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Table 2

Estimation of baseline (bpm) in 26 segments of 13 traces (13 segments corresponding to the initial hour of labor and 13 to the final hour of labor) by three obstetricians

Using IBMD in the gymnast’s evaluation, we can compare observer disagreement and the respective confidence interval (CI) associated with each score system.

The disagreement among judges was assessed as IBMD = 0.090 (95%CI = [0.077;0.104]) considering the old rulebook and IBMD = 0.174 (95%CI = [0.154;0.192]) with new rulebook. Recalling that the value 0 of the IBMD means no disagreement (perfect agreement), these confidence intervals clearly indicate significantly higher observer disagreement in performance evaluation using the new scoring system, compared with the old system.

The disagreement among obstetricians in baseline estimation, considering the initial hour of labor, was IBMD = 0.048 (95%CI = [0.036;0.071]), and during the last hour of labor, IBMD = 0.048 (95%CI = [0.027;0.075]). The results indicate no significant differences in the degree of disagreement among observers between the initial and last hour of labor.

While comparison of the degree of observer disagreement is often required in clinical and epidemiologic studies, the statistical strategies for comparative analyses are not straightforward.

Intraclass correlation coefficient is several times used in this context, however sometimes without careful in choosing the correct form. Even when the correct form of ICC is used to assess agreement, its dependence on variance does not always allow the comparability of populations. Other approaches to assess observer agreement have been proposed 28 29 30 Affordable For Sale Comfortable TOPWEAR Tshirts Jorg Neumann Free Shipping 2018 Clearance Outlet Store Free Shipping Discount mr48Q
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, but comparative analysis across populations is still difficult to achieve. The recently proposed IBMD is a useful tool to compare the degree of disagreement in non-negative ratio scales Womens Miederhose Clara/Mylena Thigh Slimmer Anita Outlet Excellent 2018 For Sale Real For Sale On Hot Sale UrK8VJ4
, and its proposed generalization allowing several observers overcomes an important limitation of this measure in this type of analysis where more than two observers are required.

IBMD generalization provides a useful tool to compare the degree of observer disagreement among different methods, populations or circumstances and allows evaluation of data by different numbers of observers for different cases, an important feature in real situations where some data are often missing.

The free software and available website to compute generalized IBMD and respective confidence intervals facilitates the broad application of this statistical strategy.

Acknowledgements

We acknowledge Paula Pinto from Nélio Mendonça Hospital, Funchal, who allowed us to use the maternal heart rate dataset collected for her PhD studies, approved by the local Research Ethics Committees.

This work was supported by the national science foundation, Fundação para a Ciência e Tecnologia, through FEDER founds though Programa Operacional Fatores de Competitividade – COMPETE through the project CSI2 with the reference PTDC/EIA-CCO/099951/2008, through the project with the reference PEST-C/SAU/UI0753/2011 and though the PhD grant with the reference SFRH /BD/70858/2010.

There are any non-financial competing interests (political, personal, religious, ideological, academic, intellectual, commercial or any other) to declare in relation to this manuscript.

UPDATE

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that prison phone company Securus offers a service enabling law enforcement officers to locate most American cell phones within seconds. Securus' service relies on data from LocationSmart. It was also reported that a LocationSmart bug could have allowed anyone to surreptitiously track the real-time whereabouts of cell phone users.

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"To access this private data, correctional officers simply visit Securus' Web portal, enter any US wireless phone number, and then upload a document purporting to be an official document giving permission to obtain real-time location data," Wyden wrote in a letter to carriers on May 8. "Senior officials from Securus have confirmed to my office that it never checks the legitimacy of those uploaded documents to determine whether they are, in fact, court orders and has dismissed suggestions that it is obligated to do so."

All four carriers told Wyden that they suspended access to Securus. But T-Mobile hasn't promised to cut ties with data aggregators that Securus obtained data from. (T-Mobile and Sprint are attempting to merge but are still separate companies.)

( UPDATE :T-Mobile CEO John Legere wrote on Twitter that his company "will not sell customer location data to shady middlemen." But Legere's statement is vague and he did not specify whether T-Mobile will stop sharing data with LocationSmart or other aggregators. As detailed later in this article, T-Mobile's letter to Wyden on June 15 said that the company will continue sharing data with these aggregators. Since that letter, "our office has not received any updated response from T-Mobile about its policy with respect to location aggregators or other data brokers," a Wyden spokesperson told Ars.)

( FURTHER UPDATE : Several hours after Legere's tweet, T-Mobile provided this statement to Wyden's office: "We ended all transmission of customer data to Securus and will wind down our location aggregator agreements." Wyden's office passed T-Mobile's statement along to Ars.)

FURTHER UPDATE

The Federal Communications Commission is investigating the matter, and Wyden called on FCC Chairman Ajit Pai to recuse himself because he represented Securus as an attorney in 2012.

"Chairman Pai's total abandonment of his responsibility to protect Americans' security shows that he can't be trusted to oversee an investigation into the shady companies that he used to represent," Wyden said. "If your location information falls into the wrong hands, you—or your children—can be vulnerable to predators, thieves, and a whole host of people who would use that knowledge to malicious ends."

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Distribution of calculated KQs We counted the KQ value for each 15-mer and constructed a distribution histogram for and It is apparent that most autosome-derived, Z specific or W unique 15-mers have distinctive KQs. Autosome derived 15-mers have a KQ value around 1 (mainly from 0.3 to 1.8), Z or X derived 15-mers have a KQ value around 2 (mainly from 1.8 to 2.2) and W or Y derived 15-mers have a KQ value around 0. Thus, we can easily identify W specific 15-mers by the KQ value.

Figure 1
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Distribution of calculated KQs We counted the KQ value for each 15-mer and constructed a distribution histogram for and It is apparent that most autosome-derived, Z specific or W unique 15-mers have distinctive KQs. Autosome derived 15-mers have a KQ value around 1 (mainly from 0.3 to 1.8), Z or X derived 15-mers have a KQ value around 2 (mainly from 1.8 to 2.2) and W or Y derived 15-mers have a KQ value around 0. Thus, we can easily identify W specific 15-mers by the KQ value.

In our assumption, these W or Y-specific 15-mers (KQ = 0) could be used as labels to identify sequences from W or Y chromosome. To verify such an assumption, we first applied it to D. melanogaster Y, which has been relatively well sequenced. We aligned all Y-specific 15-mers (Y-15-mers) of D. melanogaster to its genome scaffolds (Genebank assembly accession: GCA_000001215.4), and a parameter named AYK (Amount of Y-15-mers per Kb sequence) was created for each scaffold. Based on the analysis of each scaffold’s AYK value and length ( Fig.2A ), we could show clearly that the majority of scaffolds are Y-derived (red points) when AYK >=10, while scaffolds of X or autosome (blue and green points) are with the AYK < 10 and some unmapped scaffolds (grey points) with AYK value >=10 are also possible Y-derived. The result confirmed that our KQ method could effectively identify Y-linked sequences. Except KQ method, we also applied previous CQ and YGS method in D. melanogaster , and compared the results of three methods to evaluate which method could be most effective (We only selected contigs with AYK >=50 in KQ method to unify the standard of three methods). For 200 already known Y-scaffolds, CQ method could identify only 63 of 200 as Y-linked, whereas YGS identified 106 and our KQ provided 154 Y-scaffolds. Figure2B showed that for more than 5 kb scaffolds, three methods could identify most Y-linked scaffolds, whereas for less than 5 kb, KQ method worked obviously better than the other two methods. Thus, compared with other two methods, KQ method performed more effectively for short scaffolds (less than 5 kb). As Y and W chromosome sequences are usually fragmented into a large number of short and mostly unmapped scaffolds due to highly repetitive sequences, KQ method would have wider application in heterogametic organisms, particularly for the species in which genomic information is still scarce.

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