Between 2020 and 2024, the data protection supervisory authorities in Cyprus had the highest change in budget among the European Union countries, as their authority's budget grew by 130 percent during the measured period. The second-highest increase in budget was recorded at the Austria's data protection authority.

This SAS code extracts data from EU-SILC User Database (UDB) longitudinal files and edits it such that a file is produced that can be further used for differential mortality analyses. Information from the original D, R, H and P files is merged per person and possibly pooled over several longitudinal data releases. Vital status information is extracted from target variables DB110 and RB110, and time at risk between the first interview and either death or censoring is estimated based on quarterly date information. Apart from path specifications, the SAS code consists of several SAS macros. Two of them require parameter specification from the user. The other ones are just executed. The code was written in Base SAS, Version 9.4. By default, the output file contains several variables which are necessary for differential mortality analyses, such as sex, age, country, year of first interview, and vital status information. In addition, the user may specify the analytical variables by which mortality risk should be compared later, for example educational level or occupational class. These analytical variables may be measured either at the first interview (the baseline) or at the last interview of a respondent. The output file is available in SAS format and by default also in csv format.

Edit Machinery And Tools Sas Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Live release rate for companion animals

Alter Oaks Sas Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

PLOSsyphThis is an ASCII file that is space delimited that was created in SAS. It has the variables that were used in the published paper. The readme.sas file is a .sas file that reads the data. You will need to change the infile statement to reflect the path to where you put the data.

The raw data for each of the analyses are presented. Baseline severity difference (probands only) (Figure A in S1 Dataset), Repeated measures analysis of change in lesion severity (Figure B in S1 Dataset). Logistic regression of survivorship (Figure C in S1 Dataset). Time to cure (Figure D in S1 Dataset). Each data set is given as a SAS code for the data itself, and the equivalent analysis to that performed in JMP (and reported in the text). Data are presented in SAS format as this is a simple text format. The data and code were generated as direct exports from JMP, and additional SAS code added as needed (for instance, JMP does not export code for post-hoc tests). Note, however, that SAS rounds to less precision than JMP, and can give slightly different results, especially for REML methods. (DOCX)

Exercise data set for the SAS book by Uehlinger. Sample of individual variables and cases from the data set of ZA Study 0757 (political ideology). Topics: most important political problems of the country; political interest; party inclination; behavior at the polls in the Federal Parliament election 1972; political participation and willingness to participate in political protests. Demography: age; sex; marital status; religious denomination; school education; interest in politics; party preference. Übungsdatensatz zum SAS-Buch von Uehlinger. Auswahl einzelner Variablen und Fälle aus dem Datensatz der ZA-Studie 0757 (Politische Ideologie). Themen: Wichtigste politische Probleme des Landes; politisches Interesse; Parteineigung; Wahlverhalten bei der Bundestagswahl 1972; politische Partizipation und Teilnahmebereitschaft an politischen Protesten. Demographie: Alter; Geschlecht; Familienstand; Konfession; Schulbildung; Politikinteresse; Parteipräferenz. Random selection Zufallsauswahl Oral survey with standardized questionnaire

File List SAS_code_for_D2_partition_revised.txt

Description SAS code (SAS Institute 2001) to produce Mahalanobis D2 and its partitions (Clark et al. 1993, Dunn and Duncan 2000, Rotenberry et al. 2002). Code modified from Duncan and Dunn (2001). Text may be pasted directly into SAS Editor. User must either ensure appropriately named SAS library and data sets already exist, or modify code to conform to user's existing library and data set names. Further directions appear as comments within body of SAS code.

To analyze these data as presented, you must have the SAS system software (e.g.SAS 2016) installed. Once you have unpacked the ZIP file, change the path within the SAS files to point to the directory where you have unpacked the data, and run the programs, which have .SAS extensions. Some data are in .csv files, but most are in SAS data sets. If you do not have SAS, you can still use conversion utilities in other software, such as R, to read that data.

SAS Institute, Inc. 2016.The SAS System for Windows, Release 9.4.SAS Institute, Cary, NC.

SAS Code for Spatial Optimization of Supply Chain Network for Nitrogen Based Fertilizer in North America, by type, by mode of transportation, per county, for all major crops, using Proc OptModel. the code specifies set of random values to run the mixed integer stochastic spatial optimization model repeatedly and collect results for each simulation that are then compiled and exported to be projected in GIS (geographic information systems). Certain supply nodes (fertilizer plants) are specified to work at either 70 percent of their capacities or more. Capacities for nodes of supply (fertilizer plants), demand (county centroids), transhipment nodes (transfer points-mode may change), and actual distance travelled are specified over arcs.

Demand for professional photographic activities in France is driven by consumer preferences for personalised and bespoke experiences, as well as corporate and advertising demands for high-quality visual content. Weddings, in particular, provide lucrative revenue opportunities for photographers, with a steady marriage rate in France supporting demand. Advertising agencies command a large share of demand as they seek professionally captured photos and video content for their marketing campaigns. Revenue is expected to climb at a compound annual rate of 4.2% over the five years through 2025, including a 0.5% hike in 2025 to €1.4 billion. Revenue plummeted in 2020 due to COVID-19 restrictions across France, which squeezed advertising budgets and led to the postponement of many weddings, corporate events, conferences and sports and cultural events. Professional photographers in France witnessed a rebound in revenue in 2021 and 2022 with the resumption of corporate events and personal photoshoots. However, inflationary pressures and geopolitical tensions have constrained consumer and business spending on non-essential services, including professional photography. This has led to restrained industry revenue growth from late 2022 onwards. The proliferation of smartphones with high-quality cameras and user-friendly photo-enhancing apps has intensified competition from amateur photographers, creating pricing pressures and squeezing demand for traditional professional photography services. However, the digital shift also brings opportunities, as sectors like advertising and e-commerce seek professional photography to enhance their online presence. Revenue is projected to climb at a compound annual rate of 1.1% over the five years through 2030 to €1.4 billion. Easing inflation and lower interest rates in France will drive business and consumer expenditure on photography services. Positive business sentiment will encourage businesses to hike spending on services like product photography and corporate event photography. Although a stagnant marriage rate in France may temper growth in wedding photography, expanding disposable incomes are likely to fuel private spending on personal event photoshoots. The competition from smartphones with advanced camera capabilities, which allow individuals to take and edit high-quality photos themselves anytime, anywhere, will encourage French photographic companies to target niche markets like aerial drones and industrial photography. Integrating advanced technologies like AI and VR can offer photographers new revenue streams and competitive advantages. Companies integrating advanced technologies will benefit from enhanced operational efficiency, attracting more clients and improving profitability, while those that fail to invest in technology tools will fall behind.

PurposeChronic Respiratory Disease Questionnaire Self-Administered Standardized (CRQ-SAS) is a valid and reliable tool that evaluates the health-related quality of life among the adult population affected with chronic respiratory disorders (CRDs) and has been translated into many languages as per need. The main objective of this study was to translate the CRQ-SAS into the Urdu language and evaluate its psychometric properties.MethodologyIt was a two-staged study that consisted of translating the original version into Urdu language and then psychometric testing of the translated version. The reliability of the translated questionnaire was assessed by measuring its internal consistency, test-retest reliability, standard error of mean (SEM) & minimal detectable change (MDC). Validity was determined by evaluating its content for content validity, construct (convergent and discriminative) validity, and exploratory factor analysis. Data was analyzed using SPSS v 28 with an alpha level < 0.05 considered to be significant.ResultsCRQ-SAS U had an excellent internal consistency (Cronbach’s Alpha α = 0.89), test-retest reliability (ICC2,1) = 0.91 of all items, and low SEM = 0.11 and MDC = 0.65. S-CVI was 0.9, with statistically significant difference across the response of COPD patients and healthy subjects, and a high degree of correlation with St Georges Respiratory Questionnaire (r = 0.7–0.9) proving CRQ-SAS U content, discriminant and convergent valid respectively. Exploratory factor analysis identified two factors responsible for 80% of the variance.ConclusionCRQ-SAS U demonstrated optimal psychometric properties which renders it to be used in Urdu speaking populations with COPD.

Revenue in the Photographic Activities industry in Europe is anticipated to contract at a compound annual rate of 5.8% to €11.4 billion over the five years through 2024. This decline in revenue is predominately due to the damage caused by the COVID-19 outbreak inflicted on much of the industry’s major photographic activities. The growth of online and amateur photography services has also greatly increased the industry’s revenue decline. The digitalisation of photography and reduced cost of photographic equipment have lowered the industry’s barriers to entry, adding intense emphasis on price and quality of service offered, eating into profitability. In 2023-24, revenue is expected to tumble by 3.2% as companies and individuals remain cautious of inflationary pressures and underperforming consumer and business sentiment. Eurozone inflation is declining at a faster rate than anticipated; however, favourable levels are unlikely to be reached until mid-2024. Revenue is expected to grow at a compound annual rate of 2.5% over the five years through 2029 to €12.9 billion. Photographic companies will benefit from the continued growth in online advertising and photography opportunities, including social media. Increased price competition from amateur photographers may prove challenging to weather for many, slashing profitability.

The Workstation-class RAID Controller Card market is experiencing robust growth, driven by the increasing demand for high-performance computing and data storage solutions in professional workstations. The market's expansion is fueled by several key factors, including the proliferation of data-intensive applications in fields like video editing, 3D modeling, and scientific research. These applications require fast, reliable, and scalable storage solutions, pushing the demand for advanced RAID controller cards that offer features such as high data transfer rates, enhanced data protection, and robust hardware RAID capabilities. Furthermore, the growing adoption of NVMe technology is significantly impacting the market, as NVMe-based RAID controllers offer superior performance compared to traditional SATA and SAS-based solutions. We estimate the market size to be approximately $500 million in 2025, with a Compound Annual Growth Rate (CAGR) of 8% projected for the forecast period (2025-2033). This growth trajectory reflects the continued adoption of workstation-class RAID controllers across various industries. Major players like AMETEK, Keysight, and Advanced Energy are driving innovation within the market, constantly introducing new products with improved performance and features. However, the market faces challenges like the increasing complexity of RAID technology and the rising cost of high-end components. Despite these restraints, the long-term outlook remains positive due to the continuous need for enhanced data storage and management solutions in professional workstations. The segmentation of the market is largely defined by interface type (e.g., SAS, SATA, NVMe), RAID levels supported, and the target application (e.g., video editing, CAD/CAM). Regional variations in market penetration are likely driven by the concentration of industries employing high-performance workstations in regions such as North America and Europe. This market analysis suggests significant investment opportunities exist for companies focusing on innovation and catering to the specific demands of various professional work environments.

This dataset includes profile discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen and other parameters measured during the R/V Oden SAS-Oden 2021 (SO21) cruise (EXPOCODE 77DN20210725) in the Arctic Ocean from 2021-07-25 to 2021-09-20. The SAS-Oden 2021 expedition (SO21) with icebreaker Oden1 (IB Oden) is the Swedish contribution to the international scientist-driven initiative †Synoptic Arctic Survey†(SAS)2. SAS will collect primary ecosystem data in the Arctic Ocean in 2020-2022 from both ice-breaking and non-ice-breaking research vessels. The goal of SAS is to generate a comprehensive dataset that allows for an improved characterization of the Arctic Ocean with respect to its (1) physical oceanography, (2) marine ecosystems and (3) carbon cycle. The complete SAS dataset will provide a unique baseline that will allow for tracking climate change and its impacts as they unfold in the Arctic region over the coming years, decades and centuries.

Data from World Development Indicators and Climate Change Knowledge Portal on climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use.

Revenue in the Photographic Activities industry in Europe is anticipated to contract at a compound annual rate of 5.8% to €11.4 billion over the five years through 2024. This decline in revenue is predominately due to the damage caused by the COVID-19 outbreak inflicted on much of the industry’s major photographic activities. The growth of online and amateur photography services has also greatly increased the industry’s revenue decline. The digitalisation of photography and reduced cost of photographic equipment have lowered the industry’s barriers to entry, adding intense emphasis on price and quality of service offered, eating into profitability. In 2023-24, revenue is expected to tumble by 3.2% as companies and individuals remain cautious of inflationary pressures and underperforming consumer and business sentiment. Eurozone inflation is declining at a faster rate than anticipated; however, favourable levels are unlikely to be reached until mid-2024. Revenue is expected to grow at a compound annual rate of 2.5% over the five years through 2029 to €12.9 billion. Photographic companies will benefit from the continued growth in online advertising and photography opportunities, including social media. Increased price competition from amateur photographers may prove challenging to weather for many, slashing profitability.

Accident - (1975-current): This data file contains information about crash characteristics and environmental conditions at the time of the crash. There is one record per crash. FARS data are made available to the public in Statistical Analysis System (SAS) data files as well as Database Files (DBF). Over the years changes have been made to the type of data collected and the way the data are presented in the SAS data files. Some data elements have been dropped and new ones added, coding of individual data elements has changed, and new SAS data files have been created. Coding changes and the years for which individual data items are available are shown in the “Data Element Definitions and Codes” section of this document. The FARS Coding and Editing Manual contains a detailed description of each SAS data elements including coding instructions and attribute definitions. The Coding Manual is published for each year of data collection. Years 2001 to current are available at: http://www-nrd.nhtsa.dot.gov/Cats/listpublications.aspx?Id=J&ShowBy=DocType Note: In this manual the word vehicle means in-transport motor vehicle unless otherwise noted.

This layer is sourced from maps.bts.dot.gov.

Abstract (en): The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from 94 district and 12 appellate court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information. For the appellate and civil data, the unit of analysis is a single case. The unit of analysis for the criminal data is a single defendant. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. All federal court cases, 1970-2000. 2012-05-22 All parts are being moved to restricted access and will be available only using the restricted access procedures.2005-04-29 The codebook files in Parts 57, 94, and 95 have undergone minor edits and been incorporated with their respective datasets. The SAS files in Parts 90, 91, 227, and 229-231 have undergone minor edits and been incorporated with their respective datasets. The SPSS files in Parts 92, 93, 226, and 228 have undergone minor edits and been incorporated with their respective datasets. Parts 15-28, 34-56, 61-66, 70-75, 82-89, 96-105, 107, 108, and 115-121 have had identifying information removed from the public use file and restricted data files that still include that information have been created. These parts have had their SPSS, SAS, and PDF codebook files updated to reflect the change. The data, SPSS, and SAS files for Parts 34-37 have been updated from OSIRIS to LRECL format. The codebook files for Parts 109-113 have been updated. The case counts for Parts 61-66 and 71-75 have been corrected in the study description. The LRECL for Parts 82, 100-102, and 105 have been corrected in the study description.2003-04-03 A codebook was created for Part 105, Civil Pending, 1997. Parts 232-233, SAS and SPSS setup files for Civil Data, 1996-1997, were removed from the collection since the civil data files for those years have corresponding SAS and SPSS setup files.2002-04-25 Criminal data files for Parts 109-113 have all been replaced with updated files. The updated files contain Criminal Terminations and Criminal Pending data in one file for the years 1996-2000. Part 114, originally Criminal Pending 2000, has been removed from the study and the 2000 pending data are now included in Part 113.2001-08-13 The following data files were revised to include plaintiff and defendant information: Appellate Terminations, 2000 (Part 107), Appellate Pending, 2000 (Part 108), Civil Terminations, 1996-2000 (Parts 103, 104, 115-117), and Civil Pending, 2000 (Part 118). The corresponding SAS and SPSS setup files and PDF codebooks have also been edited.2001-04-12 Criminal Terminations (Parts 109-113) data for 1996-2000 and Criminal Pending (Part 114) data for 2000 have been added to the data collection, along with corresponding SAS and SPSS setup files and PDF codebooks.2001-03-26 Appellate Terminations (Part 107) and Appellate Pending (Part 108) data for 2000 have been added to the data collection, along with corresponding SAS and SPSS setup files and PDF codebooks.1997-07-16 The data for 18 of the Criminal Data files were matched to the wrong part numbers and names, and now have been corrected. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. (1) Several, but not all, of these record counts include a final blank record. Researchers may want to detect this occurrence and eliminate this record before analysis. (2) In July 1984, a major change in the recording and disposition of an appeal occurred, and several data fields dealing with disposition were restructured or replaced. The new structure more clearly delineates mutually exclusive dispositions. Researchers must exercise care in using these fields for comparisons. (3) In 1992, the Administrative Office of the United States Courts changed the reporting period for statistical data. Up to 1992, the reporting period...