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Modern EAF steelmaking employs scrap as its primary source of raw material. Different sources of scrap have varying levels of residuals, which can negatively influence product properties, performance, and surface quality. The presence of some residuals, such as Cu and Ni in controlled quantities, can also positively impact steel performance for some applications. It is also well known that interactions between residuals and alloying elements in steel can modify the structure of scale formed during slab reheating prior to hot rolling. These changes in the scale structure can influence scale removability. In this study, the effect of varying Cu concentrations in a low alloyed Mn and Si containing steel was examined to investigate its impact on scale removability. Laboratory studies were performed with simulated reheating and descaling conditions that mimic the conditions used in industrial practices. The scale structure that formed during reheating in the combustion atmosphere was investigated using SEM/EDX analysis. A special laboratory water jet descaling device was used to evaluate scale removability at three different hydraulic impact factors. The results showed that Cu at different levels significantly modified scale structure that formed, particularly the internal scale layers, which affected scale removability at different applied descaling impact factors. The effects of Cu level and descaling impact factor on scale removability is discussed. [ABSTRACT FROM AUTHOR]

Objective: To characterize the scientific production of the Revista Alergia Mexico. Methods: A descriptive study was carried out that took into consideration the bibliometric information of the Revista Alergia México hosted in PubMed (MEDLINE) and Scopus. Results: The total number of articles published during 1991 to 2021 according to Pubmed was 1,115 (annual mean: 37.2 ± 12.3). Scopus registered 1,541 articles during 1972 to 2021 (annual mean: 30.8 ± 14.9); in both sources, original articles (49 and 78%, respectively) and review articles (21 and 12%, respectively) were the most published document modalities; the most relevant topics included asthma (32%), allergic rhinitis (16%) and drug allergy (9%). Public institutions in Mexico were the institutions with the highest number of published articles. The country with the highest number of published papers was Mexico (54%), followed by Colombia (5%) and Spain (4%). The 2020 citation index according to Scopus was 0.9; an H-index of 15; and an impact factor of 0.150. During the period 2016 - 2020, the annual rejection rate ranged from 7% to 30%. Conclusions: Promoting the internationalization of the journal, publishing articles in the English language and achieving the impact factor are among some of the main needs of the Revista Alergia Mexico. [ABSTRACT FROM AUTHOR]

University faculty under consideration for tenure and promotion are expected to demonstrate to their committees the value of their scholarly output. This case study involves the creation of a citation analysis service at a midsized university and reviews many of the existing sources for metrics and journal rankings – both subscription-based and freely available. The aim is to offer a roadmap for budget-minded academic libraries that want to assist their faculty in compiling individualized portfolios that include bibliometrics. Many existing tools favor the hard science fields. This case study focuses on a pathway through the confusing subject of citation analysis with a focus on the social sciences and humanities while highlighting the benefits for academic institutions and libraries. [ABSTRACT FROM AUTHOR]

Bridge support boundaries usually change in an operating environment, such as the deterioration of elastic constraints caused by bearing damage and pier scouring. The dynamic response of a bridge under a moving vehicle load may be amplified due to changes in the support boundaries. In this paper, the vibration characteristics of elastically supported bridges under moving vehicle loads are investigated through a numerical model accompanied by a dynamic impact factor (IM) to estimate the amplification effect. A beam elastically supported at both ends and a simplified two-degree-of-freedom moving spring mass system are used to construct a vehicle–bridge interaction model, followed using the road surface condition (RSC) as an input and the Newmark-beta method to solve the interaction equation to obtain the dynamic response of the bridge. Finally, the impact factor is calculated, and a case study including bridge and vehicle parameters is carried out to evaluate the impact of the boundary deterioration on the dynamic response of the bridge. The results show that the dynamic response of the elastically supported bridge increases with decreasing bridge span and vehicle weight, as well as the deterioration of the RSC and support boundary, when the degradation of the support boundary is serious, the IM may exceed 1.0 even if the RSC is in good condition, which suggests that maintaining the flatness of the bridge deck and the integrity of the support boundaries can reduce the impact of the bridge dynamic effect. [ABSTRACT FROM AUTHOR]

Understanding the mechanism of regional soil chemical property changes is crucial for guiding precise farming and further alleviating poverty in mountainous areas. Our aims were to monitor the temporal and spatial changes in the soil chemical property in subtropical mountainous areas and explore the effect of human activities, soil and topographic factors on the changes. In this study, a total of 332 soil samples were collected from 2017 to 2020 in Baokang County, subtropical mountainous area in central China. We analyzed the soil pH, soil organic matter (OM), soil available phosphorus (AP), soil available potassium (AK), soil total nitrogen (TN) and used Kriging interpolation to draw the map of spatial distribution of soil chemical properties in Baokang County from 2017 to 2020. The geographical detector was used to explore the driving forces of soil chemical property change over the years of research. The results show that: 1) from 2017 to 2020, soil pH, soil OM, and soil AP in Baokang County was increasing from north to south and the value of three chemical properties showed a slight decreasing trend. Soil AK showed an increasing trend, with higher values in Longping and Xiema towns and relatively lower values in Guoduwan, and soil TN was at a high level with large spatial variation. 2) The human activities, soil and topographic factors all affect soil properties in Baokang. In human activities, the cropping system and crop yield were strong explanatory factors for the changes in soil chemical properties, especially for AK and AP. The q values of all the indicators in the soil factor were relatively high, which displays that all indicators we selected affected the changes in soil properties. Soil OM and soil TN were the factors that affected each other with the greatest driving force, as were soil AP and soil AK. The driving force of DEM was greater among the topographic factors (slope, topographic relief and DEM), and its effect on five soil chemical properties showed that AK>AP>OM>TN>pH. 3) The interactions between each two factors showed a two-factor-enhanced relation, indicating that multiple factors form the soil properties of Baokang County. The findings of this study offer some scientific basis and suggestions for local government to control soil quality and economic development. [ABSTRACT FROM AUTHOR]

The contribution of intermittent rivers and ephemeral streams (IRES) to the global carbon cycle has largely been overlooked. Flood events can impact hydrological processes, carbon (C) transport, and carbon dioxide (CO2) emissions. This study monitored river flow and sediment concentrations in an intermittent river during a flood event. Water samples were measured for water quality factors and C transport indices. CO2 partial pressure (pCO2) and CO2 flux (FCO2) were also analyzed. Remote sensing data were used to analyze soil erosion in the basin. Results indicate that the total sediment load from the flood was approximately 5503.1 t, with sediment concentrations showing a direct relationship with flow discharge. By completing a hysteresis loop and soil erosion level analysis, soil erosion from the river source and runoff surface scour were found to be the primary sources of sediment. The flood significantly increased particulate organic carbon and decreased dissolved organic carbon. During the flood, pCO2 ranged between 669 and 1229 ppm, indicating that the IRES served as a carbon source, with pH and total dissolved solids being the main influencing factors. The FCO2 varied between 20.16 and 568.33 mg m−2 h−1 and revealed a significant positive correlation with pCO2. After the flood ended, CO2 emissions increased and remained high for a long time. The study findings have substantial implications for IRES responses to extreme flood events, which are predicted to increase in intensity under climate change. [ABSTRACT FROM AUTHOR]

Scientometric indices help rank the impact of an article, an author, and a journal in scientific literature. Additionally, it helps to rank institutions, universities, and countries in the scientific field. There are various author‑, article‑, and journal‑level metrics provided by different service providers. It is important to know the underlying calculation method for an informed comparison between authors, articles, and journals. In this article, we described briefly some of the common author‑level metrics (h‑index, i10‑index, and g‑index), article‑level metrics (Altmetric, Dimensions, and PlumX), and journal‑level metrics (Impact Factor®, CiteScore, SCImago journal ranking, and h5‑index). [ABSTRACT FROM AUTHOR]

Background and Aims: Journal impact factor has historically been taken as a proxy for quality. However, this is open to significant manipulation and bias. There is currently not widely adopted, robust journal and paper ranking metric which is focused solely on risk of bias. Methods: Risk of bias data was extracted from all Cochrane database systematic reviews in Child Health, Lungs, and Airways for the years 2017–2019. A novel paper quality score, the Clinical Research Bias Index (CRBI), was applied. Individual paper data were pooled for each journal. A comparison was made to journal impact factors, individual paper citations, reads, and altmetric scores. Results: 927 papers were analyzed for risk of bias. 119 (12·8%) scored a CRBI of 100%, with a mean score of 70%. A journal's overall CRBI risk of bias score was poorly correlated with impact factor (r 0.25). Citations (r 0.02), and reads (r 0.01) of individual papers showed very little association with the paper's risk of bias. Likewise, reads were not correlated with citations (r 0.03). H‐index and Altmetric scores were similarly poorly correlated with CRBI. Conclusion: The novel research quality tool CRBI demonstrates the poor correlation between journal impact factor, citations, and risk of bias. Journal and paper ranking metrics should ensure that they are fit for purpose, and enable the dissemination of high‐quality research for the benefit of patients. We propose the CRBI as a potential solution which is resistant to manipulation and will reward the creation and publication of bias‐free research. [ABSTRACT FROM AUTHOR]

In this study, the phonographic view of the acceleration of scientific publishing in Türkiye has been revealed with TÜBİTAK/DergiPark data and the values of the measurements of the impact factors of scientific journals have been sampled with the SOBIAD Index data. SOBIAD Index dataset was used in the study. Using the "full count" research method, the data were analyzed by providing access to the entire mass, which is the research population, based on purposeoriented descriptive analysis. In the calculation of the impact factors of the articles in the SOBIAD index, multiple parameters such as the total number of citations of the articles in the journal, citation comparison (percentage) and area-weighted citation impact, new metric joint values and the similarity criteria in the content evaluation were determined. In the study, the measurement and evaluation standards of international impact factor measuring institutions (WOS-SSCI, Google Scholar, Eigenfactor Metrix and Elsevier/Scopus Index) were also used. According to the results of the research, while the average value of the impact factors of scientific journals in Türkiye is 0.19, this is seen as 6,19 in WOS-SSCI. With the research, the examination of the impact factors of scientific journals and articles in Türkiye was presented as an original review through the SOBIAD index sample. In order to increase the quality and impact factor of journal/article in academic publishing in Türkiye, qualified growth is required rather than quantitative growth. [ABSTRACT FROM AUTHOR]

Coal mining can cause significant local environmental damage while driving the regional economy of an area. The key index of net primary productivity (NPP) measures the amount of energy made available in an ecosystem and serves as a useful metric for understanding vegetation restoration in mining areas. This study used a CASA model to estimate the vegetation NPP of the Ordos area of the Shendong coal fields from 2000 to 2019. Model output, human factors, and regional meteorological data were subjected to trend analysis, significance testing, partial correlation analysis, and residual analysis. The NPP data generated by a CASA model inversion approximated measured data to a reasonable degree. The average annual NPP of the vegetation in the study area from 2000 to 2019 was 44.51 g C/m2 a. In general, NPP showed a fluctuating upward trend, with slower increases before 2011 and more rapid increases after 2011. The trend exhibited considerable spatial heterogeneity. Areas with increasing NPP accounted for 21.54% of the study area and occurred mainly in the Dongsheng District, the Kangbashi District, and areas bordering the Ejin Horo Banner. Analysis detected consistent spatial variation between NPP and each factor in the study area. NPP is positively correlated with precipitation and human activities and negatively correlated with air temperature. The change in vegetation cover depended on both human activity and meteorological conditions. In terms of the strength of influence on vegetation NPP, human activity exceeded climate, followed by temperature and precipitation. Although the NPP of vegetation in the region directly affected by coal mining shows a trend of improvement, it is still lower than that in the natural growing region. In the next step, the ecological restoration of vegetation should be further strengthened to achieve regional ecological balance. [ABSTRACT FROM AUTHOR]

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Competing Interests: None

Introduction: While there are no widely accepted diversity, equity, and inclusion (DEI) metrics for journals, geographic and sex diversity across a journal's editorial board may provide a surrogate measure of its commitment to DEI. We explored the association between journal quality and DEI metrics for cardiothoracic surgery (CTS) journals and investigated whether editorial diversity correlates with diversity across published articles., Methods: We collected the following data for 30 CTS journals: country of publication (categorized by income level), journal quality metrics (citation-based metrics, e.g., impact factor (IF) or H-index), and sex and geographic representation across editorial boards and published articles. Bivariate correlations between numeric variables were assessed using Spearman's correlation., Results: Female representation across editorial boards was 12.1%. Most editorial board members belonged to the United States (35.2%), with only 7.4% from the lower-middle-income countries and 0% from low-income countries. IF showed a strong positive correlation with female editorial representation (r = 0.70) but an inverse correlation with low- and middle-income countries (LMICs) editorial representation (r = -0.45). Female editorial representation demonstrated a significant positive correlation with female first authorship (r = 0.45), whereas LMIC editorial representation correlated strongly with LMIC corresponding authorship (r = 0.85)., Conclusion: Women and researchers from LMICs are in the minority across editorial boards of CTS journals. However, a strong correlation between journal H-index and female editorial representation indicates that top-ranked journals are spearheading efforts to improve equitable sex-based and gender representations. Similar efforts are required to ensure more global geographic representation across editorial boards and top-ranked CTS journals are the best placed to lead by example., (© 2024 International Society of Surgery/Société Internationale de Chirurgie (ISS/SIC).)

Against the backdrop of global climate change and the "dual carbon" target, cities have a significant responsibility to achieve carbon reduction targets. As a crucial urban agglomeration in northern China, effectively balancing economic growth with CO 2 emission reduction to achieve high-quality economic development remains a significant challenge that the Beijing-Tianjin-Hebei region should address both presently and in the future. The objective of this study is to utilize nighttime lighting data and energy consumption information to quantify the CO 2 emissions of diverse cities within the Beijing-Tianjin-Hebei region spanning from 2006 to 2020. The research aims to analyze the spatial progression patterns of CO 2 emissions across these urban centers, identify key determinants and their interrelations, and delve into the underlying mechanisms pivotal for advancing carbon mitigation strategies within urban agglomerations. The results indicate that: with an exception in Beijing where CO 2 emissions slightly decreased compared to 2006, CO 2 emissions increased across cities in the Beijing-Tianjin-Hebei region by 2020. High-value CO 2 emission areas are primarily concentrated in central of the study area, exhibiting negative spatial correlation characteristics. Based on its urban development positioning, it is imperative for the Beijing-Tianjin-Hebei urban agglomeration to formulate and implement carbon reduction strategies on innovative development, industrial upgrading, and ecological protection among other aspects towards coordinated low-carbon development., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

As economic development advances, there is an increasing focus on improving health conditions, making healthcare expenditure a critical issue worldwide. In China, healthcare spending has shown a marked upward trend, highlighting the importance of understanding its underlying determinants to guide effective policy-making. This study introduces the application of an SV-TVP-FAVAR model to examine the drivers of healthcare expenditure in China from 2007 to 2022. The analysis reveals that economic factors, demographic composition, and policy interventions significantly influence healthcare spending dynamics. Economic growth is strongly linked to increased healthcare expenditure, with economic factors having a particularly pronounced impact during periods of prosperity. Although an aging population drives greater demand for healthcare, the growth rate of healthcare spending has not kept pace with demographic aging, especially following China's economic slowdown. Policy variables present a dual-edged impact: while increased fiscal outlays contribute to budget deficits, limiting the fiscal space for healthcare investment, government emphasis on scientific and technological progress tends to enhance healthcare spending, indicating a synergistic relationship between these areas. Furthermore, the study identifies a prolonged impact of the COVID-19 pandemic on healthcare expenditure, which continues to interact with other driving factors over an extended period. The empirical findings from this research provide crucial evidence to support the development of informed healthcare policies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Ge, Cai and Hu.)

[Purpose/Significance] By building a new model of influencing factors of E-resource performance evaluation and quantifying the influence path weight coefficient of each factor, the purpose of this study is to optimize the performance evaluation system of electronic resources, establish an improved and reasonable resource evaluation weight scale system, and promote the efficient and reasonable procurement of electronic resources in libraries. [Method/Process] Based on two important evaluation systems, EQUINOX and ARL E-metrics, the resource transmission system around and based on the performance evaluation of electronic resources is established, and the measurement dimensions of influencing factors and performance evaluation are defined and refined; the influencing factors model of E-resource performance evaluation is constructed by empirical analysis and the path weights of influencing factors are quantified. [Results/Conclusions] The influencing factors of E-resource performance evaluation are studied and verified, and a more scientific and comprehensive model of influencing factors of Eresource performance evaluation in libraries is constructed, and the suggestions for improving performance evaluation are put forward.

This study investigation is intended to research the dynamic response of horizontally curved bridges under heavy vehicle loads. Most of the main factors that affect the bridge dynamic response due to moving vehicles are considered. An improved 3D grid model, based on commercial software ANSYS Mechanical APDL, is developed for the analysis of curved bridges following the 3D shear-flexibility grillage analyzing method. A simplified numeric method, considering the effect of random road roughness and its velocity term, is developed for solving the interaction problem. With the model and numerical method presented, a series of parametric studies are conducted to study the curved bridge dynamic interaction. Based on the investigation of determining factors of curve bridge dynamic interaction, the expression of the upper-bound envelop for impact factors of maximum deflection is given with different surface conditions and highway speed limits as a function of bridge fundamental frequency or bridge central angle. A study is conducted on comparing these empirical equations and serval other major design codes, comments and suggestions are then made based on the discoveries.

Abstract The contribution of intermittent rivers and ephemeral streams (IRES) to the global carbon cycle has largely been overlooked. Flood events can impact hydrological processes, carbon (C) transport, and carbon dioxide (CO2) emissions. This study monitored river flow and sediment concentrations in an intermittent river during a flood event. Water samples were measured for water quality factors and C transport indices. CO2 partial pressure (pCO2) and CO2 flux (FCO2) were also analyzed. Remote sensing data were used to analyze soil erosion in the basin. Results indicate that the total sediment load from the flood was approximately 5503.1 t, with sediment concentrations showing a direct relationship with flow discharge. By completing a hysteresis loop and soil erosion level analysis, soil erosion from the river source and runoff surface scour were found to be the primary sources of sediment. The flood significantly increased particulate organic carbon and decreased dissolved organic carbon. During the flood, pCO2 ranged between 669 and 1229 ppm, indicating that the IRES served as a carbon source, with pH and total dissolved solids being the main influencing factors. The FCO2 varied between 20.16 and 568.33 mg m−2 h−1 and revealed a significant positive correlation with pCO2. After the flood ended, CO2 emissions increased and remained high for a long time. The study findings have substantial implications for IRES responses to extreme flood events, which are predicted to increase in intensity under climate change.

As in every field of scientific research, publication of new findings is a fundamental task of botanical investigations. Since its launching in 1944, Botanical Sciences (formerly Boletín de la Sociedad Botánica de México), the scientific periodical of the Botanical Society of Mexico, has played a major role in the dissemination of botanical knowledge, with a strong emphasis on Mexican plants and vegetation. In this essay, whose preparation was propelled by the publication of the 100th Volume of Botanical Sciences in 2022, we revisit this scientific periodical’s trajectory for almost eight decades of activity, during which it has become an honorable member of an international assembly of journals devoted to publishing research in all botanical subdisciplines. On this ground, we reflect on its future, pondering the challenges it faces, the need to adjust to emerging circumstances, and the opportunities created by current national and international editorial practices. Additionally, we provide a brief overview of the contents of the contributions included in this Special Issue, with emphasis on the main conclusions drawn by their authors. We hope that these articles will become key references guiding future work in their respective botanical subdisciplines.

Abstract Background and Aims Journal impact factor has historically been taken as a proxy for quality. However, this is open to significant manipulation and bias. There is currently not widely adopted, robust journal and paper ranking metric which is focused solely on risk of bias. Methods Risk of bias data was extracted from all Cochrane database systematic reviews in Child Health, Lungs, and Airways for the years 2017–2019. A novel paper quality score, the Clinical Research Bias Index (CRBI), was applied. Individual paper data were pooled for each journal. A comparison was made to journal impact factors, individual paper citations, reads, and altmetric scores. Results 927 papers were analyzed for risk of bias. 119 (12·8%) scored a CRBI of 100%, with a mean score of 70%. A journal's overall CRBI risk of bias score was poorly correlated with impact factor (r 0.25). Citations (r 0.02), and reads (r 0.01) of individual papers showed very little association with the paper's risk of bias. Likewise, reads were not correlated with citations (r 0.03). H‐index and Altmetric scores were similarly poorly correlated with CRBI. Conclusion The novel research quality tool CRBI demonstrates the poor correlation between journal impact factor, citations, and risk of bias. Journal and paper ranking metrics should ensure that they are fit for purpose, and enable the dissemination of high‐quality research for the benefit of patients. We propose the CRBI as a potential solution which is resistant to manipulation and will reward the creation and publication of bias‐free research.

In order to improve the bearing capacity of a bridge under dynamic impact and at the same time to improve the durability and safety of the bridge, the bridge should be jacked up, and most of the current research on bridge jacking upgrading is on synchronous jacking upgrading. There has been little research on single-pier jacking upgrading, especially the dynamics response problem under single-pier jacking upgrading of the bridge. This paper is based on the principle of vehicle–bridge coupling, and the vehicle was analyzed at different speeds by using the established model, vehicle weight, and multi-lane driving, comparing the dynamic response of the bridge before and after the single-pier jacking retrofit. The study analyzed the impact of the bridge single-pier jacking retrofit on the bridge impact coefficient, and evaluated the impact coefficient of the bridge from the perspective of dynamics. A comprehensive evaluation of the bridge single-pier jacking retrofit project was carried out. The following conclusions are drawn: the single-pier jacking modification of the bridge increased the bridge’s capacity under dynamic impact and also enhanced the durability and safety of the bridge.

With increasing urbanisation, urban household electricity consumption (UHEC) has become the most dynamic aspect of China's energy growth. However, existing studies suffer from outdated data, a small scope, and a lack of research into new influencing factors. There are significant challenges to the promotion of urban household energy-efficiency strategies, which may arise from the intervention of several new inter-provincial differences and other influencing factors. To better understand the variability, volatility characteristics, and influencing factors of change in provincial UHEC, this study analyses and assesses the influencing factors based on an extended STIRPAT model of Chinese provincial panel data from 2005 to 2020. The findings revealed rapid increases in provincial urban household electricity consumption and significant provincial differences in UHEC in China stemming from variation in economic level and energy use. Urbanisation, income, the size of the older population, and area per capita contributed to household electricity consumption. Conversely, household size, heating days (HDD), and air conditioning dampened household electricity consumption. However, television and cooling days (CDD) did not accurately explain the variation in household electricity use in this study. Finally, this study suggests targeted policy recommendations that could promote the implementation of energy-efficiency strategies in Chinese urban households. [ABSTRACT FROM AUTHOR]

Background: Twitter journal clubs are a modern way of highlighting articles published in a scientific journal. The Neurocritical Care journal (NCC) initiated a bimonthly, Twitter-based, online journal club in 2015 to increase the outreach of its published articles. We hypothesize that articles included in the Neurocritical Care Society Twitter Journal Club (NCSTJC) had greater engagement than other articles published during the same time period. We also investigated the relationship between number of citations and Altmetric score to assess whether the enhanced online activity resulted in higher citations. Methods: We gathered data in August 2020 on engagement metrics (number of downloads, Altmetric score, relative citation ratio, and number of citations) of all articles published in NCC between 2015 and 2018. Articles were analyzed into two groups: one featured in NCSTJC and the rest that were not (non-NCSTJC1), and the other comprised those that were not in NCSTJC but published under a similar category of articles as NCSTJC (non-NCSTJC2). Results were analyzed using descriptive statistics, and summary measures were used to report the spread. The groups were compared by using the Wilcoxon rank sum test, given that the data were not normally distributed. Spearman's rank correlation was used to assess correlation between Altmetric score and citations for the articles in the NCSTJC and non-NCSTJC groups. For comparison, the top ten cited articles in NCC were analyzed for similar correlations. Results: Between 2015 and 2018, NCC published 529 articles, 24 of which were included in the Twitter journal club. A total of 406 articles were published in the same category as the category of articles selected for NCSTJC. The articles discussed as a part of NCSTJC had a statistically significant trend toward a higher number of downloads, Altmetric score, relative citation ratio, and number of citations than rest of the articles published in the journal during the same time period and the rest of the articles published in same categories. Three NCSTJC articles were among the ten most-cited articles published by NCC between 2015 and 2018. We did not find a correlation between Altmetric scores and number of citations in the NCSTJC or non-NCSTJC1 or non-NCSTJC2 group, but there was a strong correlation between these two variables in high performing articles when the top ten cited articles were analyzed. Conclusions: Scientific journals are evolving their social media strategies in attempt to increase the outreach of their articles to the medical community. Platforms such as Twitter journal clubs can enhance such engagement. The long-term influence of such strategies on the impact factor of a medical journal and traditional engagement metrics, such as citations, calls for further research. [ABSTRACT FROM AUTHOR]

Background: Musculoskeletal conditions are the leading contributor to global healthcare expenditure and with an increase in ageing global population, this number is projected to rise further. Objectives: To determine the top 100 most-cited studies in field of musculoskeletal rehabilitation and to conduct their bibliometric analysis. Design: Scopus was used for identification of studies, published in the field of musculoskeletal rehabilitation over last five decades. Methods: Literature search was conducted in February 2021 with final Boolean search phrases being: [(musculoskeletal) and (rehabilitation) and (musculoskeletal rehabilitation)]. In addition to number of citations, data was also collected for other variables such as title of study, topic of discussion, subdivisions of clinical and applied science involved in conduction of study, study design, journal and its impact factor, year of publication, and country where study was conducted. Results: The top 100 most-cited articles in musculoskeletal rehabilitation over the last 50 years were published between 1973 and 2015. Total number of citations was 24,366, with an average of 243.66 citations per paper. Highest citation was reported by a paper on treatment of low back pain by Waddell G. The decade of 2000–2009 contributed maximum articles with highest number of publications from journal "Archives of Physical Medicine and Rehabilitation". Most of the publications were from United States and most common topic to feature among these articles was "Strength training". Conclusions: This study identifies the top 100 most-cited articles in musculoskeletal rehabilitation and provides insight into its historical trends while serving as a guide for future research. [ABSTRACT FROM AUTHOR]

The urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) is a key area to promote the central region rise and the green development of the Yangtze River Economic Belt. In this paper, an evaluation index system was comprehensively constructed for the green development level of the UAMRYR from five aspects: resource utilization, green environment, green economy, green life, and support mechanisms. Entropy weight-TOPSIS method and multivariate statistical method, including spatial autocorrelation analysis and geographic detectors, were used to analyze the regional differences and influencing factors of the green development level of the UAMRYR from 2008 to 2018. The results showed that: (1) the overall green development level of the UAMRYR showed a fluctuating upward trend from 2008 to 2018, among which the provincial capital cities such as Wuhan, Changsha, and Nanchang, as well as the cities covered by the Poyang Lake urban agglomeration had relatively higher green development levels. (2) The green development level of the 31 cities in the UAMRYR showed insignificant spatial heterogeneity within the study period. Compared with other areas, the green development levels varied greatly among the regions of the Wuhan metropolitan area, which was a typical high-low aggregation type. (3) Green economy, green life, and support mechanisms were the highly influential aspects of the green development of the UAMRYR, and the main influencing factors were the total value added of secondary and tertiary industries, urbanization rate, and fixed asset investment. The explanatory power of the interaction of influencing factors on the green development of the UAMRYR was greater than that of a single factor. This study is intended to provide a reference for the green transformation development and the coordinated development of the "resources-environment-economy" in the UAMRYR. [ABSTRACT FROM AUTHOR]

The Delegated Proof of Stake (DPoS) consensus mechanism uses the power of stakeholders to not only vote in a fair and democratic way to solve a consensus problem, but also reduce resource waste to a certain extent. However, the fixed number of member nodes and single voting type will affect the security of the whole system. In order to reduce the negative impact of the above problems, a new consensus algorithm based on vague set and node impact factors is proposed. We first use fuzzy values to calculate the ratings of all nodes and initially determine the number of agent nodes according to the preset threshold value. Then, we judge whether a secondary screening is needed. If needed, calculating the nodes' impact factor based on their neighboring nodes, and combining their impact factors with adjacency votes to further distinguish the nodes with the same fuzzy value. In addition, we analyze the dynamic changes in the composition and scale of the agent node set and give its ideal size through testing. Finally, we compare the proposed algorithm with DPoS algorithm and existing fuzzy set-based algorithms in different scales and network structures. Results show that no matter in what kind of network structures, the effectiveness of the proposed algorithm is improved. Among which, the most noticeable improvement is seen in complex network structures. [ABSTRACT FROM AUTHOR]

Soil salinization is a major eco-environmental problem in irrigated agro-ecosystems. Understanding regional soil salinity spatial patterns and seasonal dynamics and their driving factors under changing environments is beneficial to managing soil salinity to maintain agricultural production in arid agricultural areas. To better investigate this topic, soil salinity was measured, ranging from topsoil to the depth of 1.8 m in an irrigation district with 68 sampling sites before and after the crop growing seasons of the dry year of 2017 and wet year of 2018. Soil texture, groundwater table depth, groundwater salinity, and crop type were monitored. The results indicated that an increase in soil salinity in the root zone (0–0.6 m) was accompanied by a decrease in soil salinity in the deep soil (0.6–1.8 m) through the crop growing season due to water movement from the deep layer to shallow layer, whereas the opposite trend was observed during the fallow seasons. During the dry year, the area with soil desalted was measured to be 19.89%, 14.42%, and 2.78% lower at depths of 0–0.6 m, 0.6–1.2 m, and 1.2–1.8 m than that during the wet year. The groundwater table depth in the crop growing season had the least impact on the change in root zone soil salinity (p > 0.05). Interactions between crop types and groundwater table depth had a significant effect on the change of soil salinity in the root zone during the growing season of the dry year, but were insignificant during the wet year. Crop types, groundwater table depth, and climate conditions determined the contribution of shallow groundwater to crop water consumption and, to a greater extent, soil salinity. Regression tree analysis showed that groundwater salinity and soil texture had a greater influence on soil salinity than groundwater table depth and land elevation. The effect of groundwater on soil salinity is strongly related to soil texture, and the salinity of fine-textured soil was 36–54% greater than that of coarse-textured soil due to large capillary action. Therefore, we suggest strengthening groundwater management in areas with fine-textured soil to relieve soil salinization, particularly during dry years. [ABSTRACT FROM AUTHOR]

There is a world of information at our disposal, and it is increasingly difficult to transform this dull amount of data into knowledge. How to be constantly actualized? This study aims to create an altmetric list of the top 50 articles related to COVID-19 and oral health. Research of terms COVID-19 and oral health was done using Dimensions app. Results were ranked in altmetric citations and analyzed through Microsoft Excel. Some tables and graphics were created. Graphical illustration of keywords was created using VOSviewer. Some interesting facts can be seen, like growing interest in dental aerosols, perspectives, and virucidal activity of some mouthwashes. Altmetric analysis is a helpful manner to scientific updates, supplementing bibliometric analysis. A terrific manner to see trends. The scientific community goes to great lengths to solve problems with dental aerosols, particularly to reduce contamination. Some adjustments to dental office and the use of barriers are recommended. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Educational Media & Library Sciences is the property of Journal of Educational Media & Library Sciences, Department of Information & Library Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper we present "superior identification index" (SII), a metric to quantify the capability of academic journals to recognize top papers restricted by specific time window and study field. Intuitively, SII is the percentage of papers from a journal in the top p% papers in the field. SII provides flexible framework to make trade-offs on journal quality and quantity, as p rises it puts more weight on quantity and less weight on quality. Concerns on the p selection are discussed, and extended metrics of SII, including superior identification efficiency (SIE) and paper rank percentile (PRP), were proposed to sketch other dimensions of journal performance. Based on bibliometric data from ecological field, we find that as p increases, the correlation between SIE and JIF first rises then drops, indicating that JIF might most likely reflect "how well a journal identifies the top 26–34% papers in the field". Hopefully, the new proposed SII metric and its extensions could promote the quality awareness and provide flexible tools for research evaluation. [ABSTRACT FROM AUTHOR]

Copyright of Bibliothecae.it is the property of University of Bologna and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In September 2020, the new Editors of the European Heart Journal (EHJ) wrote the following in their inaugural editorial: "The fundamental mission of the Journal remains the reduction of the global burden of cardiovascular disease. We aspire to advance this aim by worldwide teamwork to communicate practice-changing research, inspire clinical cardiologists, and pursue rigour and transparency in the application of science at the service of human health. The Journal will strive to lead the field in its impact, influence, and reach". After more than one year of experience the Editors hope the cardiological community will agree that they are fulfilling this mission. As stewards of the EHJ, the Editor's primary goal is not solely to achieve a high Impact Factor (which attests to the scientific quality and influence of our publications) but also to elevate the practice of cardiovascular medicine worldwide. Accordingly, various initiatives of the EHJ strive to strengthen further links among Editors, Authors, Reviewers and Readers through a series of coordinated and diverse activities, including webinars, active social media presence, and active participation at congresses worldwide. The Editors are proud to serve one of the most important scientific journals in cardiovascular medicine. [ABSTRACT FROM AUTHOR]

On the occasion of the diamond jubilee of Radiochimica Acta (RCA), this article briefly describes the progress made by the journal during the last 10 years; a detailed account of the developments during the first 50 years having been given earlier (Radiochimica Acta 2012, 100, 483–492). Publishing responsibility for the journal was taken over in 2014 by Walter De Gruyter, a traditional German publishing company founded in 1749. This allowed RCA also to maintain its established traditional standard of publishing. Being broad-based, the journal encompasses all chemical aspects of nuclear science and technology. It has kept pace with the changing trends in radiochemical research. Today, besides fundamental nuclear chemistry, applied topics, such as chemical behaviour and mobility of actinides and fission products, accelerator-based radiochemistry, development of novel radiochemical techniques, study of radiation chemical effects, etc., are well represented. The journal is supported by a group of international Editors and Advisors who are distinguished radiochemists themselves. It follows a strict peer-review system and is assisted by a network of about 500 referees. About 200 manuscripts are received per year, out of which 40–45% are rejected. The impact factor (IF) of RCA is comparable to those of other radiochemistry-related journals, but the cited half-life (CHL) of RCA is by far the highest of all related journals. A list of top highly cited 100 articles has been provided alongside this article. In the past, most of the articles originated from Europe and North America, but in recent years the number of contributions from China and several developing countries has been increasing. All articles are published in English, and the journal is presently available to read both online and in a printed format. [ABSTRACT FROM AUTHOR]

The general concept of bibliometric equilibrium is introduced, and a model that describes its particular case is proposed. This model considers a set of authors choosing strategies for submitting articles to a set of journals, considering the probabilities of accepting the articles and the rewards received. The amount of remuneration depends on the journal ratings formed as a result of the decisions made. A bibliometric equilibrium in such a system (which is a modification of the Nash equilibrium) exists under natural assumptions. In a particular case, remuneration and citation strategies may depend on a priori perceptions of the quality of the journals. The conditions under which the equilibrium corresponds to these perceptions are discussed. Several directions for the development of the theory of publication systems are outlined, within which authors, editors of journals, and coordinators of scientific research interact. [ABSTRACT FROM AUTHOR]

Abstract Objectives Review abstracts presented at the Combined Otolaryngology Society Meeting (COSM) to determine subsequent publication and identify abstract features predictive of publication in high impact journals. Methods A selection of abstracts accepted in the 2015 COSM scientific programs were retrospectively reviewed. MEDLINE searches via PubMed and Google Scholar were performed to determine publication rates. The Journal of Citation Reports was used to determine impact factors for published abstracts. Binomial regression analyses were used to identify factors related to publication in high impact journals. Results 62.4% of reviewed abstracts (n = 623) were subsequently published, with a mean publication time of 14 ± 12 months. Abstract features predictive of publication were basic science type, other science type, prospective studies, multi‐institutional involvement, and presentation at the American Laryngologic Association and American Otologic Society meetings. Based on Wald score, podium presentation was found to have the biggest effect on publication. Factors positively associated with publication in high impact (impact factor > 2.272) journals were increased author number and sample size. Conclusions Overall publication rate of abstracts selected for presentation at COSM in 2015 was on the higher end of previously reported otolaryngology meetings. Abstracts detailing basic science, other science, prospective and multi‐institutional studies were more likely to lead to future publication. Additionally, increased number of authors and sample size lead to publication in higher impact journals. Level of Evidence N/A.