Using Deep Convolutional Neural Networks to Predict Goal-Scoring Opportunities in Soccer

Deep learning approaches have successfully been applied to several image recognition tasks, such as face, object, animal and plant classification. However, almost no research has examined on how to use the field of machine learning to predict goal-scoring opportunities in soccer from position data. In this paper, we propose the use of deep convolutional neural networks (DCNNs) for the above stated problem. This aim is actualized using the following steps: 1) development of novel algorithms for finding goal-scoring opportunities and ball possession which are used to obtain positive and negative examples. The dataset consists of position data from 29 matches played by a German Bundlesliga team. 2) These examples are used to create original and enhanced images (which contain object trails of soccer positions) with a resolution size of $256 \times 256$ pixels. 3) Both the original and enhanced images are fed independently as input to two DCNN methods: instances of both GoogLeNet and a 3-layered CNN architecture. A K-nearest neighbor classifier was trained and evaluated on ball positions as a baseline experiment. The results show that the GoogLeNet architecture outperforms all other methods with an accuracy of 67.1%

Single introductions of soil biota and plants generate long-term legacies in soil and plant community assembly

Recent demonstrations of the role of plant-soil biota interactions have challenged the conventional view that vegetation changes are mainly driven by changing abiotic conditions. However, while this concept has been validated under natural conditions, our understanding of the long-term consequences of plant- soil interactions for above-belowground community assembly is restricted to mathematical and conceptual model projections. Here, we demonstrate experimentally that one-time additions of soil biota and plant seeds alter soil-borne nematode and plant community composition in semi-natural grassland for 20 years. Over time, aboveground and belowground community composition became increasingly correlated, suggesting an increasing connectedness of soil biota and plants. We conclude that the initial composition of not only plant communities, but also soil communities has a long-lasting impact on the trajectory of community assembly

After-life effects: Living and dead invertebrates differentially affect plants and their associated above- and belowground multitrophic communities

Plant science

Technology and Society in Equilibrium:

This sector portrait of the design engineering sciences describes the common denominator of the various design disciplines in the Netherlands. In a future sector plan, the above investment areas will be further explored and purposefully developed. The implementation of technological innovations aligned to societal issues encompasses a design challenge. This increasingly demands science-based design methodologies. The broad Dutch design landscape can fulfil the role of connector well in this regard. In order to optimally strengthen this bridging function, three areas for further investment have been identified: Research More research and research funding are needed to meet the design challenges posed by Dutch societal missions, as well as for the further development of Key Enabling Methodologies (KEMs) as the basis for effective design. Educational Capacity Expanded teaching capacity and further development of design-driven didactics are needed to meet the growing demand for designers, This demand stems from the emerging need for design approaches in new research programmes within Horizon Europe and the Dutch Research Council (NWO). Access to Technology Continuous access to the rapidly evolving technological disciplines must be guaranteed for professionals who can both understand the technology and meet the investigative design challenge

Technologie en Maatschappij in Balans:

Dit sectorbeeld van de ontwerpende ingenieurswetenschappen beschrijft de grote gemeenschappelijke deler van de verschillende ontwerpdisciplines in Nederland. In aanloop naar het schrijven van dit sectorbeeld hebben we gezamenlijk bepaald waar onze sterkte ligt, en waar we concreet kunnen bijdragen aan het oplossen van maatschappelijke knelpunten. Implementatie van technologische innovaties in aansluiting op maatschappelijke uitdagingen omvat een ontwerpopgave. Dit vereist in toenemende mate wetenschappelijk onderbouwde ontwerpmethodieken. Het brede Nederlandse ontwerplandschap kan hierbij de rol van verbinder goed vervullen. Teneinde deze brugfunctie optimaal te versterken worden drie gebieden voor verdere investeringen gezien: Onderzoek Er is meer onderzoek en onderzoeksfinanciering nodig voor het volbrengen van ontwerpuitdagingen die in de Nederlandse maatschappelijke missies worden gesteld, evenals voor de verdere ontwikkeling van Key Enabling Methodologies als basis voor effectief ontwerp. Onderwijscapaciteit Er is een ruimere onderwijscapaciteit en verdere ontwikkeling van ontwerp gestuurde didactiek nodig om te kunnen voldoen aan de groeiende vraag naar ontwerpers, een vraag die voortkomt uit de opkomende behoefte aan ontwerpaanpakken in nieuwe onderzoeksprogramma’s binnen Horizon Europe en NWO. Toegang tot technologie Er moet voortdurend toegang gegarandeerd zijn tot de zich snel ontwikkelende technologische disciplines voor professionals die zowel de technologie doorgronden als de onderzoekende ontwerpuitdaging aankunnen. Dit sectorbeeld van de ontwerpende ingenieurswetenschappen beschrijft de grote gemeenschappelijke deler van de verschillende ontwerpdisciplines in Nederland. In een toekomstig sectorplan zullen bovenstaande inversteringsgebieden verder en doelgericht worden uitgewerkt

Samenvatting ESBL-Attributieanalyse (ESBLAT) : Op zoek naar de bronnen van antibioticaresistentie bij de mens

Samenvatting over een project rondom ESBL's. Doelstellingen waren: vaststellen wat de bijdrage is van alle ESBL-reservoirs aan het dragerschap en infecties bij mensen en vaststellen wat de transmissieroutes zijn vanuit deze reservoirs naar de (geïnfecteerde) mens

Towards EDI Enabled Cost Efficient Supply Chain Flexibility

This paper describes a new modelling technique to visualise and assess the impact of EDI enabled process redesign options for a supply chain and its participants, both in terms of flexibility and costs. Flexibility is defined here as the ability to meet a wide variety of customer demand (versatility) in a short period of time (agility). The research claim is that supply chains and organisations are better capable of meeting a wide variety of demand, when EDI enabled process redesign options are implemented which both increase flexibility and reduce costs. Four applications of the new modelling technique, which is called the modular design approach, in the air cargo transportation industry support this clai