We compiled macroinvertebrate assemblage data collected from 1995 to 2014 from the St. Louis River Area of Concern (AOC) of western Lake Superior. Our objective was to define depth-adjusted cutoff values for benthos condition classes (poor, fair, reference) to provide tool useful for assessing progress toward achieving removal targets for the degraded benthos beneficial use impairment in the AOC. The relationship between depth and benthos metrics was wedge-shaped. We therefore used quantile regression to model the limiting effect of depth on selected benthos metrics, including taxa richness, percent non-oligochaete individuals, combined percent Ephemeroptera, Trichoptera, and Odonata individuals, and density of ephemerid mayfly nymphs (Hexagenia). We created a scaled trimetric index from the first three metrics. Metric values at or above the 90th percentile quantile regression model prediction were defined as reference condition for that depth. We set the cutoff between poor and fair condition as the 50th percentile model prediction. We examined sampler type, exposure, geographic zone of the AOC, and substrate type for confounding effects. Based on these analyses we combined data across sampler type and exposure classes and created separate models for each geographic zone. We used the resulting condition class cutoff values to assess the relative benthic condition for three habitat restoration project areas. The depth-limited pattern of ephemerid abundance we observed in the St. Louis River AOC also occurred elsewhere in the Great Lakes. We provide tabulated model predictions for application of our depth-adjusted condition class cutoff values to new sample data. This dataset is associated with the following publication: Angradi, T., W. Bartsch, A. Trebitz, V. Brady, and J. Launspach. A depth-adjusted ambient distribution approach for setting numeric removal targets for a Great Lakes Area of Concern beneficial use impairment: Degraded benthos. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 108-120, (2017).

The dataset contains data from 3,786 patients. It is not available for download here, but registered in the FAIR4Health Platform portal.

This SAS program calculates CFI for each patient from analytic data files containing information on patient identifiers, ICD-9-CM diagnosis codes (version 32), ICD-10-CM Diagnosis Codes (version 2020), CPT codes, and HCPCS codes. NOTE: When downloading, store "CFI_ICD9CM_V32.tab", "CFI_ICD10CM_V2020.tab", and "PX_CODES.tab" as csv files (these files are originally stored as csv files, but Dataverse automatically converts them to tab files). Please read "Frailty-Index-SAS-code-Guide" before proceeding. Interpretation, validation data, and annotated references are provided in "Research Background - Claims-Based Frailty Index".

One of four dataset to replicate numbers for tables and figures in the article "Mammography screening: eliciting the voices of informed citizens" by Manja D. Jensen, Kasper M. Hansen, Volkert Siersma, and John Brodersen

In 2020, SAS Institute (short for Statistical Analysis System) generated 50 percent of its software revenue in the Americas region. The company's revenue in that year was three billion U.S. dollars, of which SAS reinvested 27 percent in research and development. This share is significantly higher than with most other software companies.

SAS is one of the leading analytics software providers

With a share of almost 28 percent, SAS Institute is the leading vendor in the global advanced and predictive analytics software market, where SAS competes with IBM, MathWorks, Alteryx, and Microsoft for market share. SAS also holds single to double-digit percentages in all other segments of the overall big data and analytics software market, including BI and analytics tools, artificial intelligence software platforms, analytic data integration and integrity software, and customer relationship analytics applications. The company's share of the overall big data and analytics software market stands at around five percent, putting SAS amongst the top vendors in the market behind Oracle, Microsoft, SAP, IBM, and Salesforce.

90 percent of Fortune 500 companies use SAS products

The SAS Institute developed out of a project at the agricultural department at the North Carolina State University in the 1960s. The company's current CEO James Goodnight and other participants of the project established it as a private company in 1976. As of 2020, the company had 12,545 employees worldwide, selling and providing its software analytics products and services to customers in 145 countries. The company's software is installed at more than 82 thousand government, university, and business sites and is used by more than 90 percent of the top companies on the 2020 Fortune 500 list.

This dataset comprises the data collected for the Sub-state Autonomy Scale (SAS). The SAS is an indicator measuring the autonomy demands and statutes of sub-state communities in kind (whether competences are administrative or legislative), in degree (how much each dimension is present) and by competences (as a function of the extent of comprised policy domains). Definitions: -By 'sub-state community', I refer to sub-state entities within countries for which autonomous institutions have been demanded by a significant regionalist or traditional (centrist, liberal or socialist main-stream) political party (>5%) or to which autonomous institutions have been conferred. -By 'autonomy statutes', I refer to the legal autonomy prerogatives obtained by sub-state communities. -For 'autonomy demands', I distinguish between the legal autonomy prerogatives demanded by the regionalist party with the highest vote share and those demanded by the traditional party with the largest autonomy demand. Detailed conceptual presentation: see the Regional Studies article cited below (the open access author version can be found in the files section). Specifications: -Unit of analysis: sub-state communities by yearly intervals. -Country coverage: Belgium, Spain, United Kingdom (31 sub-state communities). -Time coverage: 1707-2020 (starting dates vary across sub-state communities). *For the full list of sub-state communities and their respective time coverage, see the codebook. Citation and acknowledgement: when using the data, please cite the Regional Studies article listed below. Latest version: 1.0 [01.02.2022].

Matching is frequently used in observational studies, especially in medical research. However, only a small number of articles with matching programs for the SAS software (SAS Institute Inc., Cary, NC, USA) are available, even less are usable for inexperienced users of SAS software. This article presents a matching program for the SAS software and links to an online repository for examples and test data. The program enables matching on several variables and includes in-depth explanation of the expressions used and how to customize the program. The selection of controls is randomized and automated, minimizing the risk of selection bias. Also, the program provides means for the researcher to test for incomplete matching.

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.

The global Serial Attached SCSI (SAS) Solid-State Drive (SSD) market is experiencing robust growth, driven by the increasing demand for high-performance data storage solutions across various industries. The market's expansion is fueled by several key factors, including the rising adoption of cloud computing, the proliferation of big data analytics, and the need for faster data processing speeds in enterprise applications. The increasing need for improved data reliability and reduced latency in mission-critical applications such as data centers and financial institutions is further bolstering the market's growth trajectory. While the exact market size and CAGR are not provided, considering the high growth rate typically seen in the SSD market and the premium nature of SAS SSDs compared to SATA SSDs, a reasonable estimate for 2025 market size might be in the range of $2 billion to $3 billion, with a CAGR of around 10-15% projected for the forecast period (2025-2033). This growth is anticipated to be driven by advancements in SAS technology, offering higher throughput and enhanced reliability compared to other interface technologies. However, the market faces some constraints, including the relatively high cost of SAS SSDs compared to other alternatives like SATA SSDs and NVMe SSDs. The competition from NVMe SSDs, offering even higher speeds, represents a significant challenge. The market is segmented by type (e.g., 2.5-inch, M.2) and application (e.g., enterprise servers, data centers, networking equipment). Key players like Kingston Technology, Micron, Samsung, Toshiba, and Western Digital are actively competing through product innovation and strategic partnerships to capture market share. Regional analysis reveals a strong presence in North America and Europe, which are expected to continue leading the market due to established IT infrastructure and high technological adoption rates. Asia Pacific is anticipated to witness significant growth driven by expanding data centers and increasing digitalization efforts. The future of the SAS SSD market hinges on technological innovation and the evolving needs of enterprise customers. While NVMe SSDs are gaining traction, SAS SSDs will likely retain a significant presence due to their reliability and compatibility with existing infrastructure. Furthermore, developments in SAS technology aiming for higher density and improved performance will help maintain its competitive edge. The market's growth will also be shaped by factors like cloud service provider investments in data center infrastructure and the rising demand for high-capacity storage solutions for AI and machine learning applications. Continued advancements in SAS SSD technology, focusing on cost reduction and performance enhancements while maintaining reliability, will be crucial for sustaining market growth over the forecast period.

One of three dataset to replicate numbers for tables and figures in the article "Using a Deliberative Poll on breast cancer screening to assess and improve the decision quality of laypeople" by Manja D. Jensen, Kasper M. Hansen, Volkert Siersma, and John Brodersen

Scandinavian Airlines’ passenger numbers dropped by nearly three quarters between 2019 and 2021 to around 7.4 million passengers due to the coronavirus pandemic. The number of passengers on Scandinavian Airlines flights began rising again in the financial year 2022, totaling 17.9 million scheduled passengers that year. The positive trend persisted in the subsequent year, 2024, with an approximately 25.2 million passengers.

The table presents the percentage of problems where SAS-Pro performed better than, or at par with CE, SSM, and STSA. In addition, the table presents the average improvement in the RMSD, SI, SAS scores for these problems when SAS-Pro is used instead of other solvers.

The global HD-mini SAS Cable market size was valued at USD XX million in 2025 and is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The increasing adoption of HD-mini SAS in data centers and enterprise applications, such as high-performance computing (HPC) and cloud computing, is driving the growth of the market. Moreover, the rising demand for high-speed data transmission and the proliferation of data-intensive applications are further contributing to the market growth. The market is segmented based on application into enterprise storage, data centers, and cloud computing. The enterprise storage segment held the largest share in 2025 and is expected to maintain its dominance throughout the forecast period. This growth is attributed to the increasing adoption of HD-mini SAS in storage systems due to its high-speed data transfer capabilities and reliability. The data centers segment is anticipated to grow at a significant CAGR during the forecast period. This growth is driven by the rising adoption of HD-mini SAS in data centers for high-speed data connectivity between servers and storage devices.

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.

Situation Awareness Systems (SAS) Market Outlook

In 2023, the Situation Awareness Systems (SAS) market size was valued at approximately USD 27.5 billion and is projected to reach USD 55.2 billion by 2032, exhibiting a robust CAGR of 8% during the forecast period. The growth of this market is primarily driven by the increasing importance of situational awareness across various sectors such as military, defense, aviation, and healthcare. As global threats become more sophisticated, the demand for advanced SAS technologies that provide real-time data analysis and decision-making capabilities is expected to rise, fueling market growth.

The primary growth factor for the SAS market is the escalating demand for enhanced security and safety measures across different industry verticals. The military and defense sectors are major contributors, as they continuously seek cutting-edge technologies to improve battlefield awareness and decision-making processes. The rise in global defense budgets, coupled with the prevalent geopolitical tensions, is accelerating the adoption of sophisticated SAS solutions. These systems offer a range of capabilities, from threat detection and assessment to real-time information sharing among defense personnel, significantly enhancing the overall operational efficiency and mission success rates.

Technological advancements in SAS are another critical factor propelling the market's growth. Innovations such as artificial intelligence, machine learning, and the Internet of Things (IoT) have revolutionized SAS, enabling more accurate and faster data processing and analysis. These technologies facilitate the integration of multiple data sources, providing a comprehensive situational picture that aids in predictive analytics and strategic planning. Additionally, the growing trend of digital transformation across industries is further contributing to the market's expansion, as organizations seek to leverage SAS for improved operational oversight and risk management.

The increasing frequency of natural disasters and the need for effective emergency response systems are also driving the demand for SAS solutions. The healthcare and automotive sectors are witnessing significant adoption of these systems to enhance patient care and vehicle safety, respectively. In healthcare, SAS is used for monitoring patient vitals and managing critical situations in real-time, thereby improving patient outcomes. In the automotive industry, the integration of SAS into vehicles enhances driver safety through advanced driver-assistance systems (ADAS) that provide real-time alerts and hazard detection, preventing accidents and saving lives.

Airborne Situational Awareness Systems play a crucial role in aviation and defense sectors, providing pilots and military personnel with real-time data on environmental conditions, potential threats, and navigational information. These systems are designed to enhance the safety and efficiency of flight operations by integrating advanced technologies such as radar, GPS, and communication systems. In the military context, Airborne Situational Awareness Systems enable forces to maintain a tactical advantage by delivering timely intelligence and facilitating coordinated actions. As the demand for enhanced airspace management and defense capabilities grows, the adoption of these systems is expected to increase, driving innovation and development in the SAS market.

Regionally, North America holds the largest share of the SAS market, driven by the presence of major defense contractors and the region's focus on technological innovation. The Asia Pacific region is expected to witness the highest growth rate, attributed to increasing defense expenditures and rapid technological advancements in countries like China and India. Europe also presents significant growth opportunities due to the rising adoption of SAS solutions in industries like automotive and healthcare. The Middle East & Africa and Latin America are gradually increasing their share as governments focus on strengthening their defense capabilities and improving public safety infrastructure.

Component Analysis

The component segment of the Situation Awareness Systems (SAS) market comprises sensors, displays, software, and others, each playing a pivotal role in the overall efficiency and effectiveness of these systems. Sensors form the backbone of SAS, providing critical data inputs that are essential for accurate situational analy

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.

This file contains the FHIR CapabilityStatement and FHIR Provenance ressources created within this use case in the local onFHIR store. It covers both #1 Characterization of multimorbidity patterns and association with health outcomes in the elderly and #2 Early prediction service for 30-days readmission risk in COPD patients.

The global Mini SAS HD Connector market size is projected to reach USD XX million by 2033, exhibiting a CAGR of XX% during the forecast period. This growth can be attributed to the increasing demand for high-speed data transfer in various end-use industries, such as enterprise computing, data centers, and telecommunications. Additionally, the growing adoption of cloud computing and the Internet of Things (IoT) is driving the need for robust and reliable data connectivity, which is expected to further fuel the growth of the Mini SAS HD Connector market. The Mini SAS HD Connector market is highly competitive, with a wide range of established and emerging players. Key market players include TE Connectivity, Amphenol, BizLink, Fischer Connectors, CS Electronics, SANS Digital, Molex, Coxoc, Starconn, LSI, 3M, ACES Group, Samtec, Qualwave, Delock, Eaton, WUTONG GROUP, CZT, Next Group, and Conshare. These players are constantly innovating and expanding their product offerings to meet the evolving needs of their customers. The market is also characterized by the presence of regional and local suppliers, which cater to specific regional or application-based requirements.

Explore the historical Whois records related to sas.download (Domain). Get insights into ownership history and changes over time.

Spindle assembly abnormal 6 Involved in microtubule organizing center organization and protein localization to centrosome. Located in centriole; centrosome; and ciliary basal body. Human ortholog(s) of this gene implicated in primary autosomal recessive microcephaly 14. Orthologous to human SASS6 (SAS-6 centriolar assembly protein). Spindle assembly abnormal 6 (Sas-6) encodes a centriole protein that is essential for centriole assembly. It can homo-oligomerise to form a 9-fold symmetric "cartwheel" structure that plays an important part in setting the 9-fold symmetry of the assembling centriole.