Microsoft Office 2010 Excel Tested Positive For Group' title='Microsoft Office 2010 Excel Tested Positive For Group' />Microsoft. The fiercely competitive software giant is positioning its wares for cloud computing with software and services. The companys two cash cows operating. This July, we asked for software tips from the 2017 Microsoft Office National Champions, a set of charming teens who are officially the best at using PowerPoint, Word. Weekly U. S. Influenza Surveillance Report Seasonal Influenza Flu2. Influenza Season Week 4. November 1. 1, 2. All data are preliminary and may change as more reports are received. Synopsis During week 4. The initial coin offering party is over in China. A committee led by the Peoples Bank of China, the nations central bank, has imposed an immediate ban on new. Microsoft claims Bing, its search engine for people who have just unboxed a new computer and are trying to find out where to download Chrome, is bigger than you think. Latest trending topics being covered on ZDNet including Reviews, Tech Industry, Security, Hardware, Apple, and Windows. Congratulations, your organization has rolled out Yammer, the best darn enterprise social platform on the planet You probably already have some great. Microsoft Office 2010 Excel Tested Positive For Group B' title='Microsoft Office 2010 Excel Tested Positive For Group B' />November 5 1. United States. Viral Surveillance The most frequently identified influenza virus type reported by public health laboratories during week 4. A. The percentage of respiratory specimens testing positive for influenza in clinical laboratories is increasing. Pneumonia and Influenza Mortality The proportion of deaths attributed to pneumonia and influenza P I was below the system specific epidemic threshold in the National Center for Health Statistics NCHS Mortality Surveillance System. Influenza associated Pediatric Deaths No influenza associated pediatric deaths were reported. Wie Mag Elektrische Installatie Keuren. Outpatient Illness Surveillance The proportion of outpatient visits for influenza like illness ILI was 1. One region reported ILI at or above their region specific baseline level. One state experienced high ILI activity two states experienced moderate ILI activity six states experienced low ILI activity New York City, and the District of Columbia, Puerto Rico, and 4. ILI activity. Geographic Spread of Influenza The geographic spread of influenza in Guam, Puerto Rico and nine states was reported as regional 1. U. S. Virgin Islands and 2. District of Columbia and two states reported no activity. National and Regional Summary of Select Surveillance Components. HHS Surveillance RegionsData for current week. Data cumulative since October 1, 2. Out patient ILINumber of jurisdictions reporting regional or widespread activity respiratory specimens positive for flu in clinical laboratoriesAH1. N1pdm. 09. A H3A Subtyping not PerformedB Victoria lineage. B Yamagata lineage. B lineage not performed. Pediatric Deaths. Influenza test results from public health laboratories only. Nation. Normal. 11 of 5. Region 1. Normal. Region 2. Normal. Region 3. Normal. Region 4. Elevated. Region 5. Normal. Region 6. Normal. Region 7. Normal. Region 8. Normal. Region 9. Normal. Region 1. 0Normal. WHO and NREVSS collaborating laboratories, which include both public health and clinical laboratories located in all 5. Puerto Rico, and the District of Columbia, report to CDC the total number of respiratory specimens tested for influenza and the number positive for influenza by virus type. In addition, public health laboratories also report the influenza A subtype H1 or H3 and influenza B lineage information of the viruses they test and the age or age group of the persons from whom the specimens were collected. Additional virologic data, including national, regional and select state level data, can be found at http gis. Age group proportions and totals by influenza subtype reported by public health laboratories can be found at http gis. The results of tests performed by clinical laboratories are summarized below. Week 4. Data Cumulative since. October 1, 2. 01. Week 4. 0No. of specimens tested. No. of positive specimens 6. Positive specimens by type      Influenza A5. Influenza B1. 70 2. View National and Regional Level Graphs and Data View Chart Data View Full Screen View Power. Point Presentation. The results of tests performed by public health laboratories, as well as the age group distribution of influenza positive tests, during the current week are summarized below. Week 4. Data Cumulative since. October 1, 2. 01. Week 4. 0No. of specimens tested. No. of positive specimens. Positive specimens by typesubtype      Influenza A1. AH1. N1pmd. 09. H3. Subtyping not performed. Influenza B1. 9 1. Yamagata lineage. Victoria lineage. Lineage not performed. View National and Regional Level Graphs and Data View Chart Data View Full Screen View Power. Point Presentation. View Interactive Application View Full Screen. Influenza Virus Characterization CDC characterizes influenza viruses through one or more tests including genomic sequencing, hemagglutination inhibition HI andor neutralization assays. These data are used to compare how similar currently circulating influenza viruses are to the reference viruses used for developing influenza vaccines, and to monitor for changes in circulating influenza viruses. Antigenic and genetic characterization of circulating influenza viruses can give an indication of the influenza vaccines ability to produce an immune response against the wide array of influenza viruses co circulating, but vaccine effectiveness estimates are needed to determine how much protection has been provided to the population by vaccination. For nearly all influenza positive surveillance samples received at CDC, next generation sequencing is performed to determine the genetic identity of circulating influenza viruses. Viruses can be classified into genetic groupsclades based on analysis of their HA gene segments using phylogenetics and key amino acid changes Klimov Vaccine 2. A representative subset of influenza positive surveillance samples are antigenically characterized. However, a proportion of influenza AH3. N2 viruses lack sufficient hemagglutination titers for antigenic characterization using hemagglutination inhibition assays. Therefore, CDC selects a representative subset of influenza AH3. N2 viruses for antigenic characterization using the virus neutralization focus reduction assay to assess the ability of various antisera to neutralize infectivity of the test viruses. It is important to monitor circulating influenza viruses for evidence of genetic changes. However, genetic changes do not always result in antigenic change. Extensive genetic variation may exist in circulating viruses, with no evidence of substantial antigenic drift. Close monitoring of influenza viruses is required to better assess the potential impact on public health. Genetic Characterization. During May 2. 1 November 1. United States Figure, left. CDC genetically characterized 5. AH1. N1pdm. 09, 3. AH3. N2, and 1. B viruses collected by U. S. laboratories. Influenza A Viruses A H1. N1pdm. 09 7. 8 The HA gene segment of all influenza AH1. N1pdm. 09 viruses analyzed showed that one virus belonged to clade 6. B, with the remainder belonging to 6. B. 1, the same genetic clade as the vaccine reference virus, AMichigan4. A H3. N2 3. 73 Phylogenetic analysis of the HA genes indicate that multiple cladessubclades are circulating. The HA genes show extensive diversity and belong to clades 3. C. 2a, subclade 3. C. 2a. 1 or 3. C. C. 2a predominating. The vaccine reference virus, AHong Kong4. C. 2a. Influenza B Viruses. BVictoria 3. 4 The HA of influenza BVictoria lineage viruses all belonged to genetic group V1. A, the same genetic clade as the vaccine reference virus, BBrisbane6. Two subgroups of viruses within V1. A have been detected with a double or triple deletion of amino acids in the HA. The majority of the double deletion viruses were identified in the United States, while no triple deletion viruses have been identified in the United States. BYamagata 1. 11 The HA of influenza BYamagata lineage viruses analyzed all belonged to genetic group Y3, the same genetic clade as the vaccine reference virus, BPhuket3. The majority of U. S. viruses submitted for characterization come from state and local public health laboratories. Due to Right Size Roadmap considerations, specimen submission guidance issued to the laboratories request that, if available, 2 influenza A H1. Use the Analysis Tool. Pak to perform complex data analysis. The Two Sample t Test analysis tools test for equality of the population means that underlie each sample. The three tools employ different assumptions that the population variances are equal, that the population variances are not equal, and that the two samples represent before treatment and after treatment observations on the same subjects. For all three tools below, a t Statistic value, t, is computed and shown as t Stat in the output tables. Depending on the data, this value, t, can be negative or nonnegative. Under the assumption of equal underlying population means, if t lt 0, PT lt t one tail gives the probability that a value of the t Statistic would be observed that is more negative than t. If t 0, PT lt t one tail gives the probability that a value of the t Statistic would be observed that is more positive than t. Critical one tail gives the cutoff value, so that the probability of observing a value of the t Statistic greater than or equal to t Critical one tail is Alpha. PT lt t two tail gives the probability that a value of the t Statistic would be observed that is larger in absolute value than t. P Critical two tail gives the cutoff value, so that the probability of an observed t Statistic larger in absolute value than P Critical two tail is Alpha. Test Paired Two Sample For Means. You can use a paired test when there is a natural pairing of observations in the samples, such as when a sample group is tested twice  before and after an experiment. This analysis tool and its formula perform a paired two sample Students t Test to determine whether observations that are taken before a treatment and observations taken after a treatment are likely to have come from distributions with equal population means. This t Test form does not assume that the variances of both populations are equal. Note Among the results that are generated by this tool is pooled variance, an accumulated measure of the spread of data about the mean, which is derived from the following formula. Test Two Sample Assuming Equal Variances. This analysis tool performs a two sample students t Test. This t Test form assumes that the two data sets came from distributions with the same variances. It is referred to as a homoscedastic t Test. You can use this t Test to determine whether the two samples are likely to have come from distributions with equal population means. Test Two Sample Assuming Unequal Variances. This analysis tool performs a two sample students t Test. This t Test form assumes that the two data sets came from distributions with unequal variances. It is referred to as a heteroscedastic t Test. As with the preceding Equal Variances case, you can use this t Test to determine whether the two samples are likely to have come from distributions with equal population means. Use this test when there are distinct subjects in the two samples. Use the Paired test, described in the follow example, when there is a single set of subjects and the two samples represent measurements for each subject before and after a treatment. The following formula is used to determine the statistic value t. The following formula is used to calculate the degrees of freedom, df. Because the result of the calculation is usually not an integer, the value of df is rounded to the nearest integer to obtain a critical value from the t table. The Excel worksheet function T. TEST uses the calculated df value without rounding, because it is possible to compute a value for T. TEST with a noninteger df. Because of these different approaches to determining the degrees of freedom, the results of T. TEST and this t Test tool will differ in the Unequal Variances case.