World-ranking performance in judo athletes with visual impairment: An approach considering sport classes and weight categories

The objective of this study was to analyze the ranking scores in Paralympic judo athletes in different visual impairment classifications (B1, B2, and B3) and describe the frequency of athletes of each classification allocated in the first five and last five positions in the ranking list. A total of 488 judo athletes with visual impairment (332 male and 156 female) took part in this study. Data were extracted from the Official Ranking List, documented and organized by the International Blind Sports Federation, and analyzed according to sport classes (B1, B2, and B3) and weight categories. One-way analysis of variance was used to compare the scores among different groups. The main results showed that B1 athletes presented lower total and best scores compared to B2 and B3 counterparts in both female ( p = .020, p < .001, respectively) and male groups ( p = .010, p = .005, respectively). In addition, when analyzing the ranking list position, there was a higher percentage of B1 athletes in the last five positions in female (60%) and male groups (60%) than B2 and B3 athletes. Investigations about classification and competitive system can assist coaches and sports organizations to identify the appropriateness of the ranking system scores adopted for athletes with visual impairment. Our findings showed some issues when considering competitive programming that includes all visual impairment classes in the same category.

OED and EDD: comparison of the printed and online versions

This paper revisits the issue of the opaque interrelationship between the English Dialect Dictionary (EDD) and the Oxford English Dictionary (OED). While work on OED3, the online version, has been in progress since 2000, the EDD was digitised in three phases between 2006 and 2019. EDD 3.0, with its sophisticated interface, was launched in April 2019. This paper ventures to question the OED’s policy of providing or omitting source evidence for some of its data. After a survey of the unequal aims and structures of the two dictionaries from their beginnings down to the end of OED2 (1989), the focus of the paper is on their relationship with regard to the two online versions, first as described by recent OED editors, and then by examining the interfaces. A quantitative analysis of the lexical variants attributed to Worcestershire in the two dictionaries is used as a test case to show that OED3 has borrowed more data from EDD (Online) than the OED entries attest and the ranking-list of sources misleadingly suggests. The paper critically analyses the OED’s practice of providing source evidence only for quotations, but generally not for (dialectal) variants.

Association Loss and Self-Discovery Cross-Camera Anchors Detection for Unsupervised Video-Based Person Re-Identification

With the continuous improvement and development of cameras network, surveillance video has become the data source of the column stream, which greatly promotes the development of cross-camera person re-identification (Re-ID). However, supervised learning requires a lot of effort to manually label cross-cameras pairwise training data, which is lack of scalability and practical in actual video surveillance because there is a lack of well-labeled pairs of positive and negative samples under each camera. For addressing these negative effects, we set judgment conditions by using the association ranking method to self-discover positive and negative track-lets pairs of anchors with none of the pairwise ID labels, thereby defining a triplet loss. In order to optimize association loss for learning effective discriminative feature, the triplet loss adds adaptive weights according to the degree of easy-hard samples to generate an Adaptive Weighted Conditional Triplet Loss. Besides, for increasing the accuracy of self-discovering cross-camera anchors independently, which means successfully mine mutually best-matched track-lets and merge them under cross-camera, we use the top-rank from the intra-camera ranking list as a self-matched query sample which can double verify the matched-degree between top-rank. And eventually, we establish a new Association Loss and Self-Discovery Learning (ALSL) model with a complete end-to-end manner. We use three standard datasets, PRID2011, iLIDS-VID and MARS, to train the model and the experimental results prove that ALSL rank-1 is better than some superior video-based unsupervised person Re-ID methods.

Protection Strategy against an Epidemic Disease on Edge-Weighted Graphs Applied to a COVID-19 Case

Among the diverse and important applications that networks currently have is the modeling of infectious diseases. Immunization, or the process of protecting nodes in the network, plays a key role in stopping diseases from spreading. Hence the importance of having tools or strategies that allow the solving of this challenge. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in immunizing nodes in an edge-weighted network with 3866 nodes and 6,841,470 edges. The network is obtained from a real database and the spread of COVID-19 was modeled with the classic SIR model. We apply the protection to the network, according to the importance ranking list produced by DIL-Wα, considering different protection budgets. Furthermore, we consider three different values for α; in this way, we compare how the protection performs according to the value of α.

Scimago Institutions Rankings for the Assessment of National Education System and Particular University

The article analyzes the results of the Scimago Institutions Rankings for the entire period of its existence and presents the detailed description of the rating methodology and necessary condition for the inclusion in the ranking list, i.e. the publication of more than 100 works by university stuff in the Scopus database. There has been an almost twofold increase in the number of universities in the ten-year ranking lists. The article illustrates the dynamics for a number of countries and analyzes the reasons for their shifts. The competition between China and the United States is demonstrated. It is noted how the adoption of political decisions, such as the “May decrees” in the Russian Federation or projects “211”, “985” in China increase the number of universities in the country participating in the ratings. Such countries as Vietnam, Iran, Indonesia succeeded in multiplying their positions in the university rankings. The article estimates the rate of growth in the number of publications for university in order to maintain its position in the scientometric rankings. The research conducts the analysis of the time required by the ranking agencies to implement and reflect the changes initiated by state competitiveness improvement programs.

Wealth Rheology

We study wealth rank correlations in a simple model of macroeconomy. To quantify rank correlations between wealth rankings at different times, we use Kendall’s τ and Spearman’s ρ, Goodman–Kruskal’s γ, and the lists’ overlap ratio. We show that the dynamics of wealth flow and the speed of reshuffling in the ranking list depend on parameters of the model controlling the wealth exchange rate and the wealth growth volatility. As an example of the rheology of wealth in real data, we analyze the lists of the richest people in Poland, Germany, the USA and the world.

Global ranking of knowledge management and intellectual capital academic journals: a 2021 update

Purpose The purpose of this study is to update a global ranking list of 28 knowledge management and intellectual capital (KM/IC) academic journals. The list should be periodically updated because the pool of active KM/IC researchers changes, researchers adjust their journal perceptions, citation indices change and new journals appear while others become discontinued. Design/methodology/approach The ranking list was created based on a survey of 463 active KM/IC researchers and journal citation impact metrics (the h-index and the g-index). Findings Journal of Knowledge Management and Journal of Intellectual Capital are ranked A+, followed by The Learning Organization, Knowledge Management Research & Practice, VINE: The Journal of Information and Knowledge Management Systems, Knowledge and Process Management and International Journal of Knowledge Management which are ranked A. VINE, Electronic Journal of Knowledge Management and Online Journal of Applied Knowledge Management have shown the most improvement. The recently established Journal of Innovation & Knowledge has demonstrated a strong performance. Practical implications KM/IC discipline stakeholders may consult and use the ranking list for various purposes, but they should do so with caution. Highly ranked journals are quite likely to have the Clarivate’s Journal Impact Factor or be included in the Clarivate’s Emerging Sources Citation Index. A journal’s longevity is strongly correlated with its citation metrics and is moderately correlated with expert survey scores. Interdisciplinarity is the natural state of the KM and IC research domains, and it should be embraced by the research community. Originality/value This study presents the most up-to-date ranking list of KM/IC academic journals.