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The microflora of Herrgård cheese produced at three dairies was grouped by phenotypical key tests and typed by randomly amplified polymorphic DNA (RAPD). Ten cheeses from the same vat at each dairy were analysed, five after 3 and another five after 6 months of ripening. All cheeses were organoleptically graded as Herrgård after uniform national standards, and only small but characteristic differen
This study uses multitemporal Landsat Thematic Mapper data and topographic data for the purpose of classifying coniferous forest damage in the Czech Republic using an artificial neural network. Comparing the neural network-based classification with earlier studies and a multinominal logistic regression using identical training and test data indicates that the back propagation algorithm is comparab
The adsorption and surfactant induced removal of T4 lysozyme was studied by in situ ellipsometry. Two proteins were investigated, wild type T4 lysozyme and a mutant protein where isoleucine 3 had been replaced by tryptophan (tryptophan mutant). The amount adsorbed is higher for the wild type protein than for the tryptophan mutant at the protein concentration employed (0.2 mg/mL). Furthermore, the
The adsorption of β-lactoglobulin onto methylated silica surfaces and the subsequent protein removal by the anionic surfactant sodium dodecyl sulphate (SDS) were followed using in-situ ellipsometry. Experiments were performed at pH 6.0 in phosphate-buffered saline solution. Parameters varied include temperature, length of time for protein adsorption from solution and surface residence time of β-la
Primary proteolysis was studied in a starter-free cheese model made from microfiltered (MF) milk (19.0% casein,<0.2% whey proteins). Specificity of plasmin and chymosin activity was investigated in the pH range 5.0–6.0, by analysis of peptide composition using high-performance liquid chromatography and liquid chromatography–mass spectrometry. Hydrolysis experiments with purified caseins were perfo
The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate lingu
The ENVRI-FAIR project brings together the ESFRI environmental research infrastructures (ENVRI) that provide environmental data and services, with the aim of making their resources compliant to the FAIR principles. To achieve this goal , the required work is mostly technical, with the ENVRIs working towards not only improving the FAIRness of their own data and services, but also reflecting their e
ENVRI-FAIR is the connection of the ESFRI Cluster of Environmental Research Infrastructures (ENVRI) to the European Open Science Cloud (EOSC). The high-impact ambition of ENVRI-FAIR is to establish the technical preconditions for the successful implementation of a virtual, federated machine-to-machine interface to access environmental data and services provided by the contributing ENVRIs. This int
This deliverable focuses on capturing the current status of testing and validation of services from the RI’s and ENVRI-Hub itself, that are both exposed to EOSC. This means that services are in scope that are shared via the ENVRI Catalogue of Services to the EOSC marketplace. The EOSC validation activities will check the readiness of the ENVRI-FAIR services at the sub-domain and cluster level for
D5.5 “Guidelines for validation of ENVRI-FAIR services” formulates the criteria and test plan for validating the overall quality of the ENVRI-FAIR services and summarises the guidelines for testing and validating the functionality of the services developed in WP8-WP11 in synergy with WP7. The criteria will allow the developers of the ENVRI data services to validate the results towards the EOSC cat
Meteorological drought is a common hydrological hazard that affects human life. It is one of the significant factors leading to water and food scarcity. Early detection of drought events is necessary for sustainable agricultural and water resources management. For the catchments with scarce meteorological observatory stations, the lack of observed data is the main leading cause of unfeasible susta
The Qinghai-Tibet Plateau (QTP) serves as the source of many large rivers in Asia, and also serves as a natural habitat for rare wildlife and a genetic reservoir for plateau species. The exceptional ecological environment of the QTP has fostered diverse fish species. However, due to climate change and human activities, fish species in this area are facing serious threats, while large spatial scale
This study addresses a challenging problem of predicting mean annual precipitation across arid and semi-arid areas in northern Algeria, utilizing deterministic, geostatistical (GS), and machine learning (ML) models. Through the analysis of data spanning nearly five decades and encompassing 150 monitoring stations, the result of Random Forest showed the highest training performance, with R square v
Addressing intertwined crises of climate change and biodiversity loss is a pressing global challenge, with trees playing pivotal roles in promoting carbon sequestration and habitat diversity. However, there is a distinct knowledge gap concerning the global drivers shaping tree cover and its heterogeneity, particularly the roles and relative importance of large herbivores and fire compared to clima
Meropenem-ciprofloxacin combination therapy was compared to the respective monotherapy in a Hollow-Fiber Infection Model against two Pseudomonas aeruginosa isolates. Following initial kill of ; 5-logs by each monotherapy, rapid regrowth occurred within 24 h, reaching 108 - 1010 CFU/mL at 120 h. In contrast, combination therapy achieved . 5-log kill within 6 h and suppressed bacterial regrowth thro
Rainfall is a primary factor for agricultural production, especially in a rainfed agricultural region. Its accurate prediction is therefore vital for planning and managing farmers’ plantations. Rainfall plays an important role in the symmetry of the water cycle, and many hydrological models use rainfall as one of their components. This paper aimed to investigate the applicability of six machine le
In this paper we look at the adaption of SI-PASS programmes during the COVID-19 pandemic drawing from four Higher Education Institutions (HEIs) as case studies: The National University of Ireland (NUI) Galway in Ireland, Nord University in Norway, Lund University in Sweden and the University of Manchester in the UK. The paper also focuses on the role of SI-PASS in student engagement in an extraord
Ecosystems capture carbon dioxide (CO2) from the atmosphere and store it in vegetation and soil. They also release CO2 via plant and soil respiration or fires. If the CO2 uptake is larger than the release, an ecosystem acts as a net sink. This delicate balance can be easily disturbed by human actions such as cutting forests, clearing green areas for housing or roads, or by agricultural practices d
Torrential rainfall predisposes hills to catastrophic landslides resulting in serious damage to life and property. Landslide inventory maps are therefore essential for rapid response and developing disaster mitigation strategies. Manual mapping techniques are laborious and time-consuming, and thus not ideal in rapid response situations. Automated landslide mapping from optical satellite imagery us
