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Journal articles on the topic 'Article-level-metrics'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Chamberlain, Scott. "Consuming Article-Level Metrics: Observations and Lessons." Information Standards Quarterly 25, no. 2 (2013): 4. http://dx.doi.org/10.3789/isqv25no2.2013.02.

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2

von Graberg, Till. "Article‐level Metrics, Transparency and Open Research." Advanced Energy and Sustainability Research 4, no. 1 (2023): 2200195. http://dx.doi.org/10.1002/aesr.202200195.

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3

Lin, Jennifer, and Martin Fenner. "The many faces of article-level metrics." Bulletin of the American Society for Information Science and Technology 39, no. 4 (2013): 27–30. http://dx.doi.org/10.1002/bult.2013.1720390409.

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4

Handel, M. J. P. "Article-level metrics - it's not just about citations." Journal of Experimental Biology 217, no. 24 (2014): 4271–72. http://dx.doi.org/10.1242/jeb.117150.

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5

Mering, Margaret. "Bibliometrics: Understanding Author-, Article- and Journal-Level Metrics." Serials Review 43, no. 1 (2017): 41–45. http://dx.doi.org/10.1080/00987913.2017.1282288.

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Citrome, L. "Moving forward with article level metrics: introducing altmetrics." International Journal of Clinical Practice 69, no. 8 (2015): 811. http://dx.doi.org/10.1111/ijcp.12706.

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Fenner, Martin. "What Can Article-Level Metrics Do for You?" PLoS Biology 11, no. 10 (2013): e1001687. http://dx.doi.org/10.1371/journal.pbio.1001687.

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Trajkovski, Vladimir. "THE ROLE OF ARTICLE LEVEL METRICS IN SCIENTIFIC PUBLISHING." Journal of Special Education and Rehabilitation 17, no. 1-2 (2016): 5. http://dx.doi.org/10.19057/jser.2016.0.

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Gordon, Gregg, Jennifer Lin, Richard Cave, and Ralph Dandrea. "The Question of Data Integrity in Article-Level Metrics." PLOS Biology 13, no. 8 (2015): e1002161. http://dx.doi.org/10.1371/journal.pbio.1002161.

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Neylon, Cameron, and Shirley Wu. "Article-Level Metrics and the Evolution of Scientific Impact." PLoS Biology 7, no. 11 (2009): e1000242. http://dx.doi.org/10.1371/journal.pbio.1000242.

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Adie, Euan, and William Roe. "Altmetric: enriching scholarly content with article-level discussion and metrics." Learned Publishing 26, no. 1 (2013): 11–17. http://dx.doi.org/10.1087/20130103.

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Tóth, István, Zsolt I. Lázár, Levente Varga, et al. "Mitigating ageing bias in article level metrics using citation network analysis." Journal of Informetrics 15, no. 1 (2021): 101105. http://dx.doi.org/10.1016/j.joi.2020.101105.

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Lin, Jennifer, and Martin Fenner. "Altmetrics in Evolution: Defining and Redefining the Ontology of Article-Level Metrics." Information Standards Quarterly 25, no. 2 (2013): 20. http://dx.doi.org/10.3789/isqv25no2.2013.04.

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14

Liu, Jean, and Euan Adie. "New perspectives on article-level metrics: developing ways to assess research uptake and impact online." Insights: the UKSG journal 26, no. 2 (2013): 153–58. http://dx.doi.org/10.1629/2048-7754.79.

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Das, AnupKumar, and Sanjaya Mishra. "Genesis of altmetrics or article-level metrics for measuring efficacy of scholarly communications: Current perspectives." Journal of Scientometric Research 3, no. 2 (2014): 82. http://dx.doi.org/10.4103/2320-0057.145622.

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Yan, Koon-Kiu, and Mark Gerstein. "The Spread of Scientific Information: Insights from the Web Usage Statistics in PLoS Article-Level Metrics." PLoS ONE 6, no. 5 (2011): e19917. http://dx.doi.org/10.1371/journal.pone.0019917.

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Shah, Jay N. "Author-level metrics: Its impact on scholarly output evaluation among various publication metrics." Journal of Patan Academy of Health Sciences 8, no. 2 (2021): 1–5. http://dx.doi.org/10.3126/jpahs.v8i2.28877.

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Publication metrics indicate the visibility and reach of a research publication. The metrics can be at article-level, author-level, and journal-level to measure the scholarly output and its impact. Bibliometrics is the use of statistical methods to analyze various publications mostly used in the field of library and information science; whereas, scientometrics is the sub-field concerned with the science of metrics for the measurement and analysis of scholarly publications. Readers are not always well informed about the various publication metrics, and use them without knowing how to interpret

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Cao, Yining, Feng Zhou, Elizabeth M. Pulver, et al. "Towards standardized metrics for measuring takeover performance in conditionally automated driving: A systematic review." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 1065–69. http://dx.doi.org/10.1177/1071181321651213.

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A particular concern with SAE Level 3 automated vehicles is the takeover transition from the automated vehicle to the driver. Prior research has employed a wide range of metrics for measuring takeover performance. However, the lack of a set of standard metrics for measuring takeover performance makes it difficult to consolidate findings and summarize the influence of different factors. This article presents a review of the metrics employed in empirical literature examining takeover transitions in Level 3 automated driving and proposes a framework for standardizing the objective takeover perfor

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Du, Jian, Xiaoli Tang, and Yishan Wu. "The effects of research level and article type on the differences between citation metrics and F1000 recommendations." Journal of the Association for Information Science and Technology 67, no. 12 (2015): 3008–21. http://dx.doi.org/10.1002/asi.23548.

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Balaji, B., and M. Dhanamjaya. "Preprints in Scholarly Communication: Re-Imagining Metrics and Infrastructures." Publications 7, no. 1 (2019): 6. http://dx.doi.org/10.3390/publications7010006.

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Digital scholarship and electronic publishing within scholarly communities change when metrics and open infrastructures take center stage for measuring research impact. In scholarly communication, the growth of preprint repositories as a new model of scholarly publishing over the last three decades has been one of the major developments. As it unfolds, the landscape of scholarly communication is transitioning—with much being privatized as it is made open—and turning towards alternative metrics, such as social media attention, author-level, and article-level metrics. Moreover, the granularity o

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Kotarba, Marcin. "Measuring Digitalization – Key Metrics." Foundations of Management 9, no. 1 (2017): 123–38. http://dx.doi.org/10.1515/fman-2017-0010.

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Abstract The article covers an analysis of metrics used to measure digitalization activities. Five main levels are analyzed - moving from the metrics of the digital economy to society, industry, enterprise, and clients. The study is based on leading public and commercial metrics used for the evaluation of the digital progress. The similarities and differences between key performance indicators on each level are discussed, forming a set of conclusions on the scope and maturity of various measurement systems and potential improvement options.

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Chiu, Iris H.-Y. "The EU Sustainable Finance Agenda: Developing Governance for Double Materiality in Sustainability Metrics." European Business Organization Law Review 23, no. 1 (2022): 87–123. http://dx.doi.org/10.1007/s40804-021-00229-9.

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AbstractThis article argues that the regulatory steers in the recent EU Sustainable Disclosure and Taxonomy Regulations rely heavily on the outworking of market-based governance to meet public interest goals in sustainable finance. Hence, additional work in sustainability metrics development that informs the investment sector of sustainable performance in companies would be of key importance. This article argues that there remain gaps in EU leadership for governing metrics development, and suggests that EU-level governance can be designed appropriately, especially in a multi-stakeholder manner

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Rees, Tomas. "Obtaining meaningful insights from publication metrics." Medical Writing 31, no. 4 (2022): 50–53. http://dx.doi.org/10.56012/vjht8689.

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Altmetrics and other article-level metrics offer new opportunities to understand the impact of medical publications and, indeed, clinical trial programmes. For example, we can learn whether the publication has been viewed, shared, engaged with, or cited on different platforms. These metrics have limitations, but new tools and techniques for aggregating and summarising different metrics are making it easier for publication planners to understand the impact of their publications.

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Gaillat, Thomas, Antoine Lafontaine, and Anas Knefati. "Visualizing Linguistic Complexity and Proficiency in Learner English Writings." CALICO Journal 40, no. 2 (2023): 178–97. http://dx.doi.org/10.1558/cj.19487.

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In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of complexity metrics is also evaluated. A learner corpus of English classified according to the Common European Framework of References for Languages (CEFR) was processed using a pipeline that computes 83 complexity metrics. By way of analysis of variance (ANO

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Purkayastha, Amrita, Eleonora Palmaro, Holly J. Falk-Krzesinski, and Jeroen Baas. "Comparison of two article-level, field-independent citation metrics: Field-Weighted Citation Impact (FWCI) and Relative Citation Ratio (RCR)." Journal of Informetrics 13, no. 2 (2019): 635–42. http://dx.doi.org/10.1016/j.joi.2019.03.012.

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26

Khan, Bilal, and Aamer Nadeem. "Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction." PeerJ Computer Science 9 (November 27, 2023): e1647. http://dx.doi.org/10.7717/peerj-cs.1647.

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The occurrence of faults in software systems represents an inevitable predicament. Testing is the most common means to detect such faults; however, exhaustive testing is not feasible for any nontrivial system. Software fault prediction (SFP), which identifies software components that are more prone to errors, seeks to supplement the testing process. Thus, testing efforts can be focused on such modules. Various approaches exist for SFP, with machine learning (ML) emerging as the prevailing methodology. ML-based SFP relies on a wide range of metrics, ranging from file-level and class-level to me

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Baker, Erin, Sanya Carley, Sergio Castellanos, et al. "Metrics for Decision-Making in Energy Justice." Annual Review of Environment and Resources 48, no. 1 (2023): 737–60. http://dx.doi.org/10.1146/annurev-environ-112621-063400.

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Energy equity and justice have become priority considerations for policymakers, practitioners, and scholars alike. To ensure that energy equity is incorporated into actual decisions and analysis, it is necessary to design, use, and continually improve energy equity metrics. In this article, we review the literature and practices surrounding such metrics. We present a working definition for energy justice and equity, and connect them to both criteria for and frameworks of metrics. We then present a large sampling of energy equity metrics, including those focused on vulnerability, wealth creatio

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ROGOVA, Tat'yana N. "Indicative assessment of the financial and economic security of the area: Practical approval of the method." Regional Economics: Theory and Practice 19, no. 11 (2021): 2141–57. http://dx.doi.org/10.24891/re.19.11.2141.

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Subject. This article considers the financial and economic security of an area as a complex system. Objectives. The article aims to develop and test a methodology for assessing regional financial and economic security based on a system of indicators divided into metrics. Methods. For the study, I used a statistical analysis and the indicative approach. Results. The article defines the integral safety factors of the Ulyanovsk Oblast, as well as a set of indicators and their threshold values for financial and economic security metrics. Conclusions. The article notes that the number of negative f

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29

Oses, Noelia, Jon Kepa Gerrikagoitia, and Aurkene Alzua. "Modelling and prediction of a destination’s monthly average daily rate and occupancy rate based on hotel room prices offered online." Tourism Economics 22, no. 6 (2016): 1380–403. http://dx.doi.org/10.5367/te.2015.0491.

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Tourism metrics are essential for managing a destination. Hotel performance metrics such as average daily rate and occupancy rate are two of the most prominent metrics for the industry. The authors’ research group works on developing methods for estimating tourism metrics based on digital footprint. Data available publicly on the Internet, including hotel room prices, are collected daily. This article shows that the prices offered online have a high positive correlation with those reported by official statistics at the Nomenclature of Units for Territorial Statistics 2 level after the online p

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30

Singh, Rajvir, Anita Singhrova, and Rajesh Bhatia. "Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software." International Journal of Open Source Software and Processes 9, no. 3 (2018): 15–35. http://dx.doi.org/10.4018/ijossp.2018070102.

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Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO

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Sespedes Garsiya, P. D., and N. V. Sespedes Garsiya. "Attributive model of software dependability assessment." Mathematical machines and systems 1 (2022): 106–19. http://dx.doi.org/10.34121/1028-9763-2022-1-106-119.

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The article is dedicated to the development of an attributive model of the dependable software, defining the metrics for dependable software, and the development of an object-independent universal approach to attributes assessment and dependable software metrics. The attributive model of the dependable software (AMDS) is designed by analogy with the attributive model for dependable computer systems (CS) and expanded by special attributes and metrics of CS software for critical purposes. Different areas of the national economy have developed their own industry standards for the creation of safe

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Ortega, Jose Luis. "Exploratory analysis of Publons metrics and their relationship with bibliometric and altmetric impact." Aslib Journal of Information Management 71, no. 1 (2019): 124–36. http://dx.doi.org/10.1108/ajim-06-2018-0153.

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Purpose The purpose of this paper is to analyse the metrics provided by Publons about the scoring of publications and their relationship with impact measurements (bibliometric and altmetric indicators). Design/methodology/approach In January 2018, 45,819 research articles were extracted from Publons, including all their metrics (scores, number of pre and post reviews, reviewers, etc.). Using the DOI identifier, other metrics from altmetric providers were gathered to compare the scores of those publications in Publons with their bibliometric and altmetric impact in PlumX, Altmetric.com and Cros

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33

Omitola, Tope, and Gary Wills. "Developing a Framework and an Instrument for Measuring System Openness." International Journal of Organizational and Collective Intelligence 10, no. 3 (2020): 55–96. http://dx.doi.org/10.4018/ijoci.2020070104.

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This article describes the process of developing a framework and an instrument for measuring and ascertaining the openness of a system applicable to system architectures and their implementations. Our process includes an in-depth review of pertinent literature in the areas of Open Systems and Open Architecture, followed by a selection of the appropriate methodology to use. We chose the Goal-Question-Metric (GQM) methodology to allow us to select relevant goals, factors and metric that can be used to measure a system's level of openness. The article details these goals, factors and metrics. We

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Radionov, Timofei, Anton Mikhalev, Aleksandr Kuznetsov, and Denis Mityukhin. "A unified approach for measuring the level of service of transport infrastructure." E3S Web of Conferences 471 (2024): 01010. http://dx.doi.org/10.1051/e3sconf/202447101010.

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This article aims to discuss the problem of road traffic management and the criteria for its measurement. The article uses the concept of service level as the most important characteristic in the assessment of transport infrastructure. The differences in approaches to determining the level of service in the world practice are considered. The problem is outlined of non-uniform metrics used to measure the level of service for various road elements in existing methodologies. A comparison is made of the assessment of the level of service of a traffic lane in the Russian and foreign approaches in t

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Chanchí Golondrino, Gabriel Elías, Manuel Alejandro Ospina Alarcón, and Wilmar Yesid Campo Muñoz. "Proposal for a fuzzy logic-based system to determine cardiovascular risk." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6058. http://dx.doi.org/10.11591/ijece.v12i6.pp6058-6067.

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<span lang="EN-US">One of the key variables to determine the level of cardiovascular risk is the heart rate variability, which associates different metrics such as average of the RR intervals (average RR), standard deviation of the RR intervals (SDRR) and percentage of differences greater than 50 ms in RR intervals (pRR50). Given that these metrics make use of different measurement units, scales, and ranges, it is necessary to determine an output risk level in intelligible terms, taking as input the values of each one of them. Thus, this article proposes the development of a system based

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Gabriel, Elías Chanchí Golondrino, Alejandro Ospina Alarcón Manuel, and Yesid Campo Muñoz Wilmar. "Proposal for a fuzzy logic-based system to determine cardiovascular risk." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6058–67. https://doi.org/10.11591/ijece.v12i6.pp6058-6067.

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One of the key variables to determine the level of cardiovascular risk is the heart rate variability, which associates different metrics such as average of the RR intervals (average RR), standard deviation of the RR intervals (SDRR) and percentage of differences greater than 50 ms in RR intervals (pRR50). Given that these metrics make use of different measurement units, scales, and ranges, it is necessary to determine an output risk level in intelligible terms, taking as input the values of each one of them. Thus, this article proposes the development of a system based on fuzzy logic to determ

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37

Radant, Olaf, and Vladimir Stantchev. "Metrics for the Management of IT Personnel." International Journal of Human Capital and Information Technology Professionals 9, no. 2 (2018): 32–51. http://dx.doi.org/10.4018/ijhcitp.2018040103.

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This article describes how because of the ongoing demographic development in most European countries, especially IT-companies, need to find a way to retain or gain productivity with the same or less amount of employees. Therefore, the allocation of available resources in the best possible way is even more important. The challenge for companies is to improve the enterprise not only on the side of the organizational and process level, but to develop new strategies and approaches in human resource management. In this article, the authors propose metrics of a framework to manage scarce resources i

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Bora, Abhijit, and Tulshi Bezboruah. "Some Aspects of Implementation of Web Services in Load Balancing Cluster-Based Web Server." International Journal of Information Retrieval Research 10, no. 1 (2020): 48–72. http://dx.doi.org/10.4018/ijirr.2020010104.

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We have designed, developed, and implemented SOAP-based web services in load balancing cluster-based web server and carried out load testing over the system. The roles of web services, such as client, broker, and service provider are segregated among different services. The system is monitored through a load testing tool, Mercury LoadRunner. The recorded system metrics are evaluated to study the overall performance and reliability aspects against different massive level of users. This article presents in detail the system architecture, testing methodology, and recorded system metrics. The stat

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Niquil, Nathalie, Matilda Haraldsson, Télesphore Sime-Ngando, Philippe Huneman, and Stuart R. Borrett. "Shifting levels of ecological network's analysis reveals different system properties." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1796 (2020): 20190326. http://dx.doi.org/10.1098/rstb.2019.0326.

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Network analyses applied to models of complex systems generally contain at least three levels of analyses. Whole-network metrics summarize general organizational features (properties or relationships) of the entire network, while node-level metrics summarize similar organization features but consider individual nodes. The network- and node-level metrics build upon the primary pairwise relationships in the model. As with many analyses, sometimes there are interesting differences at one level that disappear in the summary at another level of analysis. We illustrate this phenomenon with ecosystem

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40

Hallur, Jayanna. "Significant Advances in Application Resiliency: The Data Engineering Perspective on Network Performance Metrics." Journal of Technology and Systems 6, no. 7 (2024): 60–71. https://doi.org/10.47941/jts.2408.

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Purpose: The purpose of the article is to explore how network metrics like latency, packet loss, and throughput, combined with application logs, can help organizations improve the reliability and performance of their applications. It focuses on how these insights support Site Reliability Engineering (SRE) teams in proactively addressing issues to achieve better application resiliency, enhancing user experience and market trust. Methodology: The article uses a combination of case studies and analysis to demonstrate how monitoring specific network metrics and application logs helps identify and

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Herzke, Carrie A., Henry J. Michtalik, Nowella Durkin, et al. "A Method for Attributing Patient-Level Metrics to Rotating Providers in an Inpatient Setting." Journal of Hospital Medicine 13, no. 7 (2017): 470–75. http://dx.doi.org/10.12788/jhm.2897.

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BACKGROUND: Individual provider performance drives group metrics, and increasingly, individual providers are held accountable for these metrics. However, appropriate attribution can be challenging, particularly when multiple providers care for a single patient. OBJECTIVE: We sought to develop and operationalize individual provider scorecards that fairly attribute patient-level metrics, such as length of stay and patient satisfaction, to individual hospitalists involved in each patient’s care. DESIGN: Using patients cared for by hospitalists from July 2010 through June 2014, we linked billing d

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Joty, Shafiq, Francisco Guzmán, Lluís Màrquez, and Preslav Nakov. "Discourse Structure in Machine Translation Evaluation." Computational Linguistics 43, no. 4 (2017): 683–722. http://dx.doi.org/10.1162/coli_a_00298.

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In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding correlation with human judgments both at the segment level and at the system level. This suggests that discourse information is complementary to the infor

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Doynikova, Elena, Andrey Fedorchenko, Igor Kotenko, and Evgenia Novikova. "Security Assessment Methodology Based on the Semantic Model of Metrics and Data." Voprosy kiberbezopasnosti, no. 1(41) (2021): 29–40. http://dx.doi.org/10.21681/2311-3456-2021-1-29-40.

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The purpose of the article: development of semantic model of metrics and data and technique for security assessment based on of this model to get objective scores of information system security. Research method: theoretical and system analysis of open security data sources and security metrics, semantic analysis and classification of security data, development of the security assessment technique based on the semantic model and methods of logical inference, functional testing of the developed technique. The result obtained: an approach based on the semantic model of metrics and data is propose

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Friedrich, Maik, and Christoph Möhlenbrink. "How to Evaluate Remote Tower Metrics in Connection With Weather Observations." Aviation Psychology and Applied Human Factors 8, no. 2 (2018): 100–111. http://dx.doi.org/10.1027/2192-0923/a000142.

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Abstract. Owing to the different approaches for remote tower operation, a standardized set of indicators is needed to evaluate the technical implementations at a task performance level. One of the most influential factors for air traffic control is weather. This article describes the influence of weather metrics on remote tower operations and how to validate them against each other. Weather metrics are essential to the evaluation of different remote controller working positions. Therefore, weather metrics were identified as part of a validation at the Erfurt-Weimar Airport. Air traffic control

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45

Williams, Valerie. "Should In Vitro Fertilization Policies Use the Body Mass Index?" Perspectives in Biology and Medicine 68, no. 1 (2025): 37–53. https://doi.org/10.1353/pbm.2025.a953452.

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abstract: Current guidance from the American Society for Reproductive Medicine (ASRM) and the American College of Obstetricians and Gynecologists (ACOG) indicates that body mass index (BMI) ought not be used alone for in vitro fertilization (IVF) exclusionary policies, but the reasons for using BMI alongside other criteria are less clear. This article aims to fill a gap in the literature on this point and follow the findings to a logical conclusion regarding the role of BMI in IVF policies of the future. The article discusses why BMI might be useful in IVF policies, explores evidence that othe

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Sakhbieva, Amina I., Malika D. Yusupova, and Zarema A. Magazieva. "FRONTEND PERFORMANCE AND ITS CONTRIBUTION TO THE USER’S MACROECONOMIC «COST OF WAITING»." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/13, no. 158 (2025): 6–13. https://doi.org/10.36871/ek.up.p.r.2025.05.13.001.

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The article examines the impact of frontend performance of web applications on user behavior and its macroeconomic consequences through the prism of the “cost of waiting” concept. The author analyzes key performance metrics (LCP, INP, CLS, etc.) that determine the speed of rendering and interactivity of interfaces, and demonstrates their relationship with user metrics — conversion, bounces, session depth. Based on empirical data from A/B tests, reports from large IT companies and scientific research, the economic feasibility of investing in optimizing the client side of web applications is sub

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Bassi, Welson. "Development of a Comprehensive Software for Automated Decision-Making in Impulse Testing of Power Transformers, Including a Review of Practices from Analog to Digital." Energies 18, no. 1 (2025): 156. https://doi.org/10.3390/en18010156.

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Power transformers are fundamental components in electrical grids, requiring robust insulation to operate reliably under various abnormal conditions, including overvoltages caused by lightning or switching. As defined by existing standards, the Basic Insulation Level (BIL) or Switching Insulation Level (SIL) of a transformer validates its reliability through impulse testing. These tests presume linearity in the overall system and equipment being tested. They compare waveforms at reduced and full impulse levels to detect or enhance insulation failures. Traditionally, this relies on visual inspe

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Reddy, Vonteru Srikanth, and Kumar Debasis. "Statistical Review of Health Monitoring Models for Real-Time Hospital Scenarios." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7s (2023): 465–81. http://dx.doi.org/10.17762/ijritcc.v11i7s.7025.

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Health Monitoring System Models (HMSMs) need speed, efficiency, and security to work. Cascading components ensure data collection, storage, communication, retrieval, and privacy in these models. Researchers propose many methods to design such models, varying in scalability, multidomain efficiency, flexibility, usage and deployment, computational complexity, cost of deployment, security level, feature usability, and other performance metrics. Thus, HMSM designers struggle to find the best models for their application-specific deployments. They must test and validate different models, which incr

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Yeremenko, Oleksandra, and Ganna Pliekhova. "Investigation of secure routing models based on basic vulnerability metrics in SDN networks." Problemi telekomunìkacìj, no. 2(31) (February 16, 2023): 34–50. http://dx.doi.org/10.30837/pt.2022.2.03.

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The article presents and investigates flow-based models of secure routing under base score metrics of vulnerability criticality in Software-Defined Networks (SDN). The analysis of the routing means functionality against possible attacks confirmed the perspective of their application, taking into account the base score metrics of vulnerability criticality to increase the level of network security of the SDN data plane. It is proposed to improve the existing secure routing model taking into account the base score metrics of vulnerability criticality by modifying the routing metrics so that the r

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Molebatsi, Palesa, and Tristan McCowan. "Indicators of Higher Education and the Public Good in Africa: A Dashboard Approach." Journal of Higher Education in Africa 20, no. 2 (2022): 185–210. http://dx.doi.org/10.57054/jhea.v20i2.2731.

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Indicators and metrics have gained increasing prominence in international higher education in recent years, and global rankings have become a powerful force in shaping ideas of what the university is and should be. Yet these measures do a poor job of capturing the broad role of the institution, and particularly in recognising its actions in promoting the public good and addressing inequalities. African higher education institutions have struggled to perform well in the conventional rankings, whose indicators rely on extensive resources for high-level research. This article explores the possibi

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