The phrase "ascertainable for" is grammatically correct and can be used in written English.
It means something that can be determined or discovered. It is often used in legal or technical contexts. Example: The terms and conditions of the contract are not ascertainable for the buyer, as they are written in complex legal jargon.
552, 86 L.Ed. 796, provides an ascertainable standard for adjudicating the validity of some foreign acts, and courts are competent to apply this body of law, notwithstanding that there may be some cases where comity dictates giving effect to the foreign act because it is not clearly condemned under generally accepted principles of international law.
Disenchantment has created a world with no objectively ascertainable ground for one's conviction.
Of course, ethical reflection must also be informed by publically ascertainable facts (for instance, by epidemiological data such as is canvassed in Chapter One of this Report, and data from countries which have begun to deal with the issues identified above such as will be provided in Chapter Four).
Clearly it is not ascertainable from the study databases the reason for the length of stay reduction, although it was found both slightly shorter antepartum admissions and slightly shorter postpartum stay contributed.
The diplomat added that Mr. Arafat's true intentions would be obvious in 24 to 48 hours, ascertainable by whether, for example, he tried to arrest those responsible for the shooting on Thursday.
Because there are no easily ascertainable market prices for private companies, subjective judgments play a significant role in their valuation.
However, this test is generally not as accurate a measure of injury from a delay in transport of capital goods, with an ascertainable rental value for the machinery or interest value of the invested sum.
Given the nature of claims-data research, information on baseline clinical severity of the patients was not readily ascertainable; however, proxies for disease severity based on available data were created and used in a multivariate framework to control for mitigating circumstances surrounding MDD and other comorbidities.
In some cases, we are able to predict functions for TFs using N C that are not ascertainable from N T ; these predictions tend to agree with those provided by the literature, when available (Supplementary Table 1).
