236 research outputs found
Particulate matter (TSP and PM10) data samples collected during Brazilian truckers’ strike (2018) in the cities of Limeira (SP) and Campinas (SP)
No full textThis dataset contains particulate matter (TSP and PM10) data samples collected during Brazilian truckers’ strike (2018) in the cities of Limeira (SP, Brazil) and Campinas (SP, Brazil).
The data was obtained from both manual and automatic monitoring stations in Limeira, and from an automatic station in Campinas.
The raw data from the automatic stations are available in the QUALAR database: https://cetesb.sp.gov.br/ar/qualar/.
The manual station is located at the School of Technology of the University of Campinas (22°33’43’’S; 47°25’23’’W). The samples were collected by a Hi-Vol sampler, with a constant flow of 1.13 m3min−1, in glass-fiber filters, to obtain the concentration of PM10 in May 2018
Receptor model to identify emission sources of particulate matter in cities from the Rio Grande do Sul (RS)
No full textThis dataset contains data samples of particulate matter and metallic elements concentrations derived from three secondary studies, carried out in different locations during the years 2013 to 2019, in five cities located in the South of Brazil: Campo Bom (ALVES et al., 2016), Canoas (ALVES et al.,2016; ALVES et al.,2020), São Leopoldo (ALVES et al.,2016; ALVES et al.,2020), Gramado and Canela (PLETSCH (2019). Those studies realized the particulate matter sampling and their metallic quantification through chemical analysis. We performed the identification of polluting sources using the Positive Matrix Factorization (PMF) receptor model (US-EPA, 2021). The spreadsheet presents a tab with the raw data for each study, collection sites and date, particle size, PM concentration (µg/m³), and quantification of metallic elements (ng/m³). Another tab presents the MDL (method detection limits) values for the replacement of data below the MDL value by zero to perform the PMF simulation. Another tab contains the data uncertainties values, determined by PMF modeling. The PMF results can be made available upon request to the responsible researcher
Replication Data for: Impact on the health of older adults exposed to PM10 and PM2.5 emitted in a metropolis with high sugarcane and ethanol production: scenario evaluation and tropospheric O3 monitoring
No full textThis dataset includes information on particulate matter (PM10 and PM2.5) and O3 concentrations (CETESB, 2024, GMAO, 2015), as well as population and morbidity and mortality data for elderly residents (≥60 years) in Ribeirão Preto (SP) (Brazilian Ministry of Health, 2024). Concentrations of PM10 (2010-2013 and 2017-2019) and PM2.5 (2017-2019) were obtained from the Qualar platform and through calculations based on the components of NASA's MERRA-2 (GMAO, 2015). These calculations, we used the equations of Bali et al. (2021), Buchard et al. (2016) and NASA (2023). O3 concentrations (2018-2019) were obtained exclusively from the Qualar platform. The PM2.5/O3 ratio was calculated from these data, and a Health Impact Assessment (HIA) was performed in Ribeirão Preto.
Bali, K.; Dey, S.; Ganguly, D. Diurnal Patterns in Ambient PM2.5 Exposure over India Using MERRA-2 Reanalysis Data. Atmos. Environ. 2021, 248 (1), 118180. https://doi.org/10.1016/J.ATMOSENV.2020.118180.
Buchard, V.; da Silva, A. M.; Randles, C. A.; Colarco, P.; Ferrare, R.; Hair, J.; Hostetler, C.; Tackett, J.; Winker, D. Evaluation of the Surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States. Atmos. Environ. 2016, 125, 100–111. https://doi.org/10.1016/J.ATMOSENV.2015.11.004.
Companhia Ambiental do Estado de São Paulo (CETESB). Qualidade do ar. Qualar. 2024. https://cetesb.sp.gov.br/ar/qualar/ (accessed 2024-02-11).
Global Modeling and Assimilation Office (GMAO). MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly, Time-averaged, Single-Level, Assimilation, Aerosol Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 2015. https://doi.org/10.5067/KLICLTZ8EM9D.
National Aeronautics and Space Administration (Nasa). Global Modeling and Assimilation Office – Modern-Era Retrospective analysis for Research and Applications, Version 2: MERRA-2 FAQ, 2023. https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/FAQ/. (accessed 2023-11-11)
Replication data for: health and economic benefits of lowering Particulate Matter (PM) levels: scenarios for a Southern Brazilian metropolis
No full textThis dataset compiles information on particulate matter (PM10 and PM2.5) concentrations in Florianópolis (SC) between 2018 and 2020. These data are derived from calculations performed using components from the MERRA-2 platform developed by NASA (GMAO, 2015). The equations used to calculate the pollutant concentrations are based on research conducted by Bali (2021) and Ryu and Min (2021). Based on these data, we conducted a Health Impact Assessment (HIA) in Florianópolis, as well as a health cost assessment. The spreadsheet includes a tab with raw data, including date of collection, particle size, and PM concentrations (µg/m³).
Bali K, Dey S, Ganguly D (2021) Diurnal patterns in ambient PM2.5 exposure over India using MERRA-2 reanalysis data. Atmospheric Environment 248:118180. https://doi.org/10.1016/j.atmosenv.2020.118180
GMAO (Global Modeling and Assimilation Office) (2015) MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly, Time-averaged, Single-Level, Assimilation, Aerosol Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/KLICLTZ8EM9D.
Ryu Y-H, Min S-K (2021) Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations. Atmospheric Environment 246: 118062. https://doi.org/10.1016/j.atmosenv.2020.11806
Samples of particulate matter and meteorological variables collected during different seasons (2018-2019) in five Brazilian cities
No full textThis dataset contains data samples of particulate matter concentration collected during four seasons between 2018 and 2019, in five Brazilian cities: three located in the South of the country (Camboriú, Florianópolis and Novo Hamburgo), one in the Southeast (Limeira), and one in the Midwest (Catalão).
All samplings were made with High Volume Samplers (HiVol). For PM10 and PM2.5, the HiVols (Energetica®) had a constant flow of 1.13 m³/min, while for TSP the flow varied between 1.1 and 1.7 m³/min.
PM10 was sampled in all the cities, while TSP was sampled in Catalão and Limeira and PM2.5 was collected only in Catalão. The meteorological data presented in this dataset are the average temperature (°C), pressure (mmHg), relative humidity (%), (wind speed (km;h), and rainfall (mm).
The manual stations are located at these coordinates: (i) Federal Institute Catarinense (Camboriú, 27°0'51.372”S; 48°39'53.924”W); (ii) Federal University of Catalão (Catalão, 18°09'17.3"S; 47°55'38.7"W); (iii) Federal University of Santa Catarina (Florianópolis, 27°36'0.0”S; 48°31'12.0”W); (iv) School of Technology of the University of Campinas (Limeira, 22°33’43’’S; 47°25’23’’W); and (v) Feevale University (Novo Hamburgo, 29°40'12.4"S; 51°07'15.7"W)
Evaluation of the toxicity of atmospheric particulate matter using the Zebrafish bioassay
No full textThis dataset contains data samples of particulate matter (PM) and polycyclic aromatic hydrocarbons (PAH) concentrations derived from studies carried out in Limeira - SP, Brazil (22�� 33 '43 "S e 47° 25' 20"W) between November 2022 and January 2023. This study sampled PM using High Volume air samplers. Instruments collected Total Suspended Particulate matter (TSP) and particles smaller than 10 µm (PM10) through pre-weighed filters for 24 hours. We also performed identification of PAHs designated as High Priority Pollutants by the United States Environmental Protection Agency (USEPA) by gas-chromatography coupled with mass spectrometry (GC-MS). The spreadsheets present tabs with the raw data with mass (g), particle size, date and weather conditions: temperature (ºC), rain (mm), wind (km/h). There are data corresponding to the Zebrafish Embryo Acute Toxicity Test (ZFET) like survival rate, hatching and pictures of the tested organisms with the extracted PAH. In addition, another spreadsheet contains the peak areas for each PAH found in the PTS, PM10 and blank filters. Analysis conditions can be available upon request to the responsible researcher
Hilbert curve vs Hilbert space: exploiting fractal 2D covering to increase tensor network efficiency
Get PDFWe present a novel mapping for studying 2D many-body quantum systems by solving an effective, one-dimensional long-range model in place of the original two-dimensional short-range one. In particular, we address the problem of choosing an efficient mapping from the 2D lattice to a 1D chain that optimally preserves the locality of interactions within the TN structure. By using Matrix Product States (MPS) and Tree Tensor Network (TTN) algorithms, we compute the ground state of the 2D quantum Ising model in transverse field with lattice size up to , comparing the results obtained from different mappings based on two space-filling curves, the snake curve and the Hilbert curve. We show that the locality-preserving properties of the Hilbert curve leads to a clear improvement of numerical precision, especially for large sizes, and turns out to provide the best performances for the simulation of 2D lattice systems via 1D TN structures
Adult obsessive-compulsive disorder and quality of life outcomes: a systematic review and meta-analysis
No full textIn the current literature, there are no meta-analyses assessing quality of life (QOL) in patients with obsessive-compulsive disorder (OCD). Knowledge of QOL domains mainly impaired in OCD could provide specific areas for intervention. The current meta-analysis assessed differences in global, work and social, family, and emotional QOL outcomes between patients with OCD and heathy controls. Age, gender and OCD severity were examined as moderators. Case-control studies were included if patients with primary OCD were compared with controls on QOL outcomes. Electronic databases (1966-October 2014) were searched. Thirteen case-control studies were included (n = 26,015). Patients with OCD had significantly lower scores on QOL relative to controls, with moderate effect sizes on global QOL and large effect size on work and social, emotional and family QOL outcomes. Studies using higher percentages of female patients and patients with less severe OCD symptoms reported significantly lower QOL outcomes for patients with OCD than controls. Studies comparing patients with OCD and patients with other psychiatric disorders were not included. Treatments should address QOL in OCD, particularly emotional QOL. Additional strategies targeting QOL should be implemented for female patients with less severe OCD symptoms. © 2016 Elsevier B.V
Early maladaptive schemas as common and specific predictors of skin picking subtypes
Get PDFBackground
Three distinct subtypes of Skin Picking (SP) have been identified in previous research: Focused, Automatic and Mixed. Early Maladaptive Schemas (EMS) were not investigated across the subtypes. Understanding which EMS are associated with the subtypes might suggest the evaluation of Schema Therapy for SP and guide clinicians using it according to subtypes. The current study explored the relationship between EMS and SP subtypes in community adults.
Methods
Five hundred ninety-six adults [mean age = 35.23 years, 66% females] self-reporting SP behaviours completed the Milwaukee Inventory for Dimensions of Adult Skin Picking and the Young Schema Questionnaire-Long form third version (YSQ-L3).
Results
Higher Dependence/Incompetence EMS was a common predictor of both Focused and Automatic subtypes, while lower Emotional Deprivation EMS and younger age predicted all three subtypes. Higher Approval/Recognition Seeking, Mistrust/Abuse and Failure to Achieve were specific predictors of Automatic, Focused and Mixed subtypes, respectively. Lower Social Isolation/Alienation and Enmeshment/Undeveloped Self were specific predictors of Focused subtype. Male gender was a specific predictor of Mixed subtype.
Conclusions
The assessment and psychological treatment of individuals with SP behaviour may focus on specific EMS. Future longitudinal studies using clinical samples may clarify this association. © 2020 The Author(s)
Collision of ductal adenocarcinoma and neuroendocrine tumor of the pancreas: a case report and review of the literature
Get PDFBackground: Simultaneous occurrence of exocrine and neuroendocrine tumors of the pancreas is very infrequent.
We report a patient with an endocrine tumor in the pancreatic-duodenal area and extensive exocrine carcinoma
involving the whole pancreas.
Case presentation: A 69-year-old woman was hospitalized in May 2016 for epigastric pain and weight loss. Her past
medical history revealed an undefined main pancreatic duct dilation that was subsequently confirmed at CT scan
(23 mm) and endoscopic ultrasound. There was no evidence of pancreatic masses, but the cephalic portion of the
main pancreatic duct presented hypoechoic nodules. A diagnosis of the main-duct intraductal papillary mucinous
neoplasm was made, and the patient underwent total pancreatectomy. Pathological examination showed a collision
tumor constituted by a ductal adenocarcinoma involving the whole pancreas and a neuroendocrine tumor located in
the duodenal peripancreatic wall and the head of the pancreas. There was one peripancreatic lymph node metastasis
from the ductal adenocarcinoma and eight node metastases from the neuroendocrine tumor. These findings
suggested a diagnosis of collision of neuroendocrine and ductal adenocarcinomas of the pancreas. The postoperative
course was uneventful.
Conclusions: The coexistence of pancreatic endocrine and exocrine tumors is very uncommon. When present,
problems in differential diagnosis may arise between mixed exocrine-endocrine carcinoma or the collision of separate
tumors
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