaining traction. These findings provide a comprehensive overview of the global research landscape in Geometric Optics, which can be used to guide future research and collaborative efforts. The study represents a valuable resource for researchers, practitioners, and policymakers alike, seeking to advance the field and unlock its full potential. [ABSTRACT FROM AUTHOR]

Simple Summary: Dioecious plants hold an important position in maintaining species diversity and the structural and functional stability of terrestrial plant ecosystems. Populus euphratica (P. euphratica), a prototypical dioecious tree with a global distribution across desert and arid regions, is a notable model plant for investigating mechanisms of environmental stress resistance. In this study, we studied the responses of the sex ratio, age structure, survival curve, growth rate, and WUEi exhibited by male and female P. euphratica in the lower Tarim River to change groundwater depth. We found that the drought tolerance range of males was narrower than that of females; moreover, male P. euphratica were more competitive under mild drought stress, while female P. euphratica demonstrated greater endurance under severe drought stress. These findings elucidated the reason behind gender-based spatial differentiation in P. euphratica from the perspective of specialized water use between males and females and shed new light on the implications of ecological water conveyance management for the restoration, conservation, and rejuvenation of the natural P. euphratica forest. P. euphratica stands as the pioneering and dominant tree within desert riparian forests in arid and semi-arid regions. The aim of our work was to reveal why dioecious P. euphratica in natural desert riparian forests in the lower Tarim River exhibits sexual spatial distribution differences combined with field investigation, tree ring techniques, isotope analysis techniques, and statistical analyses. The results showed that P. euphratica was a male-biased population, with the operational sex ratio (OSR) exhibiting spatial distribution differences to variations in drought stress resulting from groundwater depth change. The highest OSR was observed under mild drought stress (groundwater depth of 6–7 m), and it was reduced under non-drought stress (groundwater depth below 6 m) or severe drought stress (groundwater depth exceeding 7 m). As drought stress escalated, the degradation and aging of the P. euphratica forest became more pronounced. Males exhibited significantly higher growth rates and WUEi than females under mild drought stress. However, under severe drought stress, males' growth rates significantly slowed down, accompanied by significantly lower WUEi than in females. This divergence determined the sexual spatial segregation of P. euphratica in the natural desert riparian forests of the lower Tarim River. Furthermore, the current ecological water conveyance project (EWCP) in the lower Tarim River was hard to fundamentally reverse the degradation and aging of the P. euphratica forest due to inadequate population regeneration. Consequently, we advocated for an optimized ecological water conveyance mode to restore, conserve, and rejuvenate natural P. euphratica forests. [ABSTRACT FROM AUTHOR]

This study highlights the growth of literature produced as a result of Indo-US collaboration in the bioinformatics domain covering the period 1999-2021. A total of 719 publications have been produced through Indo-US collaboration in bioinformatics, the data for which were downloaded using Scopus and subjected to analysis using MS Excel software. To examine the growth pattern and trend in publications, various growth models were applied to the literature. Overall, an increasing trend has been observed, and the declining RGR tends to reflect the slow but steady increase in the number of articles published, as evidenced by an increase in DT. The growth of literature produced as a result of Indo-US partnership in the area of bioinformatics follows the Linear Growth Model. When the different growth models using curve fit values based on R² have been applied, the Power Growth Curve is found to be the best match, followed by the Exponential Growth Curve, Linear Growth Curve, and Logarithmic Growth Curve. [ABSTRACT FROM AUTHOR]

The emergence of online learning has acquired the attention of learners and educators in the 21st century. The need has arisen especially when the world has suffered from the Covid-19 pandemic, the institutions of higher learning have come up with the latest technologies to combat the learning environment scenario. The present study mainly analysis the existing works of literature published on the topic of online learning which is abstracted from SpringerLink. The bibliometrics method of analyzing the data was adopted for the study. The study analysis the components such as the growth of literature, year-wise distribution, annual growth rate (AGR), compound annual growth rate (CAGR), relative growth rate (RGR), and doubling time (DT) of the publications authorship pattern and authors productivity of literature, Study the citation, altmetrics, download and access pattern of literature, the most prominent journals, publisher-wise, country-wise distribution of literature, most productive institutions and top-cited paper in the published literature on "online learning". The study shows that the highest number of publications can be noticed from the conference papers and there is a frequent rise in publications. The annual growth rate of the published literature is 533.34 in 2003 and the number of authors per publication on average was highest in 2017. The study shall contribute to examining the existing scenario of the published literature measurement on online learning and shall encourage more exciting researchers and academicians to work more in this specific field. [ABSTRACT FROM AUTHOR]

Chemo-informatics is a recent development in the field of chemistry. It has helped scientists develop various chemical structures using computers, leading to the solution of some intricate problems in chemistry, including in medical chemistry. Objective: The mapping of literature in chemo-informatics was performed to reveal publication trends, authorship trends, core journals, and collaborative authors at the national, international, and institutional levels. The annual growth rate revealed the growth pattern of publications. The data of collaboration was visualized using the VOS Viewer tool. Methodology: The methodology used for this study was citation analysis of the publications downloaded from the SCOPUS database for the years 2017 to 2022. A total of 1425 data items were downloaded based on the keywords used for searching. Out of these 1425 after cleaning the data, only 1,413 citations were used for further study. Out of these 1,413 citations, 13 citations were anonymous so they were also ignored for authorship analysis. Findings: The findings of the study were that the annual growth rate of publications as shown by the highest number of publications (276) was in 2021 and the lowest 195 (13.80%) in 2018. Articles (65.46%) were the preferred publications by the authors. Multiple author (5 or more) publications show the prevalence of teamwork, which was further substantiated by the Av. Collaboration Index of 4.48; Av. Degree of collaboration was .0926 and Av. collaboration coefficient was .0179. J. Medina-Franco of Universidad Nacional Autónoma de México was the most prolific author with 53 publications during the 5 years of the study period. The Journal of Chemical Information and Modeling headed the list of publications with 48 publications while the Journal of Chemical Education received the highest number of citations (1052). In the list of countries with maximum contribution, the USA headed the list with 327 publications receiving 7735 citations. The international link strength was 211, which iswas revealed by the International Cooperation Index (ICI) of 64.52. China was placed in second place in international collaboration. All these papers could be only b possible through the use of computers, as the 21st century has allowed the use of computers in general studies which have become precursors to develop various models and theories based on computers. The present study reveals the collaborative nature of research which is very much prevalent nowadays and which can also be seen in the visualization report. The study also reveals that authors are adopting team research and have a wider perspective of their research.

The study tries to determine the research trends of BRICS countries on cardiomyopathy disease research during 2011–2020. The study analyses 8,013 cardiomyopathy research documents retrieved from the Web of Science database for ten years. Findings of the study revealed that the maximum documents 1,189 were published in 2020, 23.07% maximum annual growth rate was recorded in 2013, and the highest 93.11% CAGR was recorded in the year 2012. The highest RGR 1.84 and doubling time 1.17 recorded in the year 2020 and 2013, respectively. The most prolific journal was the International Journal of Cardiology, with 209 articles. Zhang Y contributed the most number of documents (236, 2.94%). The University of Sao Paulo had the top most relevant affiliation with 787 documents. China led the list of most cited countries with 53,306 total citations, but the USA had the highest average article citations, i.e., 29.24. The majority of documents were in the form of articles. China contributed the most number of documents among all the BRICS countries. [ABSTRACT FROM AUTHOR]

P. euphratica stands as the pioneering and dominant tree within desert riparian forests in arid and semi-arid regions. The aim of our work was to reveal why dioecious P. euphratica in natural desert riparian forests in the lower Tarim River exhibits sexual spatial distribution differences combined with field investigation, tree ring techniques, isotope analysis techniques, and statistical analyses. The results showed that P. euphratica was a male-biased population, with the operational sex ratio (OSR) exhibiting spatial distribution differences to variations in drought stress resulting from groundwater depth change. The highest OSR was observed under mild drought stress (groundwater depth of 6–7 m), and it was reduced under non-drought stress (groundwater depth below 6 m) or severe drought stress (groundwater depth exceeding 7 m). As drought stress escalated, the degradation and aging of the P. euphratica forest became more pronounced. Males exhibited significantly higher growth rates and WUEi than females under mild drought stress. However, under severe drought stress, males’ growth rates significantly slowed down, accompanied by significantly lower WUEi than in females. This divergence determined the sexual spatial segregation of P. euphratica in the natural desert riparian forests of the lower Tarim River. Furthermore, the current ecological water conveyance project (EWCP) in the lower Tarim River was hard to fundamentally reverse the degradation and aging of the P. euphratica forest due to inadequate population regeneration. Consequently, we advocated for an optimized ecological water conveyance mode to restore, conserve, and rejuvenate natural P. euphratica forests.

The transition rules of cellular automata (CA) werestrengthened by incorporating annual growth rate (AGR) to reflect spatially heterogeneous neighbourhoods. We conducted hotspot (AGRHST) and gradient (AGRGDT) analysis of AGR to generate two spatial heterogeneity layers, then constructed three CA models: AGR-CA, AGRHST-CA and AGRGDT-CA. The modeling results showed that AGR-CA performed best in overall accuracy, AGRGDT-CA was superior to other models in terms of landscape pattern, and AGRHST-CA produced unrealistically smooth boundaries. The simulation accuracy of these models exceeds 89%, indicating that logistic regression-based simulation methods can be substantially improved by strengthening the neighbourhood effects. [ABSTRACT FROM AUTHOR]

The study; conducted from January, 2020 to June, 2020; focuses on the comparative study of the area, production, and productivity trend of potatoes over 50 years in Sindhuli district and Nepal and a brief overview on quantity supply to the Kalimati fruits and vegetable market. The time-series data from 1968/69 to 2017/18 of Sindhuli and Nepal along with 6 years supply data (2013/14-2018/19) from different districts to Kalimati market were collected from reliable sources (Ministry of Agriculture and Livestock Development and Kalimati Fruits and Vegetable Market Development Board) and analysis was done using Microsoft Excel. Between 1968/69 and 2017/18, the area under potato cultivation in Nepal and Sindhuli has changed by 573 percent and -46 percent respectively while production increased by 907.6 percent in Nepal and 46 percent in Sindhuli. After 1982 dramatic shift in production was observed in Nepal as there was 7 percent of growth rate while in Sindhuli, the production trend highly fluctuates throughout the period. The average yield was 9.75mt/ha and 8.75mt/ha for Nepal and Sindhuli district. Sindhuli district contributes 1.16 percent of Nepalese potato growing area and 0.91 percent of Nepalese potato production. The trend of quantity supply reveals that during 6 years, Indian potato contributes 58 percent of the total amount that came into Kalimati market, while within-country Kavre has the largest share of 19 percent followed by Kathmandu-6 percent and Dolakha-4 percent. However, the trend of quantity supply of potatoes seems highly fluctuating and the Nepalese market is dominated by Indian imports.

Lately, remote sensing has been an effective tool for monitoring the Earth and environmental changes. Landsat with its legacy is providing available data for time-based research. The aim of this paper is to estimate the time of the self-healing progress of an abandoned mine area using Landsat satellite images. In this study, five Landsat satellite images were used. As a study area, the abandoned Damjan mine in the southeastern part of the Republic of N. Macedonia has been chosen. Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) values were used to classify Landsat images into barren land, bared soil, mixture of vegetation, vegetation, and water bodies. The NDVI values lower than zero are considered to be the area affected by the mine. The healing of the mine has been established using the annual growth rate analysis. It was found that the area has been healing approximately 10 % every year and a prediction was made for the study area till the year 2030. [ABSTRACT FROM AUTHOR]

Abstract Whether or not biogeographic rules dealing with spatial patterns of animal body sizes are valid for ectotherms is controversial. As the ectotherms grow all their lives, we explored the role of age and annual growth rate in body size variation in Phrynocephalus przewalskii in northern China. Morphological data were collected from 11 populations across a broad geographic gradient. Correlations between age, sex, climatic factors, and body size were analyzed using generalized linear model (GLM) and generalized linear mixed model (GLMM). GLM analysis indicated that the general body size of both sexes and the appendage size of females increased significantly with increasing temperature; however, the coefficient of determination was very small. GLMM analysis indicated that body size only correlated with age, whereas appendage size was affected by age, temperature, rainfall, and sunshine. Annual growth rates were positively correlated with temperature. We concluded that body size variation was mainly caused by age structure and plasticity of the growth rate in P. przewalskii and did not follow Bergmann's rule; however, females followed Allen's rule. Future studies to investigate the effect of energy restriction are needed to further understand the relationship between growth rate and body size. We also suggest that further studies on thermal advantage and sexual selection may be helpful to understand appendage size variation in P. przewalskii.

This study examined the performance of selected IFLA journals for 22 years between 2001 to 2021. The methodology used in this study includes Annual Growth Rate (AGR), Relative Growth Rate (RGR), and Doubling Time (Dt), as well as countries and institutions. With the highest productivity and distribution of publications per year, used to evaluate research productivity. To obtain the information required for this study, the Scopus database was consulted. During the research period, 813 publications were retrieved. Based on the study, the most articles were published in 2021, 84 (10.33%), and the lowest number was 25 (3.07%) in 2018. Due to the annual increase in the constant fluctuations in publications, research shows an average, productivity in IFLA journals. [ABSTRACT FROM AUTHOR]

The study examines papers published in the Journal of Big Data between 2016 and 2020. Over the period, 352 articles were published in the journal. The study includes findings of year-wise distributions of articles, growth rates of publications, authors, etc. The most contributions were made in 2019 with 113, and the least was in 2016 with 26. Among 54 different countries around the world, the USA scores in 1st rank. And further, the majority of articles were contributed by three authors, with 108 articles, followed by two authors with 105 articles. Taghi M. Khoshgoftaar is the most prolific author followed by Justin Zhan and Joffrey L. Leevy. A total of 1102 authors contributed 352 articles with average productivity of 3.13%. [ABSTRACT FROM AUTHOR]

Purpose: The second wave of the covid-19 pandemic has impacted global healthcare tremendously and mucormycosis associated with coronavirus disease is one of the deadly fungi that hit India in April 2021. An increasing number of research papers are upcoming with mucormycosis associated with coronavirus research and this paper aims at performing a bibliometric visualisation of all the available research on post covid-19 and mucormycosis. Method: The Scopus database was selected and the search query (ALL (novel coronavirus 2019 OR coronavirus 2019 OR COVID 2019 OR COVID 19 OR nCOV OR SARSCoV2 OR COVID19) and (black fungus or white fungus or yellow fungus or mucormycosis) was developed on 25 May 2021 to retrieve all the bibliographic records on the domine of interest. VOSviewer software tool was used to constructing and visualising bibliometric networks to measure co-authors, countries, and institutions document citation, keyword metrics. Results: A total of 154 documents were retrieved in the search, these were authored by 3,806 authors and published in 133 sources (journals, books, etc.). USA, India, and UK ware contributed the highest papers. Journal of Fungi (4), Heliyon (3), International Journal of Molecular Sciences (3), and Phytotherapy Research (3) are the journals that published the highest papers. Author per document was 24.7; Documents per author were 0.0405 and collaboration index was marked 26.5 during the period. Conclusion: this bibliometric visualisation presents the qualitative and quantitative metrics for post-covid-19 and mucormycosis research and provides evidence that research in this domine is more in-depth than before. It is hoped that this well-directed research in different countries will provide new avenues for understanding diseases caused by mucormycosis associated with coronavirus. [ABSTRACT FROM AUTHOR]

The present study focuses on the different attributes of authorship pattern in the literature published by Central Institute of Plastics Engineering and Technology (CIPET). For this purpose data is collected from Scopus database for the period from 2005 to 29.02.2020. A sum total of 591 papers were published during the period considered which is indexed in the Scopus database. The study aims to find out the pattern of publication, growth rate of publication, authorship pattern, collaborative index, collaborative coefficient, modified collaborative coefficient and co-authorship index etc. From the study it is found that the year 2019 was the most productive year with 86 publications followed by 2017 and 2015 with 68 and 67 publications respectively. The analysis indicates multiple authorship pattern is dominating in the publication of CIPET. Three authored publication is the highest number of publication which is 235 articles. The annual growth rate is maximum 450% in the year 2006. Highest collaborative index 3.84 is recorded in the year 2017. The DC is highest 1 in the years 2005, 2008, 2009, 2011-13, 2016-17 and 2020. Highest CC 0.57 is observed in the year 2007. Highest CAI is observed in single authorship i.e. 1196.36 in the year 2007. A total of 6945 citations were shared by 591 articles during the period 2005 to 29.02.2020. Highest number of citation 1101 is recorded in the year 2015. [ABSTRACT FROM AUTHOR]

The integration of renewable energy (RE) into the overall energy mix of Caribbean nations has been increasing in recent times. The volatile nature of the carbon-based industry through fluctuations in prices of fossil fuel basedproducts renders it necessary to promote an aggressive energy profile transition to renewable energy, as this is crucial to energy security in these vulnerable Small Island Developing States (SIDS). The nation of Barbados has notably understood this reality and, as such, its government has endorsed the approach of 100% RE implementation by 2030. This paper explores three distinctive annual growth rate (AGR) scenarios to assess the impact on the expected power generation, economic and environmental parameters through the period of 2019-2030. Notable findings at a high case scenario for 2030 (at an AGR of 3%) projects a power generation of 1.343 Tera-watts-hour (TWh), which will displace 790,500 barrels of oil equivalent (boe), resulting in an abatement of approximately 0.95 million tons of carbon dioxide into the atmosphere. [ABSTRACT FROM AUTHOR]

The paper examines the bibliographic data of 1436 documents published by the University of North Bengal and retrieves the data for a span of ten years, which was indexed in the Scopus database from 2011 to 2020 on various parameters. The average number of documents published per year was 143.6. The highest number of publications 166 was published in 2020, while the lowest number of publications was 108 in 2011. The relative growth rates (RGR) have decreased in 2019 (-0.34) and highest in 2012 (0.756) for last 10 years. The doubling time (Dt) increased during 2012 to a maximum of 231. Throughout the study, 9907 citations were recorded and a maximum of 2280 citations was noted in 2020. The majority of the documents came from articles, with 1333 coming from journals, and the source of the most funds was from UGC (12.67). Most of the co-authors came from the United States (8.22 per cent), and P Ghosh was the most prolific author, with 118 contributions. [ABSTRACT FROM AUTHOR]

A partir de las bases de datos de la American Community Survey disponibles en el sitio de IPUMS, se analiza cómo se ha comportado la población de cubanos en Estados Unidos en el período 2000-2014. Calculando una media ponderada de la población en el período y dividiendo por lugar de residencia en dos grupos: los que viven en la Florida y los que viven fuera de este estado, se analizan algunas variables que caracterizan a los cubanos residentes en Estados Unidos. Por otra parte se presenta una información más actualizada que muestra el estado para el 2016 de los cubanos residentes en Estados Unidos atendiendo a su distribución por sexo y edad. Además de este análisis en el 2016, se realiza una breve evolución que presenta una actualización general a partir del 2001, que considera los años 2015 y 2016, años que en la primera parte del trabajo por variables no se muestran. Asimismo se calculan las tasas de crecimiento anual de dicha población y el comportamiento de las entradas de cubanos a ese país a partir del año 2001. El trabajo es de corte descriptivo y pretende tener un acercamiento al comportamiento demográfico de los cubanos en Estados Unidos, con el objetivo de obtener insumos para futuras investigaciones. La novedad radica en trabajar con una base de datos desarrollada a partir de una encuesta anual que se aplica en sustitución del censo en Estados Unidos y que puede ser una fuente de información importante en el trabajo de los migrantes cubanos en ese país. From the databases of the American Community Survey available on the IPUMS site, the behavior of the population of Cubans in the United States in the period 2000-2014 is analyzed. Calculating a weighted average of the population in the period and dividing by place of residence into two groups: those living in Florida and those living outside Florida, we analyze some variables that characterize Cubans residing in the United States. On the other hand, more up-to-date information is presented showing the status for 2016 of Cubans residing in the United States, according to their distribution by sex and age. In addition to this analysis in 2016, there is a brief evolution that presents a general update from 2001, which considers the years 2015 and 2016, years that in the first part of the work by variables are not shown. Likewise, the annual growth rates of said population and the behavior of Cubans entering that country from 2001 onwards are calculated. The work is descriptive and aims to have an approximation to the demographic behavior of Cubans in the United States. The objective of obtaining inputs for future research. The novelty lies in working with a database developed from an annual survey that is applied to replace the census in the United States and that can be a source of important information in the work of Cuban migrants in that country.

The research productivity of CIPET has not been measured until now from any view point of Scientometrics. This is the untouched area of research. In the study a generous attempt has been made to understand and evaluate the research productivity based on Scopus database. The study focuses on various aspects of the publication such as the distribution of articles, annual growth rate, authorship pattern, authors productivity, degree of collaboration, collaborative index, country-wise distribution of articles, citation analysis. The dataset collected from Scopus database shows 606 publications from the beginning (1988) to 29.02.2020 in the area of Plastics Technology. From the study it is revealed that Nayak, S and Mohanty, S are two most productive author; Mohanty, S and Nayak, S have co-authored 302 (49.83%) articles and this pair stands on the First rank; Nayak, S and Mohanty, S are found to have the highest h-index, 34 and 30 respectively; Journal of Applied Polymer Science is found to be the journal with highest number of publishing articles which has an impact factor (2018-19) of 2.188; The year 2019 is found to be most productive year followed by 2017 and 2015; Maximum Relative Growth rate (RGR) of 0.29 has been found for the period 2004 to 2007 and the minimum RGR of 0.10 for the period 1996 to 1999. [ABSTRACT FROM AUTHOR]

Purpose: The study sought to determine the rate of aortic expansion and correlation with somatic growth in patients with repaired tetralogy of Fallot (rTOF), and predictors for determining the annual growth rate of the aorta (Ao-AGR). Methods: Ninety-four rTOF patients (mean age 14.5 ± 4.4 years) with two cardiac magnetic resonance tests (CMR) (median duration 52 months, interquartile range, IQR 24–71) were analyzed for aortic diameter (AoD) at the annulus, the sinus of Valsalva (SoV), the sinotubular junction, and the ascending aorta (AAo), and compared with the normal limit AoD (NL-AoD) values. The median age-at-repair was 60 months (IQR 36−84). Ao-AGR and its index (Ao-AGRI) were derived from changes of the AoD and AoD-index, respectively, divided by the duration between the two studies. Three potential predictors (baseline AoD, sex, and age-at-repair) for the progression of Ao-AGR were analyzed. Results: There was a significant larger AoD than NL-AoD (p

This study provides a bibliometric analysis of law literature published from 2015-2019. A total of 3001 articles were retrieved from DOAJ database for the study. The law literature has been further divided into two categories, i.e. Public law and Private law. This paper focuses on the journal-wise distribution of publications, subject-wise distribution of publications, annual growth rate as well as compound annual growth rate, relative growth rate (RGR) and doubling time (DT) of open access law literature. Various statistical tests and methods such as Student's t test, Chi-square test and correlation studies have been applied to verify the significance difference between the public law and the private law literature. It is found that the mean RGR for public law and private law are 0.41% and 0.39 % respectively whereas the values of DT for public and private law are 2.03 years and 0.98 year respectively. [ABSTRACT FROM AUTHOR]

Whether or not biogeographic rules dealing with spatial patterns of animal body sizes are valid for ectotherms is controversial. As the ectotherms grow all their lives, we explored the role of age and annual growth rate in body size variation in Phrynocephalus przewalskii in northern China. Morphological data were collected from 11 populations across a broad geographic gradient. Correlations between age, sex, climatic factors, and body size were analyzed using generalized linear model (GLM) and generalized linear mixed model (GLMM). GLM analysis indicated that the general body size of both sexes and the appendage size of females increased significantly with increasing temperature; however, the coefficient of determination was very small. GLMM analysis indicated that body size only correlated with age, whereas appendage size was affected by age, temperature, rainfall, and sunshine. Annual growth rates were positively correlated with temperature. We concluded that body size variation was mainly caused by age structure and plasticity of the growth rate in P. przewalskii and did not follow Bergmann's rule; however, females followed Allen's rule. Future studies to investigate the effect of energy restriction are needed to further understand the relationship between growth rate and body size. We also suggest that further studies on thermal advantage and sexual selection may be helpful to understand appendage size variation in P. przewalskii. [ABSTRACT FROM AUTHOR]

Scientometrics analysis the quantitative as well as the qualitative aspects of scientific parameters for better understanding of the mechanism of research activities. The paper attempts to present a quantitative and qualitative analysis of the publication output of Kumaraguru College of Technology, Coimbatore. Data have been collected from the Scopus database for the period 1997 to 2020. Among the 2110 papers published in the span of 24 years, the highest numbers of 404 papers were published in 2018 and 2019. 1792 papers (85.3%) were published during the last ten years from 2011 to 2020. Journal is the most preferred channel of publication with 1665 papers. This study reveals that Kumaraguru College of Technology has largely contributed to research in Science, Engineering and Technology and the publication output of faculty has increased considerably during the recent years. [ABSTRACT FROM AUTHOR]

Computation of growth rates plays an important role in agricultural and economic research to study growth pattern of a various commodities. Many of the research workers used the parametric approach for computation of annual growth rate but not use the concept of non-linear model. In this paper, an attempt has been made to study growth rates of guava for three districts (Hisar, and Kurukshetra) and Haryana state as a whole using different non-linear models. The time series data on annual area and production of guava (Psidium guajava L.) in different districts of Haryana from 1990-91 to 2015-16 were collected to fit non linear models. Growth rates were computed through best fitted non-linear models. It was found that Logistic model could be best fit for computation of growth rates of area for guava fruit in Hisar and Kurukshetra district and Haryana state as a whole whereas Gompertz model was best fit for Yamunanagar district based on high R2 and least MSE and RMSE values. It was also observed that monomolecular model was best fit for production of guava fruits in Hisar and Yamunanagar district whereas Logistic model was best fit for production of guava fruit in Kurukshetra and Haryana state as a whole because of high R2 and least MSE and RMSE values. R and excel software have been used for fitting the non linear model and computation of growth rates for area and production of guava fruit for the year 1990-91 to 2015-16. None has been used the non linear model growth model for computation of annual growth rate of guava fruit for area and production of Haryana state. But in this work non linear growth model has been used for computation of growth rate instead of parametric approaches. [ABSTRACT FROM AUTHOR]

The growth rate of literature on 'Information Literacy' during the period of 10 years i.e. (2008-2017) in which a total of 9496 research papers were published in the field of Information Literacy is analysed. A scientometric study is one of the most famous measurement tools to identify and find out the publications trends in the field of sciences. The study analysed and examined the different scientometric parameters i.e. year wise distributions of publications, annual growth rate, compound annual growth rate, relative growth rate and doubling time, most productive authors, geographical distributions and found that the maximum 1234 (12.99%) were published in 2016, 25.679 per cent annual growth rate was recorded in the year 2010 and the maximum 10.212 per cent CAGR recorded in 2009. The maximum RGR 0.795 and Dt. 5.824 were recorded in 2009 and 2017, respectively. The most prolific authors were Wolf, M.S with 65 publication, followed by 31 publication by Pinto, M. The maximum citations were recorded in the 2010 i.e. 14298, followed by 13594 citation in 2011. The maximum 5770 of contributions were published by the United States, followed by the United Kingdom with 1028 contribution. [ABSTRACT FROM AUTHOR]

This article proposes two-step procedure for solving the reactive power planning (RPP) problem. An iterative method is introduced in the first step to place the additional sources of reactive power and their associated maximum sizes. In the second step, several integrated strategies of differential evolution (DE) are suggested to optimize the RPP variables. Three types of objective function are investigated which aims at minimizing system power losses, minimizing the costs of operation and VAR investment and improving the voltage profile distribution at load buses. The strategies performance is examined on IEEE 30-bus test system and on the West Delta network as a real Egyptian section. The evolution of the system considering the annual growth rate of peak load in the Egyptian system has been taken into consideration at different loading levels. Application of the proposed method is carried out on large-scale power system of 354-bus test system. The strategies robustness and consistency are compared to DE, genetic algorithm and particle swarm optimizer. The proposed two-step procedure using the proposed DE strategy is assessed compared to single-step RPP procedure. Furthermore, its mutation and crossover scales are optimally specified. Simulation outcomes denote that the proposed DE strategy is excessively superior, more powerful and consistent than the other compared optimizers which indicate that the proposed strategy of DE algorithm can be very efficient to solve the RPP. The proposed strategies are proven as alternative solution strategies, especially for large-scale power systems. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To investigate the application and its trend of antidepressants in Changshu No.1 People’s Hospital(hereinafter referred to as "our hospital"), so as to provide references for clinical rational medication. METHODS: By reference of the defined daily dose recommended by WHO, the data of consumption sum, defined daily dose system(DDDs), defined daily cost(DDC) and its constituent ratio and annual growth rate during 2015-2017 were collected and retrospectively analyzed. RESULTS: During 2015-2017, the consumption sums of antidepressants were respectively 2.340 1 million, 2.402 7 million and 2.561 6 million yuan, with growth rates of 2.68% in 2016 and 6.61% in 2017, the average proportion of the consumption sum of antidepressants accounted for 0.74% of the total consumption sum of western medicine. In the past 3 years, the total consumption sum of antidepressants were 7.304 4 million yuan, the consumption sums of selective serotonin reuptake inhibitors(SSRIs), serotonin and norepinephrine reuptake inhibitors(SNRIs) were respectively 5.497 3 million and 1.807 1 million yuan, which respectively accounted for 75.26% and 24.74%; the consumption sums of domestic, joint venture and imported antidepressants were respectively 3.390 9 million, 0.950 6 million and 2.962 9 million yuan, which respectively accounted for 46.42%, 13.01% and 40.56%; the top 3 drugs ranked in consumption sum were paroxetine, escitalopram and venlafaxine in turn; the top 3 drugs ranked in DDDs were paroxetine, venlafaxine and escitalopram in turn; duloxetine had the largest DDC of 16.77 yuan. CONCLUSIONS: The application of antidepressants is ever-growing, and the new antidepressants have become the first clinical choice, which basically conforms to the current trend of drug application; however, the development and application of domestic new drugs should be strengthened to make the application of drugs safer, more effective and economical. [ABSTRACT FROM AUTHOR]

Insulin-like growth factor (IGF) expression plays a critical role in the endocrine regulation of proliferation, differentiation, and growth in shellfish as well as in fish. The Pacific oyster, Crassostrea gigas, is a significant aquaculture species that comprises a large percentage of the Korean shellfish industry; moreover, its growth is economically important in aquaculture. However, when measuring the growth rate in shellfish, the soft tissue weight is difficult to determine because of the shell weight. In the present study, we describe an indirect method of measuring the growth rate using multiplex polymerase chain reaction (PCR) and analyzing levels of molluscan insulin-related peptide (MIP), the acid labile subunit of the IGF-binding protein complex (IGFBP ALS), and insulin-related peptide receptor (CIR) in Pacific oysters. The predicted sizes of amplicons were 776, 537, 380, and 198 bp, and the detection limit of the annealing temperatures was confirmed to be 65 °C. The annual expression of MIP and IGFBP ALS in tissues reached high levels in the winter following the condition index (CI). MIP and IGFBP ALS in male gonads and CIR in female gonads were related to the CI. This newly improved multiplex PCR provides an indirect measure of the growth rate; thus, it can be used to rapidly assess the growth rate. In addition, this method can supplement traditional growth data from oyster farms. [ABSTRACT FROM AUTHOR]

This paper has made an attempt to highlight the Neurology research in global level as per the scientific publications appeared in the Web of Science citation database during the period 2006-2015. It found a total of 23, 335 publications were published by the global researchers in the field of Neurology. The average number of publications published was 2333.5 and the highest numbers of publications (3357) were published in the year 2015. This paper tried to analyze the broad features of literature on global warming focusing on year wise growth of publications, most prolific authors, highly productive institutes, highly productive countries, language wise distributions of publications, high productive subject areas and most preferred journals for publications by scientists were also discussed. [ABSTRACT FROM AUTHOR]

Tourism has become an important factor in the recent growing economy to trade with international dimensions. Mountain destinations offers inter alia, a wide range of possibilities such as unique cultural attractions, hiking, skiing, rafting, kayaking, rock climbing, mountain biking, bungee jumping, and paragliding. that attracts mass tourism with temporal imbalance in number of tourist arrivals. Kinnaur, is also referred to as the ‘Land of god’ and is 235 Km from Shimla in India. The area is known for its serenity and beauty and opulent green and rocky mountain-scape. It has the Satluj, Baspa and Spiti rivers meandering through it. The main purpose of study is to provide a pattern of tourist statistics and determine the peak season of tourist attractions in Kinnaur. The study is based on secondary data. To achieve the objectives an annual growth rate (AGR) and compound annual growth rate (CAGR) were calculated. The most frequently used simple average method was considered to quantify seasonality phenomenon. The results reflect the moderate increase in tourist arrivals and two peak seasons in Kinnaur, Himachal Pradesh, namely: ‘May-June’ and ‘September-October’.