Old Ford

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Last seen on: –NY Times Crossword 14 Jun 20, Sunday

Random information on the term “ERNIE”:

The following 10 pages are in this category, out of 10 total. This list may not reflect recent changes (learn more).

ERNIE on Wikipedia

Random information on the term “LTD”:

In a limited company, the liability of members or subscribers of the company is limited to what they have invested or guaranteed to the company. Limited companies may be limited by shares or by guarantee. The former may be further divided into public companies and private companies. Who may become a member of a private limited company is restricted by law and by the company’s rules. In contrast, anyone may buy shares in a public limited company.

Limited companies can be found in most countries, although the detailed rules governing them vary widely. It is also common for a distinction to be made between the publicly tradable companies of the plc type (for example, the German Aktiengesellschaft (AG), British PLC, Czech a.s., Italian S.p.A. and the Spanish, French, Polish, Greek and Romanian S.A.), and the “private” types of company (such as the German GmbH, British Ltd, Polish sp. z o.o., the Czech s.r.o., the Italian, French, and Romanian s.r.l. and Slovak s.r.o.)

This is a company that does not have share capital, but is guaranteed by its members, who agree to pay a fixed amount in the event of the company’s liquidation. Charitable organisations are often incorporated using this form of limited liability. Another example is the Financial Conduct Authority. In Australia, only an unlisted public company can be limited by guarantee.

LTD on Wikipedia

Random information on the term “TEMPO”:

This category has the following 2 subcategories, out of 2 total.

The following 52 pages are in this category, out of 52 total. This list may not reflect recent changes (learn more).

TEMPO on Wikipedia

Random information on the term “CAPRI”:

Critical Assessment of protein Structure Prediction, or CASP, is a community-wide, worldwide experiment for protein structure prediction taking place every two years since 1994. CASP provides research groups with an opportunity to objectively test their structure prediction methods and delivers an independent assessment of the state of the art in protein structure modeling to the research community and software users. Even though the primary goal of CASP is to help advance the methods of identifying protein three-dimensional structure from its amino acid sequence, many view the experiment more as a “world championship” in this field of science. More than 100 research groups from all over the world participate in CASP on a regular basis and it is not uncommon for entire groups to suspend their other research for months while they focus on getting their servers ready for the experiment and on performing the detailed predictions.

In order to ensure that no predictor can have prior information about a protein’s structure that would put him/her at an advantage, it is important that the experiment be conducted in a double-blind fashion: Neither predictors nor the organizers and assessors know the structures of the target proteins at the time when predictions are made. Targets for structure prediction are either structures soon-to-be solved by X-ray crystallography or NMR spectroscopy, or structures that have just been solved (mainly by one of the structural genomics centers) and are kept on hold by the Protein Data Bank. If the given sequence is found to be related by common descent to a protein sequence of known structure (called a template), comparative protein modeling may be used to predict the tertiary structure. Templates can be found using sequence alignment methods (e.g. BLAST or HHsearch) or protein threading methods, which are better in finding distantly related templates. Otherwise, de novo protein structure prediction must be applied (e.g. Rosetta), which is much less reliable but can sometimes yield models with the correct fold (usually, for proteins less than 100-150 amino acids). Truly new folds are becoming quite rare among the targets, making that category smaller than desirable.

CAPRI on Wikipedia

Random information on the term “METEOR”:

BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine’s output and that of a human: “the closer a machine translation is to a professional human translation, the better it is” – this is the central idea behind BLEU. BLEU was one of the first metrics to achieve a high correlation with human judgements of quality, and remains one of the most popular automated and inexpensive metrics.

Scores are calculated for individual translated segments—generally sentences—by comparing them with a set of good quality reference translations. Those scores are then averaged over the whole corpus to reach an estimate of the translation’s overall quality. Intelligibility or grammatical correctness are not taken into account.

BLEU is designed to approximate human judgement at a corpus level, and performs badly if used to evaluate the quality of individual sentences.

METEOR on Wikipedia