Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Environmental Health
Title: Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG
Abstract: Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system.
Extracted statement — has research problem: semantic interoperability support for the e-Health system
Research field: Environmental Health
Title: Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology
Abstract: The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.
Extracted statement — has research problem: Semantic Web technologies to integrate the health data and home environment data
Research field: Environmental Microbiology and Microbial Ecology
Title: The Effect of Hydroxycinnamic Acids on the Microbial Mineralisation of Phenanthrene in Soil
Abstract: The effect of hydroxycinnamic acids (caffeic, ferulic and p-coumaric acids) on the microbial mineralisation of phenanthrene in soil slurry by the indigenous microbial community has been investigated. The rate and extent of 14C–phenanthrenemineralisation in artificially spiked soils were monitored in the absence of hydroxycinnamic acids and presence of hydroxycinnamic acids applied at three different concentrations (50, 100 and 200 µg kg-1) either as single compounds or as a mixture of hydroxycinnamic acids (caffeic, ferulic and p-coumaric acids at a 1:1:1 ratio). The highest extent of 14C–phenanthrene mineralisation (P 200 µg kg-1. Depending on its concentrationin soil, hydroxycinnamic acids can either stimulate or inhibit mineralisation of phenanthrene by indigenous soil microbial community. Therefore, effective understanding of phytochemical–microbe–organic contaminant interactions is essential for further development of phytotechnologies for remediation of PAH–contaminated soils.
Extracted statement — has research problem: The effect of hydroxycinnamic acids (caffeic, ferulic and p-coumaric acids) on the microbial mineralisation of phenanthrene in soil slurry by the indigenous microbial community has been investigated.
Research field: Environmental Microbiology and Microbial Ecology
Title: The Effect of Rhizosphere Soil and Root Tissues Amendment on Microbial Mineralisation of Target 14C–Hydrocarbons in Contaminated Soil
Abstract: The effect of rhizosphere soil or root tissues amendments on the microbial mineralisation of hydrocarbons in soil slurry by the indigenous microbial communities has been investigated. In this study, rhizosphere soil and root tissues of reed canary grass (Phalaris arundinacea), channel grass (Vallisneria spiralis), blackberry (Rubus fructicosus) and goat willow (Salix caprea) were collected from the former Shell and Imperial Industries (ICI) Refinery site in Lancaster, UK. The rates and extents of 14C–hydrocarbons (naphthalene, phenanthrene, hexadecane or octacosane) mineralisation in artificially spiked soils were monitored in the absence and presence of 5% (wet weight) of rhizosphere soil or root tissues. Respirometric and microbial assays were monitored in fresh (0 d) and pre–incubated (28 d) artificially spiked soils following amendment with rhizosphere soil or root tissues. There were significant increases (P < 0.001) in the extents of 14C–naphthalene and 14C–phenanthrene mineralisation in fresh artificially spiked soils amended with rhizosphere soil and root tissues compared to those measured in unamended soils. However, amendment of fresh artificially spiked soils with rhizosphere soil and root tissues did not enhance the microbial mineralisation of 14C–hexadecane or 14C–octacosane by indigenous microbial communities. Apart from artificially spiked soil systems containing naphthalene (amended with reed canary grass and channel grass rhizosphere) and hexadecane amended with goat willow rhizosphere, microbial mineralisation of hydrocarbons was further enhanced following 28 d soil–organic contaminants pre–exposure and subsequent amendment with rhizosphere soil or root tissues. This study suggests that organic chemicals in roots and/or rhizosphere can enhance the microbial degradation of petroleum hydrocarbons in freshly contaminated soil by supporting higher numbers of hydrocarbon–degrading populations, promoting microbial activity and/or enhancing bioavailability of organic contaminants.
Extracted statement — has research problem: The effect of rhizosphere soil or root tissues amendments on the microbial mineralisation of hydrocarbons in soil slurry by the indigenous microbial communities has been investigated.
Research field: Environmental Sciences
Title: Petroleum Exploration and Production: Past and Present Environmental Issues in the Nigeria’s Niger Delta
Abstract: Petroleum exploration and production in the Nigeria’s Niger Delta region and export of oil and gas resources by the petroleum sector has substantially improved the nation’s economy over the past five decades. However, activities associated with petroleum exploration, development and production operations have local detrimental and significant impacts on the atmosphere, soils and sediments, surface and groundwater, marine environment and terrestrial ecosystems in the Niger Delta. Discharges of petroleum hydrocarbon and petroleum–derived waste streams have caused environmental pollution, adverse human health effects, socio–economic problems and degradation of host communities in the 9 oil–producing states in the Niger Delta region. Many approaches have been developed for the management of environmental impacts of petroleum production–related activities and several environmental laws have been institutionalized to regulate the Nigerian petroleum industry. However, the existing statutory laws and regulations for environmental protection appear to be grossly inadequate and some of the multinational oil companies operating in the Niger Delta region have failed to adopt sustainable practices to prevent environmental pollution. This review examines the implications of multinational oil companies operations and further highlights some of the past and present environmental issues associated with petroleum exploitation and production in the Nigeria’s Niger Delta. Although effective understanding of petroleum production and associated environmental degradation is importance for developing management strategies, there is a need for more multidisciplinary approaches for sustainable risk mitigation and effective environmental protection of the oil–producing host communities in the Niger Delta.
Extracted statement — has research problem: Activities associated with petroleum exploration, development and production operations have local detrimental and significant impacts on the atmosphere, soils and sediments, surface and groundwater, marine environment and terrestrial ecosystems in the Niger Delta.
Research field: Environmental Sciences
Title: An Overview of CMIP5 and the Experiment Design
Abstract: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades...
Extracted statement — has research problem: climate change
Research field: Environmental Sciences
Title: Wind extremes in the North Sea Basin under climate change: An ensemble study of 12 CMIP5 GCMs: WIND EXTREMES IN THE NORTH SEA IN CMIP5
Abstract: Coastal safety may be influenced by climate change, as changes in extreme surge levels and wave extremes may increase the vulnerability of dunes and other coastal defenses. In the North Sea, an area already prone to severe flooding, these high surge levels and waves are generated by low atmospheric pressure and severe wind speeds during storm events. As a result of the geometry of the North Sea, not only the maximum wind speed is relevant, but also wind direction. Climate change could change maximum wind conditions, with potentially negative effects for coastal safety. Here, we use an ensemble of 12 Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs) and diagnose the effect of two climate scenarios (rcp4.5 and rcp8.5) on annual maximum wind speed, wind speeds with lower return frequencies, and the direction of these annual maximum wind speeds. The 12 selected CMIP5 models do not project changes in annual maximum wind speed and in wind speeds with lower return frequencies; however, we do find an indication that the annual extreme wind events are coming more often from western directions. Our results are in line with the studies based on CMIP3 models and do not confirm the statement based on some reanalysis studies that there is a climate‐change‐related upward trend in storminess in the North Sea area.
Extracted statement — has research problem: climate change
Research field: Environmental Sciences
Title: Future changes of wind energy potentials over Europe in a large CMIP5 multi-model ensemble: FUTURE CHANGES OF WIND ENERGY OVER EUROPE IN A CMIP5 ENSEMBLE
Abstract: A statistical‐dynamical downscaling method is used to estimate future changes of wind energy output (Eout) of a benchmark wind turbine across Europe at the regional scale. With this aim, 22 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble are considered. The downscaling method uses circulation weather types and regional climate modelling with the COSMO‐CLM model. Future projections are computed for two time periods (2021–2060 and 2061–2100) following two scenarios (RCP4.5 and RCP8.5). The CMIP5 ensemble mean response reveals a more likely than not increase of mean annual Eout over Northern and Central Europe and a likely decrease over Southern Europe. There is some uncertainty with respect to the magnitude and the sign of the changes. Higher robustness in future changes is observed for specific seasons. Except from the Mediterranean area, an ensemble mean increase of Eout is simulated for winter and a decreasing for the summer season, resulting in a strong increase of the intra‐annual variability for most of Europe. The latter is, in particular, probable during the second half of the 21st century under the RCP8.5 scenario. In general, signals are stronger for 2061–2100 compared to 2021–2060 and for RCP8.5 compared to RCP4.5. Regarding changes of the inter‐annual variability of Eout for Central Europe, the future projections strongly vary between individual models and also between future periods and scenarios within single models. This study showed for an ensemble of 22 CMIP5 models that changes in the wind energy potentials over Europe may take place in future decades. However, due to the uncertainties detected in this research, further investigations with multi‐model ensembles are needed to provide a better quantification and understanding of the future changes.
Extracted statement — has research problem: Europe
Research field: Environmental Sciences
Title: An Overview of CMIP5 and the Experiment Design
Abstract: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades...
Extracted statement — has research problem: experiment design
Research field: Environmental Sciences
Title: Future changes of wind energy potentials over Europe in a large CMIP5 multi-model ensemble: FUTURE CHANGES OF WIND ENERGY OVER EUROPE IN A CMIP5 ENSEMBLE
Abstract: A statistical‐dynamical downscaling method is used to estimate future changes of wind energy output (Eout) of a benchmark wind turbine across Europe at the regional scale. With this aim, 22 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble are considered. The downscaling method uses circulation weather types and regional climate modelling with the COSMO‐CLM model. Future projections are computed for two time periods (2021–2060 and 2061–2100) following two scenarios (RCP4.5 and RCP8.5). The CMIP5 ensemble mean response reveals a more likely than not increase of mean annual Eout over Northern and Central Europe and a likely decrease over Southern Europe. There is some uncertainty with respect to the magnitude and the sign of the changes. Higher robustness in future changes is observed for specific seasons. Except from the Mediterranean area, an ensemble mean increase of Eout is simulated for winter and a decreasing for the summer season, resulting in a strong increase of the intra‐annual variability for most of Europe. The latter is, in particular, probable during the second half of the 21st century under the RCP8.5 scenario. In general, signals are stronger for 2061–2100 compared to 2021–2060 and for RCP8.5 compared to RCP4.5. Regarding changes of the inter‐annual variability of Eout for Central Europe, the future projections strongly vary between individual models and also between future periods and scenarios within single models. This study showed for an ensemble of 22 CMIP5 models that changes in the wind energy potentials over Europe may take place in future decades. However, due to the uncertainties detected in this research, further investigations with multi‐model ensembles are needed to provide a better quantification and understanding of the future changes.
Extracted statement — has research problem: future changes
Research field: Environmental Sciences
Title: Future changes of wind energy potentials over Europe in a large CMIP5 multi-model ensemble: FUTURE CHANGES OF WIND ENERGY OVER EUROPE IN A CMIP5 ENSEMBLE
Abstract: A statistical‐dynamical downscaling method is used to estimate future changes of wind energy output (Eout) of a benchmark wind turbine across Europe at the regional scale. With this aim, 22 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble are considered. The downscaling method uses circulation weather types and regional climate modelling with the COSMO‐CLM model. Future projections are computed for two time periods (2021–2060 and 2061–2100) following two scenarios (RCP4.5 and RCP8.5). The CMIP5 ensemble mean response reveals a more likely than not increase of mean annual Eout over Northern and Central Europe and a likely decrease over Southern Europe. There is some uncertainty with respect to the magnitude and the sign of the changes. Higher robustness in future changes is observed for specific seasons. Except from the Mediterranean area, an ensemble mean increase of Eout is simulated for winter and a decreasing for the summer season, resulting in a strong increase of the intra‐annual variability for most of Europe. The latter is, in particular, probable during the second half of the 21st century under the RCP8.5 scenario. In general, signals are stronger for 2061–2100 compared to 2021–2060 and for RCP8.5 compared to RCP4.5. Regarding changes of the inter‐annual variability of Eout for Central Europe, the future projections strongly vary between individual models and also between future periods and scenarios within single models. This study showed for an ensemble of 22 CMIP5 models that changes in the wind energy potentials over Europe may take place in future decades. However, due to the uncertainties detected in this research, further investigations with multi‐model ensembles are needed to provide a better quantification and understanding of the future changes.
Extracted statement — has research problem: multi‐model ensemble
Research field: Environmental Sciences
Title: Wind extremes in the North Sea Basin under climate change: An ensemble study of 12 CMIP5 GCMs: WIND EXTREMES IN THE NORTH SEA IN CMIP5
Abstract: Coastal safety may be influenced by climate change, as changes in extreme surge levels and wave extremes may increase the vulnerability of dunes and other coastal defenses. In the North Sea, an area already prone to severe flooding, these high surge levels and waves are generated by low atmospheric pressure and severe wind speeds during storm events. As a result of the geometry of the North Sea, not only the maximum wind speed is relevant, but also wind direction. Climate change could change maximum wind conditions, with potentially negative effects for coastal safety. Here, we use an ensemble of 12 Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs) and diagnose the effect of two climate scenarios (rcp4.5 and rcp8.5) on annual maximum wind speed, wind speeds with lower return frequencies, and the direction of these annual maximum wind speeds. The 12 selected CMIP5 models do not project changes in annual maximum wind speed and in wind speeds with lower return frequencies; however, we do find an indication that the annual extreme wind events are coming more often from western directions. Our results are in line with the studies based on CMIP3 models and do not confirm the statement based on some reanalysis studies that there is a climate‐change‐related upward trend in storminess in the North Sea area.
Extracted statement — has research problem: North sea