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4035 Global import shipment records of Psa Generator with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

France FR: PSA: Sales: Vehicle: Peugeot: Rifter data was reported at 447.000 Unit in Jun 2018. This records an increase from the previous number of 44.000 Unit for Jun 2017. France FR: PSA: Sales: Vehicle: Peugeot: Rifter data is updated semiannually, averaging 245.500 Unit from Jun 2017 (Median) to Jun 2018, with 2 observations. The data reached an all-time high of 447.000 Unit in Jun 2018 and a record low of 44.000 Unit in Jun 2017. France FR: PSA: Sales: Vehicle: Peugeot: Rifter data remains active status in CEIC and is reported by Groupe PSA. The data is categorized under World Trend Plus’s Top Company: Automobile: Non-Asia – Table RA.NA003: Groupe PSA (PSA): Operational Data: Sales and Others.

France FR: PSA: Sales: Vehicle: Peugeot: Pick Up Peugeot data was reported at 184.000 Unit in Jun 2018. This records a decrease from the previous number of 860.000 Unit for Dec 2017. France FR: PSA: Sales: Vehicle: Peugeot: Pick Up Peugeot data is updated semiannually, averaging 522.000 Unit from Dec 2017 (Median) to Jun 2018, with 2 observations. The data reached an all-time high of 860.000 Unit in Dec 2017 and a record low of 184.000 Unit in Jun 2018. France FR: PSA: Sales: Vehicle: Peugeot: Pick Up Peugeot data remains active status in CEIC and is reported by Groupe PSA. The data is categorized under World Trend Plus’s Top Company: Automobile: Non-Asia – Table RA.NA003: Groupe PSA (PSA): Operational Data: Sales and Others.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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1061 Global import shipment records of Maglumi Total Psa with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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Particle Size Analysis (PSA) data from survey undertaken by Cefas and JNCC in January 2013 at the three Fladen Grounds pMPAs. This was a Scottish Marine Protected Areas (SMPA) site identification survey. The main aims were to confirm the presence of the Priority Marine Features and MPA Search Features recommended for protection within the pMPAs and to gather groundtruth data to compare benthic assemblages between, and within/outside, the sites.

Public Storage reported $546.86M in Operating Profit for its fiscal quarter ending in December of 2024. Data for Public Storage | PSA - Operating Profit including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Public Storage reported $72.13M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for Public Storage | PSA - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last March in 2025.

scDrugPrio: A framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseasesIneffective drug treatment is a major problem for many patients with immune-mediated inflammatory diseases (IMIDs). Important reasons are the lack of systematic solutions for drug prioritisation and repurposing based on characterisation of the complex and heterogeneous cellular and molecular changes in IMIDs. In our recent work, we propose a computational framework, scDrugPrio, which constructs network models of inflammatory disease based on single-cell RNA sequencing (scRNA-seq) data. scDrugPrio constructs detailed network models of inflammatory diseases that integrate information on cell type-specific expression changes, altered cellular crosstalk and pharmacological properties for the selection and ranking of thousands of drugs.scDrugPrio was developed using a mouse model of antigen-induced arthritis and validated by improved precision/recall for approved drugs, as well as extensive in vitro, in vivo, and in silico studies of drugs that were predicted, but not approved, for the studied diseases. Next, scDrugPrio was applied to multiple sclerosis, Crohn’s disease, and psoriatic arthritis, further supporting scDrugPrio through prioritisation of relevant and approved drugs. However, in contrast to the mouse model of arthritis, great interindividual cellular and gene expression differences were found in patients with the same diagnosis. Such differences could explain why some patients did or did not respond to treatment. This explanation was supported by the application of scDrugPrio to scRNA-seq data from eleven individual Crohn’s disease patients. The analysis showed great variations in drug predictions between patients, for example,assigning a high rank to anti-TNF treatment in a responder and a low rank in a nonresponder to that treatment. Application to individual patients indicates scDrugPrio’s potential for personalised network-based drug screening on cellulome-, genome-, and drugome-wide scales. For this purpose, we made scDrugPrio into an easy-to-use R package (https://github.com/SDTC-CPMed/scDrugPrio).PsA patients were recruited from different rheumatology departments from university hospitals belonging to the IMIDC. All PsA patients were diagnosed according to the CASPAR diagnostic criteria for PsA (34) with > 1 year of disease evolution and > 18 years old at the time of recruitment. Exclusion criteria for PsA included the presence of any other form of inflammatory arthritis, rheumatoid factor levels greater than twice the normality threshold or confirmed presence of an inflammatory bowel disease. PBMCs were sampled prior to treatment with anti-TNF and cryopreserved. Treatment response was classified at week 12 according to the EULAR response. For the anti-TNF study, 6 males and 10 females were included. Simultaneously, healthy age- and sex-matched control subjects were recruited from healthy volunteers recruited through the Vall d’Hebron University Hospital in Barcelona (Spain). All the controls were screened for the presence of any autoimmune disorder, as well as for first-degree family occurrence of autoimmune diseases. None were found to be positive. All in all, four males and four females were included as controls.Patients in the study of PBMC from patients with psoriatic arthritis consented to participate in this study as approved by Hospital Universitari Vall d'Hebron Clinical Research Ethics Committee with reference number 20/0022. Protocols were reviewed and approved by the local institutional review board of each participating centre. This research conformed to the principles of the Helsinki Declaration.In summary, this data set includes raw scRNA-seq data and metadata of pre-treatment PBMC of psoriatic arthritis patients that did or did not respond to anti-TNF treatment as well as untreated healthy controls. The RDS file also includes the deep count auto encoder (DCA) denoised scRNA-seq matrix as well as clustering outcomes.

INFOMAR FEAS Seabed Samples PSA (Particle Size Analysis) shapefile.. Published by Marine Institute. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This shapefile is based on a seabed sediment sample database of samples collected by INSS, INFOMAR and related surveys, including ADFish, DCU, FEAS, GATEWAYS, IMAGIN, IMES, INIS_HYRDO, JIBS, MESH, SCALLOP, SEAI, SEI, UCC. Where available, the results of particle size analysis are presented by displaying percentages of mud, sand and gravel fraction. Shapefile showing location of 4185 samples and samples can be colour coded in accordance with Folk sediment type classification for samples with available PSA (Particle Size Analysis) data. Shapefile showing location of 4185 samples and Folk classification for samples with available PSA (Particle Size Analysis) data....

Public Storage reported $9.35B in Debt for its fiscal quarter ending in December of 2024. Data for Public Storage | PSA - Debt including historical, tables and charts were last updated by Trading Economics this last March in 2025.

Predictive Service Areas (PSAs) are geographic areas for which national-level fire weather or fire danger services and products are produced by wildland fire agency meteorologists and intelligence staffs in support of resource allocation and prioritization. A PSA boundary defines areas where 2 or more weather elements or National Fire Danger Rating System (NFDRS) indices exist with a high correlation to historical significant fire size. "Significant fires" are the 95th percentile fire size for the PSA. January 2025 Changes: Geometry edits to 6 PSA Boundaries:TX Central NETX Central NWTX Central NETX Central SWTX East STX NE Coast

France FR: PSA: Sales: Vehicle: DS: Other data was reported at 164.000 Unit in Jun 2018. This records an increase from the previous number of 43.000 Unit for Dec 2017. France FR: PSA: Sales: Vehicle: DS: Other data is updated semiannually, averaging 103.500 Unit from Dec 2017 (Median) to Jun 2018, with 2 observations. The data reached an all-time high of 164.000 Unit in Jun 2018 and a record low of 43.000 Unit in Dec 2017. France FR: PSA: Sales: Vehicle: DS: Other data remains active status in CEIC and is reported by Groupe PSA. The data is categorized under World Trend Plus’s Top Company: Automobile: Non-Asia – Table RA.NA003: Groupe PSA (PSA): Operational Data: Sales and Others.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Data to accompany: Impacts of geographic variability and geologic history on the distribution of post-settlement alluvium (PSA) across the upper Midwest, USA. Alison M. Anders and Bruce L. Rhoads Catena CATENA_108939 Accepted for Publication 11 Mar 2025

A shapefile of the watersheds included in a meta-analysis of post-settlement alluvium in the Central Lowlands/Midwest USA is included as a zipped archive. A data table with PSA thickness, landscape, climate and soils data from the watersheds is provided as a text file. Accelerated floodplain sedimentation related to agricultural development of uplands has produced post-settlement alluvium (PSA) along rivers throughout the upper Midwest, U.S.A. Landscape characteristics in the region vary geographically in relation to differences in geologic history, yet the extent to which this geographic variability influences PSA accumulation remains unexplored. This study uses existing data to assess how non-dimensional PSA thickness varies with landscape characteristics and climate. Geographic variability is associated with three subregions: 1) areas glaciated during the Late Wisconsin Episode (LWE), 2) areas glaciated during Pre-Illinois and Illinois Episodes (PI&IE), and 3) the Paleozoic Plateau (PP), an area where evidence of Quaternary glaciation is highly localized and does not influence geomorphic characteristics of the landscape. These subregions differ significantly in average geomorphic characteristics, including mean watershed slope (WS), mean local relief (LR), fraction of non-contributing area (NCA), pre-settlement drainage density (DD), and mean normalized river steepness (KSN). Non-dimensional PSA thickness also differs significantly among the subregions, increasing systematically with landscape age; it also is significantly positively correlated with LR, KSN and WS, and significantly negatively correlated with NCA. Non-visibly distinct PSA is present in some LWE watersheds characterized by significantly lower KSN and WS relative to other LWE watersheds in which PSA is visibly distinct. These results indicate that PSA thickness and visibility reflect inherited landscape characteristics, emphasizing the importance of geographic setting, geological history, and geomorphic context for understanding historical river sediment dynamics. Spatial variability in PSA thickness also serves as an indicator of river system sensitivity to human-induced land-use change, which informs river management strategies.