Additional Analysis Sample Clauses

Additional Analysis. Data developed under this agreement may be used by The Partner for additional academic and non-commercial research purposes (i.e., analysis) so long as its publication maintains the confidentiality required by the terms of this agreement and that a citation according to academic standards is included.
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Additional Analysis. There are several other drugs linked to falls that may have similar patterns. Additional model variations are possible with this dataset beyond the Logit Model. Moreover, sensitivity analysis can be conducted with drugs other than Fentanyl and Midazolam. Literature Cited Alshammari, S. A., Alhassan, A. M., Aldawsari, M. A., Bazuhair, F. O., Xxxxxxxx, X. X., Aldakhil, A. A., & Abdulfattah, F. W. (2018). Falls among elderly and its relation with their health problems and surrounding environmental factors in Riyadh. Journal of Family & Community Medicine, 25(1), 29–34. xxxxx://xxx.xxx/10.4103/jfcm.JFCM_48_17
Additional Analysis. ‌ The following lemma bounds the size of IT as a function of the size of CT times O(n7).
Additional Analysis. 6.1. Interaction between IFRS adoption and the firm characteristics included in the Incentives variable My main analysis uses a summary Incentives variable to facilitate the calculation and presentation of its interaction with the IFRS adoption dummy. However, to be able to determine which of the firm characteristics drive the delisting pattern of my sample firms, in an untabulated analysis I replace this Incentives variable with the separate firm characteristics included in it and interact each of them with the IFRS dummy. I find that four out of the seven characteristics I use have the expected sign and are statistically significant. These characteristics are SIZE, FEXCH, FSALES, and OWN. From the remaining three variables both GROW and LEV have the expected sign but are not statistically significant, while the coefficient of USList has both the wrong sign and lacks statistical significance. While several firm characteristics determine the delisting decisions of the companies in my sample over the entire sample period, only the interactions between SIZE, Bankind and the IFRS dummy are statistically significant, showing that IFRS increases the cost and therefore the delisting likelihood for smaller firms and firms that belong to the banking and financial industries.

Related to Additional Analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.

  • DATA COLLECTION AND ANALYSIS The goal of this task is to collect operational data from the project, to analyze that data for economic and environmental impacts, and to include the data and analysis in the Final Report. Formulas will be provided for calculations. A Final Report data collection template will be provided by the Energy Commission. The Recipient shall: • Develop data collection test plan. • Troubleshoot any issues identified. • Collect data, information, and analysis and develop a Final Report which includes: o Total gross project costs. o Length of time from award of bus(es) to project completion. o Fuel usage before and after the project.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • Industrial Operations Analyst (IOA ‌ The IOA is a GSA Government official who audits Contractor records and conducts Contractor Assistance Visits (CAVs) to the Contractor’s place of business to assist the Contractor with task order reporting, Contract Access Fee (CAF) management, and other general contract administration functions deemed necessary by the Government.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • Additional Information for Product Development Projects Outcome of product development efforts, such copyrights and license agreements. • Units sold or projected to be sold in California and outside of California. • Total annual sales or projected annual sales (in dollars) of products developed under the Agreement. • Investment dollars/follow-on private funding as a result of Energy Commission funding. • Patent numbers and applications, along with dates and brief descriptions.  Additional Information for Product Demonstrations: • Outcome of demonstrations and status of technology. • Number of similar installations. • Jobs created/retained as a result of the Agreement.

  • Program Narrative All restricted xxxxxx courses which are taught for the purpose of qualifying an individual for restricted xxxxxx license to practice barbering shall consist of a minimum of 1200 hours of training to prepare each restricted xxxxxx to service their communities.

  • Research Use Reporting To assure adherence to NIH GDS Policy, the PI agrees to provide annual Progress Updates as part of the annual Project Renewal or Project Close-out processes, prior to the expiration of the one (1) year data access period. The PI who is seeking Renewal or Close-out of a project agree to complete the appropriate online forms and provide specific information such as how the data have been used, including publications or presentations that resulted from the use of the requested dataset(s), a summary of any plans for future research use (if the PI is seeking renewal), any violations of the terms of access described within this Agreement and the implemented remediation, and information on any downstream intellectual property generated from the data. The PI also may include general comments regarding suggestions for improving the data access process in general. Information provided in the progress updates helps NIH evaluate program activities and may be considered by the NIH GDS governance committees as part of NIH’s effort to provide ongoing stewardship of data sharing activities subject to the NIH GDS Policy.

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