The GRE Subject Tests are designed to help graduate
school admission committees and fellowship sponsors
assess the qualifications of applicants in specific fields
of study. The tests also provide you with an assessment
of your own qualifications.
Scores on the tests are intended to indicate
knowledge of the subject matter emphasized in many
undergraduate programs as preparation for graduate
study. Because past achievement is usually a good
indicator of future performance, the scores are helpful
in predicting success in graduate study.
Structural Testing is used to verify the static strength, or fatigue strength of a component by applying measured loads to the test item. Testing can be done to failure, to contractual requirements or to validate finite element model predictions. DTB has successfully completed thousands of structural tests on items ranging in size and complexity from simple coupons to entire aircraft.
Fatigue Testing is carried out with the objective of determining the relationship between the stress range and the number of times it can be applied before causing failure....
IQ Brainteasers is the ultimate test of your brain power. Packed with over 300 puzzles, your visual, mathematical and lateral thinking abilities will be stretched to the limit. Also included are some Japanese puzzles sudoku, Bridges and Slitherlink which will really get your brain cells working.
The purpose of laboratory testing of seed germination is to assess seed quality or viability and to predict performance
of the seed and seedling in the field. A NOTIFIED laboratory under SEEDS ACT or qualified laboratory of 1STA for
testing seeds must test seed processed for sale. The ultimate aim of testing the germination in seed testing laboratory
is to obtain information about the planting value of the seed sample and by inference the quality of the seed lot.
We present a series of experiments on automatically identifying the sense of implicit discourse relations, i.e. relations that are not marked with a discourse connective such as “but” or “because”. We work with a corpus of implicit relations present in newspaper text and report results on a test set that is representative of the naturally occurring distribution of senses. We use several linguistically informed features, including polarity tags, Levin verb classes, length of verb phrases, modality, context, and lexical features. ...
This paper examines the feasibility of using statistical methods to train a part-of-speech predictor for unknown words. By using statistical methods, without incorporating hand-crafted linguistic information, the predictor could be used with any language for which there is a large tagged training corpus. Encouraging results have been obtained by testing the predictor on unknown words from the Brown corpus. The relative value of information sources such as affixes and context is discussed.
Text prediction is the task of suggesting text while the user is typing. Its main aim is to reduce the number of keystrokes that are needed to type a text. In this paper, we address the inﬂuence of text type and domain differences on text prediction quality. By training and testing our text prediction algorithm on four different text types (Wikipedia, Twitter, transcriptions of conversational speech and FAQ) with equal corpus sizes, we found that there is a clear effect of text type on text prediction quality: training and testing on the same text type gave percentages of saved...
Although dyspnea is a common symptom, there has been only limited investigation of
its prognostic significance among patients referred for cardiac evaluation.
We studied 17,991 patients undergoing myocardial-perfusion single-photon-emission
computed tomography during stress and at rest. Patients were divided into five categories
on the basis of symptoms at presentation (none, nonanginal chest pain, atypical angina,
typical angina, and dyspnea).
In this paper, we examined click patterns produced by users of Yahoo! search engine when prompting deﬁnition questions. Regularities across these click patterns are then utilized for constructing a large and heterogeneous training corpus for answer ranking. In a nutshell, answers are extracted from clicked web-snippets originating from any class of web-site, including Knowledge Bases (KBs). On the other hand, nonanswers are acquired from redundant pieces of text across web-snippets.
This paper describes an algorithm to automatically generate a list of cognates in a target language by means of Support Vector Machines. While Levenshtein distance was used to align the training file, no knowledge repository other than an initial list of cognates used for training purposes was input into the algorithm. Evaluation was set up in a cognate production scenario which mimed a reallife situation where no word lists were available in the target language, delivering the ideal environment to test the feasibility of a more ambitious project that will involve language portability. ...
(BQ) Part 1 book "Molecular diagnostics for dermatology" presents the following contents: Introduction, basics of nucleic acids and molecular biology, molecular methods; risk assessment, diagnosis, and prognosis - using molecular tools to diagnose melanoma, predict its behavior and evaluate for inheritable forms,...
New English File, as the name implies, is a new and improved version of English File. Unlike the original English File, the four levels (Beginner, Pre-Intermediate, Intermediate and Upper-Intermediate), the new version is a version of the first two levels (Beginner and Pre-Intermediate.)
Grammar: Chapter 13 and chapter 14 - The future with Be going to, will, and The present continuous. INTENTIONS AND PLAN S: Use BE GOING TO and THE PRESENT CONTINUOUS
to talk about intentions or future plans.
For example: 1. I’m going to study hard for the test. (= I am studying hard for
2. She’s going to visit Greece this summer. (= She’s visiting
Greece this summer.)
This study uses what Cresswell (2003) refers to as a ‘mixed methods approach’, one that combines
quantitative and qualitative data collection and a ‘sequential explanatory strategy’ in which the
collection and analysis of the quantitative data is followed by the collection and analysis of the
qualitative data (p 215).
In some ways this theory has played out in practice. In offices everywhere around the world, files and records are increasingly being stored electronically rather than on paper. But the prediction has not proven to be entirely true. Documents are often printed out in part or in their entirety in order to be reviewed or shared with others.
This thesis addresses two neural network based control systems. The ﬁrst is a neural network based predictive controller. System identiﬁcation and controller design are discussed. The second is a direct neural network controller. Parameter choice and training methods are discussed. Both controllers are tested on two diﬀerent plants. Problems regarding implementations are discussed. First the neural network based predictive controller is introduced as an extension to the generalised predictive controller (GPC) to allow control of non-linear plant.
Specific writing prompts administered during
testing are developed with the assistance of
external prompt writers who are recruited on
the basis of their expertise and to reflect the
diversity of the populations served by the
ACT. ACT prompt writers are male and female
educators from both high schools and
colleges, and they represent a variety of
geographical regions, racial and ethnic
backgrounds, and educational philosophies.
We utilize a longitudinal survey of registrants for the Graduate Management Admissions Test
(GMAT) to estimate the economic returns to an MBA. The GMAT exam, an admissions requirement
for most MBA programs, is similar to the SAT for undergraduates without the competition from
the ACT. The survey, sponsored by the Graduate Management Admissions Council (GMAC), was
administered in four waves, beginning in 1990 and ending in 1998.
14 In addition, survey responses
were linked to GMAC’s registration and test data, which includes personal background information
and GMAT scores.