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opennotspecifiedSep 2021View details →

Figure 24. A–G in Taxonomy and phylogeny of the 'football stars' (Asteroidea, Sphaerasteridae)

Figure 24. A–G, Valettaster ocellatus (Forbes, 1848); A, B, interpretative drawings of NHMUK E 5012; C, D, interpretative drawings of abactinal surface of individual NHMUK E 5019. E, reconstruction of actinal surface, based on A. F, reconstructed detail of abactinal surface, to show smaller ossicles. G, reconstruction of abactinal surface, to show ossicle types. Provenance; A, B, from the Santonian, Marsupites Zone, Brighton, Sussex, UK; C, D, from the Coniacian or Santonian, coranguinum Zone, Micheldever, Hampshire, UK. Colours as in Figure 1. Note close similarity of ossicle arrangement to that of Podosphaeraster pulvinatus (Fig. 1). The interradial I-plate is arrowed. Scale bar = 10 mm.

opennotspecifiedSep 2021View details →

Figure 13. A–H, P in Taxonomy and phylogeny of the 'football stars' (Asteroidea, Sphaerasteridae)

Figure 13. A–H, P, Sphaeraster tabulatus (Goldfuss, 1833); A, actinal ossicle, to show crater-rimmed spine pits (NHMUK EE 17680); B, G, abactinal ossicles of small individuals which have smooth external faces (NHMUK EE 17682, 17683); C, D, abactinal ossicles of very small individuals (NHMUK EE 17684, 17685); E, lateral view of small abactinal plate (NHMUK EE 17686); F, abactinal ossicle with weak radial sculpture (NHMUK EE 17681); H, enlargement of sculpture of abactinal ossicle A; P, lateral view of abactinal plates of small individual, to show lack of papular pores and articulation structures (compare with Fig. 9M, N; NHMUK EE 17687). I–O, Q–S, Pouzaster pocknotata gen. et sp. nov., abactinal ossicles; I–O, paratype abactinals (I, J, NHMUK EE 17689; K, NHMUK EE 17690; L, M, NHMUK EE 17691; N, NHMUK EE 17692; O, NHMUK EE 17693; R, S, NHMUK EE 17695). Q, holotype, abactinal (NHMUK EE 17688); S, enlargement of surface detail of K. Provenance: A–H, P are from the upper Oxfordian, Hypsilum ammonite Zone, Plettenberg, near Balingen, Germany. I–O, Q–S are from the lower Bathonian, Zigzagiceras zigzag ammonite Zone at La Pouza, near La-Voulte-sur-Rhone, Ard̀eche, France. Scale bars: A, F, O = 1 mm; B–E, G, I–N, P–R = 0.5 mm; H, S = 0.2 mm.

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A neurocognitive approach to prevent non-contact anterior cruciate ligament injury in football: A scoping review

Background - Non-contact anterior cruciate ligament injuries (NC-ACLI) are becoming more common in football due to the involvement of actions such as cutting, landing, pivoting, changing directions, and jumping that expose the knee to angular stresses, rotational motions, and anterior translation force. These risk factors are addressed in the current injury prevention programs(IPP) but have shown to be less effective in further lowering NC-ACLI risk. The missing piece in these IPPs is their inability to target neurocognitive risk factors when a relationship between cognitive competencies and the mechanism of NC-ACLI is evidenced. This gap serves as the basis for the review. Purpose – To map the literature that has investigated the application of neurocognitive training (NCT) for the prevention of NC-ACLI in footballers. Study Design – Scoping Review Methods – A broad eligibility criteria was applied through population, concept, and context framework. Restrictions were applied to language (English) and age (>11 years), as the incidence rises with age. 39 databases and 4 websites were searched for literature until August 12, 2023. Four studies were included after screening the 144 studies found. Each study underwent quality assessment. The data was extracted and synthesised using data chart. Results – The reviewed studies provided comprehensive details on components of NCT with methods and provider of intervention, outcome of NCT application and the cognitive skills targeted, along with the theoretical explanations for their outcomes. The limited number of included studies despite broad eligibility criteria, indicates the emerging nature of research in this domain, corroborated by recent publication dates of included literature. Conclusion – This review provides baseline information on NCT in the prevention of NC-ACLI in football and attempts to guide future research.

opencc-zeroApr 2024View details →

dryad32/100

Football is becoming more predictable: Network analysis of 88 thousand matches in 11 major leagues

In recent years excessive monetization of football and professionalism among the players has been argued to have affected the quality of the match in different ways. On the one hand, playing football has become a high-income profession and the players are highly motivated; on the other hand, stronger teams have higher incomes and therefore afford better players leading to an even stronger appearance in tournaments that can make the game more imbalanced and hence predictable. To quantify and document this observation, in this work we take a minimalist network science approach to measure the predictability of football over 26 years in major European leagues. We show that over time, the games in major leagues have indeed become more predictable. We provide further support for this observation by showing that inequality between teams has increased and the home-field advantage has been vanishing ubiquitously. We do not include any direct analysis on the effects of monetization on football's predictability or therefore, lack of excitement, however, we propose several hypotheses which could be tested in future analyses.

opencc-zeroNov 2021View details →

opencc-by-4.0Aug 2022View details →

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football"

Data Release for Article: From Motor Control to Team Play in Simulated Humanoid Football This package releases a set of Python notebooks each reproducing a quantitative figure featured in the research article "From Motor Control to Team Play in Simulated Humanoid Football". Usage The set of notebooks can be uploaded to and executed using the <a href="https://colab.research.google.com/">Colab</a> runtime service. Alternatively, these notebook files can be executed using a <a href="https://jupyter.org/">Jupyter</a> local runtime with the following commands using <code>virtualenv</code>. <pre><code>cd dm_soccer virtualenv venv source venv/bin/activate pip install -r requirements.txt pip install notebook jupyter notebook </code></pre> Dependencies All Python notebooks are tested against Python <code>3.7</code> as well as the versioned dependencies specified in <code>requirements.txt</code>. All dependencies are satisfied by <a href="https://colab.research.google.com/">Colab</a> as of August 2022 and can be installed locally with <code>pip install -r requirements.txt</code> if using a Jupyter local runtime. License and disclaimer Copyright 2022 DeepMind Technologies Limited All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: <a href="https://www.apache.org/licenses/LICENSE-2.0">https://www.apache.org/licenses/LICENSE-2.0</a> All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: <a href="https://creativecommons.org/licenses/by/4.0/legalcode">https://creativecommons.org/licenses/by/4.0/legalcode</a> Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses. This is not an official Google product.

opencc-by-nc-1.0Jun 2021View details →

Teemu Pukki's Adidas football boot

Pukki used this boot while playing for Norwich FC in the English Championship season 2018-2019. Pukki was the Championship's top scorer (29 goals). Source: Objaverse 1.0 / Sketchfab

opencc-zeroMay 2024View details →

Towards a Comprehensive Ontology and Dataset for Football Players

Football Players Ontology and Dataset is a comprehensive resource built upon data retrieved from Transfermarkt, a leading platform for football player information. This ontology and accompanying dataset offer structured insights into football players' attributes, including position, personal information, current club, career history, to name a few. By leveraging Transfermarkt's rich repository of player data, this publication provides researchers and practitioners with a standardized framework for analyzing and categorizing football players, enabling advanced research in player profiling, talent identification, and performance analysis. Explore the ontology structure, dataset contents, and potential applications to unlock valuable insights into the world of football. The included files are: <ol> <li><code>players-transfermarkt.ttl</code>, which is the dataset</li> <li><code>players.ttl</code>, which is the ontology</li> <li><code>players.shexc</code>, which is the modelling of the entities using the Shape Expressions language</li> </ol>

opencc-by-4.0Oct 2024View details →

Dataset for "Multimodal Translation in YouTube Shorts from Spanish Football Teams"

Open the record for dataset details and reuse information.

dryad32/100

Joint angles during early sprint acceleration with wearable resistance among Australian Rules football players

Rapid acceleration is an important quality for field-based sport athletes. Technical factors contribute to greater acceleration and these can be deliberately influenced by coaches through implementation of constraints, which afford particular coordinative states or induce variability generally. Lightweight wearable resistance is an emerging training tool, which can act as a constraint on acceleration. At present, however, the effects on whole-body coordination resulting from different WR configurations and magnitudes are unknown. To better understand these effects, five male Australian Rules football athletes performed a series of 20 m sprints with either relatively light or heavy wearable resistance applied to the anterior or posterior aspects of the thighs or shanks. Whole body coordination during one complete stride in early acceleration was examined across eight wearable resistance conditions and compared with baseline (unresisted) acceleration coordination using group- and individual-level hierarchical cluster analysis. Self-organising maps and a joint-level distance matrix were used to further investigate specific kinematic changes in conditions where coordination differed most from baseline. Across the group, relatively heavy wearable resistance applied to the thighs resulted in the greatest difference to whole-body coordination compared with baseline acceleration. On average, heavy posterior thigh wearable resistance led to altered pelvic position and greater hip extension, while heavy anterior thigh wearable resistance led to accentuated movement at the shoulders in the transverse and sagittal planes. These findings offer a useful starting point for coaches seeking to use wearable resistance to promote the emergence of greater hip extension or upper body contribution during acceleration. Importantly, individuals varied in how they responded to heavy thigh wearable resistance, which coaches should be mindful of. The present findings also offer more focussed future research directions around the question of coordinative changes in response to wearable resistance, which may be investigated among larger sample groups.

opencc-zeroSep 2023View details →

Enhancing Prevention of Injuries in Community Youth and Adult Amateur Football Players

ClinicalTrials.gov study NCT06748443. IPD Sharing: YES. Countries: 1. Publications: 1.

Isometric vs Dynamic Copenhagen Adduction Exercise in Football Players

ClinicalTrials.gov study NCT07314671. IPD Sharing: YES. Countries: 0. Publications: 4.

Acute Responses to a Potentiation Warm-up Protocol in Female Football Players.

ClinicalTrials.gov study NCT06555185. IPD Sharing: YES. Countries: 1. Publications: 1.

Effect of Lyophilized Cornelian Cherry on Anaerobic Performance in Young Football Players

ClinicalTrials.gov study NCT07114341. IPD Sharing: NO. Countries: 1. Publications: 15.

Flywheel Squats Versus Free Weight High Load Squats for Explosive Actions in Football

ClinicalTrials.gov study NCT04113031. IPD Sharing: NO. Countries: 1. Publications: 1.

Resisted Sprint and Plyometric Training on Lower Limb Functional Performance in Young Adult Male Football Players.

ClinicalTrials.gov study NCT04837300. IPD Sharing: NO. Countries: 1. Publications: 1.

Myofascial Release Techniques in Football Players

ClinicalTrials.gov study NCT06959381. IPD Sharing: NO. Countries: 1. Publications: 2.

Prevention of Lower Limb and Groin Injuries: the Sport Without Injury ProgrammE (SWIPE) Football Trial

ClinicalTrials.gov study NCT04272047. IPD Sharing: YES. Countries: 1. Publications: 4.

Efficacy of Manual Therapy Combined With an Exercise Programme VS Combined Electrotherapy on Football Players With Adductor Tendinopathy

ClinicalTrials.gov study NCT04935398. IPD Sharing: NO. Countries: 1. Publications: 13.

Effects of Neuromuscular Training With K-tape in Footballer With Ankle Sprain

ClinicalTrials.gov study NCT06198270. IPD Sharing: NO. Countries: 1. Publications: 6.