Payment Schedule Application - Cost Lists

This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal 2023-2024 and the number of GoRTT officers trained in each course.

This dataset provides information about an Entity, it's registered Agents and shares details

This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal January 2023-December 2023 and the number of GoRTT officers trained in each course.

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.

A web map used for the Police Service Area Details web application.In addition to Police Districts, every resident lives in a Police Service Area (PSA), and every PSA has a team of police officers and officials assigned to it. Residents should get to know their PSA team members and learn how to work with them to fight crime and disorder in their neighborhoods. Each police district has between seven and nine PSAs. There are a total of 56 PSAs in the District of Columbia.Printable PDF versions of each district map are available on the district pages. Residents and visitors may also access the PSA Finder to easily locate a PSA and other resources within a geographic area. Just enter an address or place name and click the magnifying glass to search, or just click on the map. The results will provide the geopolitical and public safety information for the address; it will also display a map of the nearest police station(s).Each Police Service Area generally holds meetings once a month. To learn more about the meeting time and location in your PSA, please contact your Community Outreach Coordinator. To reach a coordinator, choose your police district from the list below. The coordinators are included as part of each district's Roster.Visit https://mpdc.dc.gov for more information.

Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer PSA variation has potential to improve screening utility. We discovered 128 genome-wide significant associations (P<5×10-8) in a multi-ancestry GWAS meta-analysis of 95,768 men and developed a PSA polygenic score (PGSPSA) that explains 9.61% of constitutive PSA variation. Here we provide full GWAS summary statistics for the multi-ancestry meta-analysis and ancestry-stratified summary statistics for ~1.2 million variants used to derive a genome-wide PGSPSA.

The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

The data underlying the public sector finances statistical bulletin are presented in the tables PSA 1 to 10.

This snapshot provides statistics on the use and results of Prostate Specific Antigen (PSA) testing in Alberta. PSA tests are performed for two main reasons: to detect prostate cancer, and to monitor treatment effectiveness and disease recurrence.

In response to COVID-19, regional Area Agencies on Aging (AAA) and their sub-contractors have been providing additional Information & Assistance calls to connect older adults, adults with disabilities, families, and caregivers to services in the community.

Data Source: U.S. Census Bureau, American Community Survey (ACS) 5-year Estimates Special Tabulation on Aging and Disability 2016-2020.
*Note. The total population only includes individuals for whom the poverty status is determined, excluding institutionalized group quarter populations (e.g., college dormitories, military housing).

This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal 2017-2018 and the number of GoRTT officers trained in each course.

Metropolitan Police Department (MPD) Police Service Areas (PSA). The dataset contains polygons representing of MPD PSA, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Police jurisdictions were initially created selecting street arcs from the planimetric street centerlines and street polygons, water polygons, real property boundaries and District of Columbia boundaries.2019 Boundary Changes:Periodically, MPD conducts a comprehensive assessment of our patrol boundaries to ensure optimal operations. This effort considers current workload, anticipated population growth, development, and community needs. The overarching goals for the 2019 realignment effort included: optimal availability of police resources, officer safety and wellness, and efficient delivery of police services. These changes took effect on 01/10/2019. On 03/27/2019, this boundary was modified to adjust dispatching of North Capitol Street’s northwest access roads to be more operationally efficient.

URL: https://geoscience.data.qld.gov.au/dataset/cr024990

ATP 374, PSA STRATHPINE 1, WELL PROPOSAL REPORT

Prostate Specific Antigen (PSA) Biomarker Market Outlook

The global market size for Prostate Specific Antigen (PSA) Biomarkers was valued at approximately USD 1.1 billion in 2023 and is projected to reach USD 2.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.5%. The rising prevalence of prostate cancer, advancements in diagnostic technologies, and increasing awareness about early cancer detection are some of the key growth factors driving this market. The increasing aging population worldwide and the subsequent rise in prostate cancer incidences further amplify the demand for effective PSA biomarker screening and monitoring solutions.

One of the primary growth drivers is the increasing prevalence of prostate cancer, which is one of the most common types of cancer among men. According to the World Cancer Research Fund, prostate cancer is the second most commonly occurring cancer in men and the fourth most common cancer overall. This growing incidence rate necessitates effective screening and diagnostic methods, making PSA biomarkers an essential tool in early detection and management, thereby driving market growth. Additionally, government initiatives and funding aimed at cancer research and awareness programs also contribute significantly to the market's expansion.

Technological advancements in diagnostic tests are another major growth factor for the PSA biomarker market. The development of highly sensitive and specific PSA tests has improved the accuracy of prostate cancer detection, reducing the rate of false positives and negatives. Innovations such as the combination of PSA testing with advanced imaging techniques and genetic profiling are enhancing the diagnostic value of PSA biomarkers. Furthermore, the integration of artificial intelligence in diagnostic procedures is streamlining the interpretation of PSA levels, enabling more precise and early detection of prostate cancer.

Increasing awareness and proactive measures for early cancer detection also play a crucial role in market growth. Public health campaigns and educational programs aimed at raising awareness about prostate cancer and the benefits of early screening have led to a higher adoption rate of PSA tests. Moreover, the availability of PSA testing at regular medical check-ups and health screenings encourages more men to undergo these tests, thereby driving market demand. The role of healthcare providers in recommending routine PSA screening for men over a certain age also cannot be overlooked in contributing to market expansion.

In terms of regional outlook, North America dominates the PSA biomarker market, attributed to high healthcare expenditure, advanced healthcare infrastructure, and a large patient pool. Europe follows closely, driven by government healthcare initiatives and increased awareness about early detection of prostate cancer. The Asia-Pacific region is expected to witness the fastest growth rate due to improving healthcare infrastructure, rising incidences of prostate cancer, and increasing disposable income. Countries like China and India are anticipated to be major contributors to the market growth in the region, thanks to their large population base and improving healthcare access.

Total PSA Analysis

Total PSA is the most commonly used biomarker for prostate cancer screening and monitoring. It measures the total amount of PSA present in the blood, including both free and complexed forms. Total PSA is widely utilized due to its simplicity and effectiveness in detecting prostate abnormalities at an early stage. The growing awareness about early cancer detection and the increasing incidence of prostate cancer are significant factors driving the demand for Total PSA tests. Moreover, ongoing research and development activities aimed at improving the sensitivity and specificity of Total PSA tests further bolster their adoption in clinical settings.

The market for Total PSA is also driven by advancements in diagnostic technologies. Innovations such as ultra-sensitive assays and the integration of Total PSA testing with other diagnostic modalities are enhancing the accuracy of prostate cancer detection. These technological advancements are reducing the rate of false positives and negatives, thereby increasing the reliability of Total PSA tests. Additionally, the development of automated PSA testing platforms is streamlining the diagnostic process, enabling faster and more accurate results, which is expected to drive market growth.

In terms of end-user segments, hospitals dominate the Total PSA market due to the high

This is a method for tracking data updates for our PSA project.

In response to COVID-19, regional Area Agencies on Aging (AAA) and their sub-contractors have been providing additional Information & Assistance calls to connect older adults, adults with disabilities, families, and caregivers to services in the community.

This data set represents the total number of Californians age 60 and over who were provided a meal from the Older Americans Act Title IIIC-1 Nutrition Services Program – Congregate Meals. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

City and municipal-level poverty estimates for 2012, 2009, and 2006

2012 City and Municipal-Level Small Area Poverty Estimates

Source: Philippine Statistics Authority, through a national government funded project on the generation of the 2012 small area estimates on poverty
http://www.nscb.gov.ph/announce/2014/PSA-NSCB_2012MunCity_Pov.asp
Note: Region V, Sorsogon, Bacon is in 2006 and 2009 data but not the 2012 data. According to Wikipedia, Sorgoson City was formed by merging the Bacon and Sorsogon towns.

City and Municipal-Level Poverty Estimates; 2006 and 2009

Source: NSCB/World Bank/AusAID Project on the Generation of the 2006 and 2009 City and Municipal Level Poverty Estimates
http://www.nscb.gov.ph/poverty/dataCharts.asp
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Note: The 2009 city and municipal level poverty estimates for ARMM were revised to reflect on the movement/creation of municipalities and barangays which were not considered in the preliminary estimation of the 2009 city and municipal level poverty estimates published in the NSCB website last 03 August 2013.

Column Header / Description

• Prelim_*year* / Preliminary (indicated by "TRUE" or "FALSE")
• Pov_*year* / Poverty Incidence
• SE_*year* / Standard Error
• CoV_*year* / Coefficient of Variation
• Con_90lower_*year* / 90% Confidence Interval Lower Limit
• Con_90upper_*year* / 90% Confidence Interval Upper Limit