Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Environmental Health
Title: Groundwater Arsenic Contamination in the Ganga-Padma-Meghna-Brahmaputra Plain of India and Bangladesh
Abstract: magnitude of arsenic groundwater contamination, and its related health effects, in the Ganga-MeghnaBrahmaputra (GMB) plain—an area of 569,749 km2, with a population of over 500 million, which largely comprises the flood plains of 3 major river systems that flow through India and Bangladesh. Design: On the basis of our 17-yr–long study thus far, we report herein the magnitude of groundwater arsenic contamination, its health effects, results of our analyses of biological and food samples, and our investigation into sources of arsenic in the GMB plain Setting: The GMB plain includes the following states in India: Uttar Pradesh in the upper and middle Ganga plain, Bihar and Jharkhand in the middle Ganga plain, West Bengal in the lower Ganga plain, and Assam in the upper Brahmaputra plain. The country of Bangladesh is located in the Padma-Meghna-Brahmaputra plain. In a preliminary study,1 we identified arsenic in water samples from hand-operated tubewells in the GMB plain. Levels in excess of 50 ppb (the permissible limit for arsenic in drinking water in India and Bangladesh) were found in samples from 51 villages in 3 arsenic-affected districts of Uttar Pradesh, 202 villages in 6 districts in Bihar, 11 villages in 1 district in Jharkhand, 3,500 villages in 9 (of a total of 18) districts in West Bengal, 2,000 villages in 50 (of a total of 64) districts in Bangladesh, and 17 villages in 2 districts in Assam. Study Populations: Because, over time, new regions of arsenic contamination have been found, affecting additional populations, the characteristics of our study subjects have varied widely. We feel that, even after working for 17 yr in the GMB plain, we have had only a glimpse of the full extent of the problem. Protocol: Thus far, on the GMB plain, we have analyzed 145,000 tubewell water samples from India and 52,000 from Bangladesh for arsenic contamination. In India, 3,781 villages had arsenic levels above 50 ppb and 5,380 villages had levels exceeding 10 ppb; in Bangladesh, the numbers were 2,000 and 2,450, respectively. We also analyzed 12,954 urine samples, 13,560 hair samples, 13,758 nail samples, and 1,300 skin scale samples from inhabitants of the arsenic-affected villages. Groundwater Arsenic Contamination in the Ganga-Padma-
Extracted statement — Study location: India
Research field: Environmental Sciences
Title: Extraction of built-up area using multi-sensor data—A case study based on Google earth engine in Zhejiang Province, China
Abstract: ABSTRACT Accurate and up-to-date built-up area mapping is of great importance to the science community, decision-makers, and society. Therefore, satellite-based, built-up area (BUA) extraction at medium resolution with supervised classification has been widely carried out. However, the spectral confusion between BUA and bare land (BL) is the primary hindering factor for accurate BUA mapping over large regions. Here we propose a new methodology for the efficient BUA extraction using multi-sensor data under Google Earth Engine cloud computing platform. The proposed method mainly employs intra-annual satellite imagery for water and vegetation masks, and a random-forest machine learning classifier combined with auxiliary data to discriminate between BUA and BL. First, a vegetation mask and water mask are generated using NDVI (normalized differenced vegetation index) max in vegetation growth periods and the annual water-occurrence frequency. Second, to accurately extract BUA from unmasked pixels, consisting of BUA and BL, random-forest-based classification is conducted using multi-sensor features, including temperature, night-time light, backscattering, topography, optical spectra, and NDVI time-series metrics. This approach is applied in Zhejiang Province, China, and an overall accuracy of 92.5% is obtained, which is 3.4% higher than classification with spectral data only. For large-scale BUA mapping, it is feasible to enhance the performance of BUA mapping with multi-temporal and multi-sensor data, which takes full advantage of datasets available in Google Earth Engine.
Extracted statement — Location: China
Research field: Environmental Sciences
Title: The ACCESS coupled model: description, control climate and evaluation
Abstract: 4OASIS3.2–5 coupling framework. The primary goal of the ACCESS-CM development is to provide the Australian climate community with a new generation fully coupled climate model for climate research, and to participate in phase five of the Coupled Model Inter-comparison Project (CMIP5). This paper describes the ACCESS-CM framework and components, and presents the control climates from two versions of the ACCESS-CM, ACCESS1.0 and ACCESS1.3, together with some fields from the 20 th century historical experiments, as part of model evaluation. While sharing the same ocean sea-ice model (except different setups for a few parameters), ACCESS1.0 and ACCESS1.3 differ from each other in their atmospheric and land surface components: the former is configured with the UK Met Office HadGEM2 (r1.1) atmospheric physics and the Met Office Surface Exchange Scheme land surface model version 2, and the latter with atmospheric physics similar to the UK Met Office Global Atmosphere 1.0 includ ing modifications performed at CAWCR and the CSIRO Community Atmosphere Biosphere Land Exchange land surface model version 1.8. The global average annual mean surface air temperature across the 500-year preindustrial control integrations show a warming drift of 0.35 °C in ACCESS1.0 and 0.04 °C in ACCESS1.3. The overall skills of ACCESS-CM in simulating a set of key climatic fields both globally and over Australia significantly surpass those from the preceding CSIRO Mk3.5 model delivered to the previous coupled model inter-comparison. However, ACCESS-CM, like other CMIP5 models, has deficiencies in various as pects, and these are also discussed.
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: The NCEP Climate Forecast System Reanalysis
Abstract: The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010. The CFSR was designed and executed as a global, high-resolution coupled atmosphere–ocean–land surface–sea ice system to provide the best estimate of the state of these coupled domains over this period. The current CFSR will be extended as an operational, real-time product into the future. New features of the CFSR include 1) coupling of the atmosphere and ocean during the generation of the 6-h guess field, 2) an interactive sea ice model, and 3) assimilation of satellite radiances by the Gridpoint Statistical Interpolation (GSI) scheme over the entire period. The CFSR global atmosphere resolution is ~38 km (T382) with 64 levels extending from the surface to 0.26 hPa. The global ocean's latitudinal spacing is 0.25° at the equator, extending to a global 0.5° beyond the tropics, with 40 levels to a depth of 4737 m. The global land surface model has four soil levels and the global sea ice m...
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics
Abstract: Abstract The formulation and simulation characteristics of two new global coupled climate models developed at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) are described. The models were designed to simulate atmospheric and oceanic climate and variability from the diurnal time scale through multicentury climate change, given our computational constraints. In particular, an important goal was to use the same model for both experimental seasonal to interannual forecasting and the study of multicentury global climate change, and this goal has been achieved. Two versions of the coupled model are described, called CM2.0 and CM2.1. The versions differ primarily in the dynamical core used in the atmospheric component, along with the cloud tuning and some details of the land and ocean components. For both coupled models, the resolution of the land and atmospheric components is 2° latitude × 2.5° longitude; the atmospheric model has 24 vertical levels. The ocean resolution is 1° in latitude and longitude, wi...
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: GFDL’s ESM2 Global Coupled Climate–Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics
Abstract: AbstractThe authors describe carbon system formulation and simulation characteristics of two new global coupled carbon–climate Earth System Models (ESM), ESM2M and ESM2G. These models demonstrate good climate fidelity as described in part I of this study while incorporating explicit and consistent carbon dynamics. The two models differ almost exclusively in the physical ocean component; ESM2M uses the Modular Ocean Model version 4.1 with vertical pressure layers, whereas ESM2G uses generalized ocean layer dynamics with a bulk mixed layer and interior isopycnal layers. On land, both ESMs include a revised land model to simulate competitive vegetation distributions and functioning, including carbon cycling among vegetation, soil, and atmosphere. In the ocean, both models include new biogeochemical algorithms including phytoplankton functional group dynamics with flexible stoichiometry. Preindustrial simulations are spun up to give stable, realistic carbon cycle means and variability. Significant differences...
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate
Abstract: Abstract. The core version of the Norwegian Climate Center's Earth System Model, named NorESM1-M, is presented. The NorESM family of models are based on the Community Climate System Model version 4 (CCSM4) of the University Corporation for Atmospheric Research, but differs from the latter by, in particular, an isopycnic coordinate ocean model and advanced chemistry–aerosol–cloud–radiation interaction schemes. NorESM1-M has a horizontal resolution of approximately 2° for the atmosphere and land components and 1° for the ocean and ice components. NorESM is also available in a lower resolution version (NorESM1-L) and a version that includes prognostic biogeochemical cycling (NorESM1-ME). The latter two model configurations are not part of this paper. Here, a first-order assessment of the model stability, the mean model state and the internal variability based on the model experiments made available to CMIP5 are presented. Further analysis of the model performance is provided in an accompanying paper (Iversen et al., 2013), presenting the corresponding climate response and scenario projections made with NorESM1-M.
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: Evaluation of the carbon cycle components in the Norwegian Earth System Model (NorESM)
Abstract: Abstract. The recently developed Norwegian Earth System Model (NorESM) is employed for simulations contributing to the CMIP5 (Coupled Model Intercomparison Project phase 5) experiments and the fifth assessment report of the Intergovernmental Panel on Climate Change (IPCC-AR5). In this manuscript, we focus on evaluating the ocean and land carbon cycle components of the NorESM, based on the preindustrial control and historical simulations. Many of the observed large scale ocean biogeochemical features are reproduced satisfactorily by the NorESM. When compared to the climatological estimates from the World Ocean Atlas (WOA), the model simulated temperature, salinity, oxygen, and phosphate distributions agree reasonably well in both the surface layer and deep water structure. However, the model simulates a relatively strong overturning circulation strength that leads to noticeable model-data bias, especially within the North Atlantic Deep Water (NADW). This strong overturning circulation slightly distorts the structure of the biogeochemical tracers at depth. Advancements in simulating the oceanic mixed layer depth with respect to the previous generation model particularly improve the surface tracer distribution as well as the upper ocean biogeochemical processes, particularly in the Southern Ocean. Consequently, near-surface ocean processes such as biological production and air–sea gas exchange, are in good agreement with climatological observations. The NorESM adopts the same terrestrial model as the Community Earth System Model (CESM1). It reproduces the general pattern of land-vegetation gross primary productivity (GPP) when compared to the observationally based values derived from the FLUXNET network of eddy covariance towers. While the model simulates well the vegetation carbon pool, the soil carbon pool is smaller by a factor of three relative to the observational based estimates. The simulated annual mean terrestrial GPP and total respiration are slightly larger than observed, but the difference between the global GPP and respiration is comparable. Model-data bias in GPP is mainly simulated in the tropics (overestimation) and in high latitudes (underestimation). Within the NorESM framework, both the ocean and terrestrial carbon cycle models simulate a steady increase in carbon uptake from the preindustrial period to the present-day. The land carbon uptake is noticeably smaller than the observations, which is attributed to the strong nitrogen limitation formulated by the land model.
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: INGV-CMCC Carbon (ICC): A Carbon Cycle Earth System Model
Abstract: This document describes the CMCC Earth System Model (ESM) for the representation of the carbon cycle in the atmosphere, land, and ocean system. The structure of the report follows the software architecture of the full system. It is intended to give a technical description of the numerical models at the base of the ESM, and how they are coupled with each other.
Extracted statement — Earth System Model: Ocean
Research field: Environmental Sciences
Title: Activity concentration of natural radionuclides in sediments of Bree, Klein-Brak, Bakens, and uMngeni rivers and their associated radiation hazard indices
Abstract: A hyper-pure germanium (HPGe) detector was used to measure the activity concentrations in sediment samples of rivers in South Africa, and the associated radiological hazard indices were evaluated. The results of the study indicated that the mean activity concentrations of 226Ra, 232Th and 40K in the sediment samples from the oil-rich areas are 11.13, 7.57, 22.5 ; 5.51, 4.62, 125.02 and 7.60, 5.32, 24.12 for the Bree, Klein-Brak and Bakens Rivers, respectively. In contrast, the control site (UMngeni River) values were 4.13, 3.28, and 13.04 for 226Ra, 232Th, and 40K. The average excess lifetime cancer risks are 0.394 × , 0.393 × , 0.277 × and 0.163 × for sediment samples at Bree, Klein-Brak, Bakens, and uMngeni rivers. All obtained values indicated a significant difference between the natural radionuclide concentrations in the samples from the rivers in oil-rich areas compared to those of the non-oil-rich area. The values reported for the activity concentrations and radiological hazard indices were below the average world values; hence, the risk of radiation health hazard was negligible in all study areas.
Extracted statement — Study location: South Africa
Research field: Epidemiology
Title: Epidemiology of Shiga toxin-producingEscherichia coliO157 in very young calves in the North Island of New Zealand
Abstract: Abstract AIMS: To study the occurrence and spatial distribution of Shiga toxin-producing Escherichia coli (STEC) O157 in calves less than 1-week-old (bobby calves) born on dairy farms in the North Island of New Zealand, and to determine the association of concentration of IgG in serum, carcass weight, gender and breed with occurrence of E. coli O157 in these calves. METHODS: In total, 309 recto-anal mucosal swabs and blood samples were collected from bobby calves at two slaughter plants in the North Island of New Zealand. The address of the farm, tag number, carcass weight, gender and breed of the sampled animals were recorded. Swabs were tested for the presence of E. coli O157 using real time PCR (RT-PCR). All the farms were mapped geographically to determine the spatial distribution of farms positive for E. coli O157. K function analysis was used to test for clustering of these farms. Multiplex PCR was used for the detection of Shiga toxin 1 (stx1), Shiga toxin 2 (stx2), E. coli attaching and effacing (eae) and Enterohaemolysin (ehxA) genes in E. coli O157 isolates. Genotypes of isolates from this study (n = 10) along with human (n = 18) and bovine isolates (n = 4) obtained elsewhere were determined using bacteriophage insertion typing for stx encoding. RESULTS: Of the 309 samples, 55 (17.7%) were positive for E. coli O157 by RT-PCR and originated from 47/197 (23.8%) farms. E. coli O157 was isolated from 10 samples of which seven isolates were positive for stx2, eae and ehxA genes and the other three isolates were positive for stx1, stx2, eae and ehxA. Bacteriophage insertion typing for stx encoding revealed that 12/18 (67%) human and 13/14 (93%) bovine isolates belonged to genotypes 1 and 3. K function analysis showed some clustering of farms positive for E. coli O157. There was no association between concentration of IgG in serum, carcass weight and gender of the calves, and samples positive for E. coli O157, assessed using linear mixed-effects models. However, Jersey calves were less likely to be positive for E. coli O157 by RT-PCR than Friesian calves (p = 0.055). CONCLUSIONS: Healthy bobby calves are an asymptomatic reservoir of E. coli O157 in New Zealand and may represent an important source of infection for humans. Carriage was not associated with concentration of IgG in serum, carcass weight or gender.
Extracted statement — Publication location: New Zealand
Research field: Epidemiology
Title: A National Iranian Cochlear Implant Registry (ICIR): cochlear implanted recipient
            observational study
Abstract: BACKGROUND AND OBJECTIVE Patients who receive cochlear implants (CIs) constitutes a significant population in Iran. This population needs regular monitor on long-term outcomes, educational placement and quality of life. Currently, there is no national or regional registry on the long term outcomes of CI users in Iran. The present study aims to introduce the design and implementation of a national patient-outcomes registry on CI recipients for Iran. This Iranian CI registry (ICIR) provides an integrated framework for data collection and sharing, scientific communication and collaboration inCI research. METHODS The national ICIR is a prospective patient-outcomes registry for patients who are implanted in one of Iranian centers. The registry is based on an integrated database that utilizes a secure web-based platform to collect response data from clinicians and patient's proxy via electronic case report forms (e-CRFs) at predefined intervals. The CI candidates are evaluated with a set of standardized and non-standardized questionnaires prior to initial device activation(as baseline variables) and at three-monthly interval follow-up intervals up to 24 months and annually thereafter. RESULTS The software application of the ICIR registry is designed in a user-friendly graphical interface with different entry fields. The collected data are categorized into four subsets including personal information, clinical data, surgery data and commission results. The main parameters include audiometric performance of patient, device use, patient comorbidities, device use, quality of life and health-related utilities, across different types of CI devices from different manufacturers. CONCLUSION The ICIR database could be used by the increasingly growing network of CI centers in Iran. Clinicians, academic and industrial researchers as well as healthcare policy makers could use this database to develop more effective CI devices and better management of the recipients as well as to develop national guidelines.
Extracted statement — Location : Iran
Research field: Family, Life Course, and Society
Title: Parental well-being in times of Covid-19 in Germany
Abstract: Abstract We examine the effects of Covid-19 and related restrictions on individuals with dependent children in Germany. We specifically focus on the role of day care center and school closures, which may be regarded as a “disruptive exogenous shock” to family life. We make use of a novel representative survey of parental well-being collected in May and June 2020 in Germany, when schools and day care centers were closed but while other measures had been relaxed and new infections were low. In our descriptive analysis, we compare well-being during this period with a pre-crisis period for different groups. In a difference-in-differences design, we compare the change for individuals with children to the change for individuals without children, accounting for unrelated trends as well as potential survey mode and context effects. We find that the crisis lowered the relative well-being of individuals with children, especially for individuals with young children, for women, and for persons with lower secondary schooling qualifications. Our results suggest that public policy measures taken to contain Covid-19 can have large effects on family well-being, with implications for child development and parental labor market outcomes.
Extracted statement — has location: Germany
Research field: Family, Life Course, and Society
Title: The COVID-19 pandemic and subjective well-being: longitudinal evidence on satisfaction with work and family
Abstract: ABSTRACT This paper provides a timely evaluation of whether the main COVID-19 lockdown policies – remote work, short-time work and closure of schools and childcare – have an immediate effect on the German population in terms of changes in satisfaction with work and family life. Relying on individual level panel data collected before and during the lockdown, we examine (1) how family satisfaction and work satisfaction of individuals have changed over the lockdown period, and (2) how lockdown-driven changes in the labour market situation (i.e. working remotely and being sent on short-time work) have affected satisfactions. We apply first-difference regressions for mothers, fathers, and persons without children. Our results show a general decrease in family satisfaction. We also find an overall decline in work satisfaction which is most pronounced for mothers and those without children who have to switch to short-time work. In contrast, fathers' well-being is less affected negatively and their family satisfaction even increased after changing to short-time work. We conclude that while the lockdown circumstances generally have a negative effect on the satisfaction with work and family of individuals in Germany, effects differ between childless persons, mothers, and fathers with the latter being least negatively affected.
Extracted statement — has location: Germany