Sentence examples for issues and discrepancies from inspiring English sources

On Thursday, though, in front of the City Council, the mayor acknowledged through gritted teeth that there were "documentation issues" and "discrepancies" in the remediation program, which is run by the New Orleans Affordable Homeownership Corporation, known as NOAH.

He's clearly an Arab, his soul is deeply Palestinian, yet he can call upon the issues and discrepancies of his fellow people with a rigorous eye.

The UUP is also concerned that the public have not been consulted on the legacy issues and the discrepancy over the disclosure of information between the authorities in the UK and the Republic of Ireland.

Additionally, the study also showed that raters were aware of these issues and felt the discrepancies were partly the result of the lack of proper written assessment guidelines.

As data analysis progressed, the researchers met to compare emerging issues, resolve discrepancies and categorise codes into larger themes.

DD and LS then mapped each of the elements of the individual analyses to identify commonalities and discrepancies in issues and themes arising out the data.

To validate results of the GenoType® MTBDRplus assay on sputum samples and address issues related to "double patterns" and discrepancies between molecular (sputum) and phenotypic results, we tested a panel (N = 78) of cultures for RIF and INH resistance using GenoType® MTBDRplus assay (Tables 1 and 4).

The available evidence suggests that mainstream primary health care services have struggled to deal with these issues and improve the Indigenous health discrepancy, and that population specific services are warranted [ 4- 7].

Collaborates with Operations staff to implement internal controls systems and resolve day-to-day issues or discrepancies in financial or supply management.

However, many experimental designs (e.g., selections of marker genes, target vector constructions, and choices of reporter murine strains) have unavoidable technological limitations and bias, which lead to experimental discrepancies, data reproducibility issues, and frequent data misinterpretation.

This was accomplished through discussion of each individual's interpretation, and reaching a consensus on any issues or discrepancies.