Preliminary Analysis Sample Clauses

Preliminary Analysis. Pathnet shall complete a detailed analysis of the existing microwave system operated by Incumbent along each Segment set forth in Schedule B and upon completion of such analysis shall deliver the results of such analysis to Incumbent. Such analysis shall include:
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Preliminary Analysis. Except under extraordinary circumstances, within thirty
Preliminary Analysis. Data Layers ElevationDEM_DEM24 contains data that VCGI extracted from XXX and reprojected with the Vermont’s SPCS NAD83. WaterWetlands_NWI contains quads from NWI that were reprojected to the NAD83 coordinate system. It gives the location and classifications of wetlands in Vermont. GeologicSurficial_Surficial62K shows surficial geology features for the state of Vermont. CadastralPublands_CONSPUB displays all of the conserved land in Vermont. BoundaryCounty_CNTYBNDS shows the boundaries of all counties in Vermont (Table 3).
Preliminary Analysis. Except under extraordinary circumstances, within thirty (30) calendar days of its receipt of a complete and accurate Request, indicating whether or not CenturyTel will approve or deny the Request (“Preliminary Analysis”). If If CenturyTel denies **CLEC’s Request, the Preliminary Analysis will provide the reason(s) for such denial (e.g., the requested access, arrangement or service is not technically feasible; CenturyTel is not required to provided the requested access, arrangement or service under Applicable Law; facilities necessary to provide the requested access, arrangement or service are not Currently Available, etc.).
Preliminary Analysis. 37 The library is composed of a core part which provides an abstract framework for the implementation of Galerkin FE methods, and of a set of solvers for specific applica- tions. Although the library was originated as a serial software, recently the developers community implemented a parallel version of the library (in this work we use the se- rial version). Moreover, the software interfaces with external libraries like Boost for containers, basic algorithms and smart pointers, BLAS and LAPACK for standard linear algebra tools, Aztec or Trilinos for matrix manipulation and linear systems solution. Results obtained by the solvers can be post processed using lifefilters methods which take care of writing results on files, in a format compatible with common visual- ization software like Paraview1, Ensight2 or Medit3.
Preliminary Analysis. Of the 16 PAHs measured in the water samples, only 7 appeared consistently in at least 4 sites. The PAHs, BAA, BAP, BKF, BBF, PYR, CHR & FLU were chosen as the compounds of focus for the statistical analysis. The percent recovery for PYR from site O6 was 88%, 84% from site O5, and 93.95% for BBF. Total PAHs concentration ranged from 0.0026 – 0.2043 (mg/L), while human carcinogenic PAHs (BAP, BBF, BKF, BAA, and CHR) ranged from 0.001 – 0.133 (mg/L). The sampling site S6 had the highest total PAHs concentration, while S3 had the lowest concentration [Table 1]. Since the average concentrations of BAP, BKF, BBF, & PYR were statistically significant at the 95% confidence level, we reject the null of hypothesis 3 for these compounds. Therefore average concentrations of the 4 PAHs are significantly higher than the USEPA MCL [Table 2]. Table 1: Total PAHs concentration by sampling site (mg/L) Site Human Carcinogenic PAHs* All PAHs** S1 0.0047 0.0117 S2 0.0028*** 0.0103 S3 0.0010 0.0026 S4 0.0189 0.0252 S5 0.0287 0.0455 S6 0.1327 0.2043 S7 0.0229 0.0350 S8 0.0294 0.0595 O1 0.0020*** 0.0092 O2 0.0390 0.0522 O3 0.0077 0.0281 O4 0.0058 0.0154 O5 0.0070 0.0184 O6 0.0041***
Preliminary Analysis. Prior to presenting a detailed statistical model, I first would like to show some model free evidence that illustrates key patterns in the data. In particular, I am interested in the relationships between playing, earning rewards and purchasing. The goal is to understand how purchasing decisions and reward structures influence player’s decisions to continue to consume the game. The statistics presented in this section come from the random sample of 2,518 players. Play and Purchase On the play side, on average players in the sample play 0.91 game sessions daily. Figure 2 presents the evolution of average number of game sessions played daily over time. On the first several days after registration players are likely to engage in multiple game sessions and this number quickly drops to less than 1 game session and remain relatively steady through time. On the purchase side, the character pack was purchased by 6.87% of players. This pay ratio is relatively high compared to the industry average of 4.02% for North America and 2.43% for Europe (DeltaDNA 2018). The relatively low conversion from free players to pay players in the FTP industry highlights the importance of understanding consumer consumption behavior. Figure 3 shows the timing of character pack purchases. Interestingly, the majority of character pack purchases occur early in the consumer lifecycle. Most of the purchases happen within the first month with the highest purchase intention during the first week, and purchase rates decrease over time. An important observation is that players’ decisions to invest in the game tend to occur relatively quickly. In order to understand the relationship between play and purchase by players, I calculated the average number of game sessions played for the group of player day combinations without the character pack and the group of player day combinations with the character pack purchased (see Table 4). For free users, on average .67 game sessions are played while the number for pack owners is 1.82. At a minimum there is a correlation between purchase and participation.
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Preliminary Analysis. All costs associated with Phase 1 are included in the Guaranteed Maximum Price for Phase 2 and will be absorbed into final Phase 2 pricing. If Customer chooses not to move forward to Phase 2 the Customer has no financial obligation to JCI.
Preliminary Analysis. The Associate Secretary General, or the person so designated, conducts a preliminary analysis of the complaint upon receipt, to determine whether the allegations may reasonably constitute harassment if proven, or constitutes a frivolous claim or complaint that has no serious purpose or value. This analysis aims to assess the relevance of conducting an investigation under the provisions of the Act respecting labour standards. It consists in determining if the allegations can be considered harassment according to the criteria contained in the definition of psychological and sexual harassment provided for in the Act respecting labour standards: • Vexatious behavior (inappropriate, humiliating or offensive); • Hostile or unwanted conduct, verbal comments, actions or gestures; • The repeated nature of the acts; • Undermines a person’s dignity or psychological or physical integrity; • A harmful work environment. A single serious incidence of such behaviour that has a lasting effect may also constitute harassment. A complaint is admissible when it is filed within the last 2 years of the last incidence of harassment. At the end of the preliminary analysis, if the reported facts do not constitute harassment, the Associate Secretary General will notify the complainant. In such a case, even if the complaint is not admissible, other steps may be necessary to resolve the situation denounced and prevent harassment. The Associate Secretary General or the person so designated can: • Consider other ways to resolve the situation; • Propose mediation if the context is indicated; • Refer the complainant, as needed, to the appropriate resources or authorities.
Preliminary Analysis. What: In order to increase the speed with which time sensitive SFE Survey data can be reported to the appropriate persons, certain data points should be cleaned and inserted into an Excel or Google spreadsheet as the data is received. Preliminary data in the spreadsheet, which will be titled the SFE Information Table (see Task 17), should include the following data points in columns ordered by their provided numbers (i.e. column 1 should be last name of student, column 2 should be first name of student): Student Last (1) and First Name (2), Academic Program (i.e. GH, GLEPI, etc.) (3), Host Agency/Organization (4), Region (state for US-based) (5), Country (6), City/Town/Village (7), SFE Title
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