Sentences with phrase «sample as a model»

Use the sample as the model for preparing your own thesis.

You are free to read and use this sample as a model for developing your college application essay.

Take a look at the above Package Handler no experience resume sample as a model for your own results - driven resume.

You can use this sample as a model for your own letter, tailoring it to reflect your own individual circumstances.

Using our marketing data analyst resume sample as a model and following these tips can help you produce an outstanding resume.

Use this healthcare sales representative resume sample as a model of the relevant skills your recruiters are looking for as you write your own resume.

Use the training and development manager resume sample as a model for proving your current knowledge to employers.

Use our sample as your model for how to write an outstanding resume, or let our resume builder tool teach you how to revitalize your resume using a hands - on approach.

By using this certified medical assistant resume sample as a model, you can craft a piece that gets the recruiter's attention.

Consult the professional office manager cover letter sample as a model to avoid drafting a letter that just restates what you list on your resume.

As you use these IT expert resume samples as a model and start drafting your own profile, you'll notice that the education, summary, and skills sections are formatted in essentially similar ways, but when you reach the work experience section, you'll have some choices to make.

Not exact matches

Their sample included a lot of small OPEC countries, who necessarily had high growth and low interest rates when oil prices were high, as well as a lot of Asian countries that followed the Japanese development model and themselves practiced financial repression, which of course made them pretty useless as points of comparison.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

The scenario model is pre-populated with data based on a large sample of U.S. public companies (more than 2,500 companies) over a seven - year period (2004 - 2011), as compiled by BoardEx.1 To access the pre-populated model calculations, click the Calculations / Historical data and Attrition data tabs in the Excel spreadsheet that you can download from this page.

They identify idiosyncratic volatility shocks as large deviations from the volatility predicted out - of - sample by a regression model that accounts for market, size and book - to - market effects.

Alternatively, the early diversification (also known as early sampling) model is characterized by the sampling of a number of sports throughout childhood and early adolescence.

They then tested the contributions of samples from breast milk as well as individual molecules in both animal and cellular models of infection, measuring the length of time until resolution.

Therefore, models for total urinary As concentrations (TUAs) were restricted to infants who had not consumed seafood or fish during the 3 days prior to the collection of urine samples.

These techniques include: human tissue created by reprogramming cells from people with the relevant disease (dubbed «patient in a dish»); «body on a chip» devices, where human tissue samples on a silicon chip are linked by a circulating blood substitute; many computer modelling approaches, such as virtual organs, virtual patients and virtual clinical trials; and microdosing studies, where tiny doses of drugs given to volunteers allow scientists to study their metabolism in humans, safely and with unsurpassed accuracy.

Using a mouse model of HSV - 1 as well as autopsied samples of human adult and fetal tissues, investigators from Dartmouth College's Geisel School of Medicine found that antibodies against HSV - 1 produced by adult women or female mice could travel to the nervous systems of their yet unborn babies, preventing the development and spread of infection during birth.

She and her colleagues will be exploring the role of YY1 further, using clinical samples as well as mouse models, to look at the protein in diseases like lupus to deepen their understanding of how autoimmunity could result from the «escape» of immune genes from X chromosome inactivation.

They also used tenfold cross validation to train the models for responsiveness, and then tested these on the validation samples as well.

Advances in technology, specifically those that automate speech synthesis such as voice morphing, allow an attacker to build a very close model of a victim's voice from a limited number of samples.

To build on the work, Anguera's team is performing additional studies using primary samples from lupus patients as well as samples from a mouse model of lupus.

Because organoids can be generated with high efficiency and speed from patient samples, they can serve as a personal cancer model that can guide clinical decision - making.

Using both patient samples and mouse models, they then linked these bacteria to cells that help regulate inflammation, known as Th17 cells, in people with autoimmune disorders.

This approach is feasible for combining two small speech models, such as with the test samples of two people using a very limited vocabulary.

Professor Luca Caricchi adds: «When we determine the age of a family of zircons from a small sample of solidified magmatic rock, using results from the mathematical model we have developed, we can tell what the size of the entire magma chamber was, as well as how fast the magma reservoir grew.»

This work used material as diverse as the gut contents of the seals and the fish, through seal «scat», to samples taken from commercial catches and research vessel surveys, and elaborate mathematical models.

The vitamin K content of cream products, for which the researchers had a smaller sample size, was analyzed using a general linear model, with heavy cream as the reference group.

As a next step, Guha, Avadhani and colleagues plan to extend this study to in vivo mouse models and will also investigate these mechanisms in tumor samples from human breast cancer patients.

The researchers used a mathematical method based on statistical modeling, known as a polynomial transformation technique - based recursive least - squares algorithm, to first generate a mixed - rate model using fast sample rate inputs and slow - sample rate outputs that identifies the mechanical resonances beyond the Nyquist frequency, and then to derive a fast - rate model involving fast sample - rate inputs and fast sample - rate outputs from which the unwanted frequencies can be extracted.

Shuttering a key part of PF - 4 abruptly halted two types of sensitive work done nowhere else in the United States, for roughly the next four years: The invasive sampling and analysis of selected aging nuclear weapons cores to ensure that intact models could all still function as intended; and the production of new cores that could be fit into more modern nuclear weapons or replace those pulled apart in testing.

We generated spiking responses from 100 fibers at a 100 kHz sample rate, with the same distribution of center frequencies (CFs) and spontaneous rates (SRs) as in that paper (see section «AN Model» below); n = 85 fibers were used based on reliably evoked responses to the natural stimuli [10], [12].

From this model, we would predict that as we sampled more neurons from this population, the population correlation values would increase.

This animal model closely resembles lesion kinetics as seen in human disease [34] and use of non-human primates allows for repetitive surgical sampling for multiple time point analysis.

So Exxon (now ExxonMobil) shelved an ambitious but costly program that sampled carbon dioxide in the oceans — the centerpiece of its climate research in the 1970s — as it created its own computerized climate models.

Labmatrix aligns each patient's details with genetic and biological analysis of their tumor samples, as well as the results of drug screening in laboratory flasks and biological models.

Our teams develop novel approaches as well as utilize routine routes to synthesize molecular, nanostructured, and solid - state systems; analyze the samples with multiple instruments; and model the results for detailed insight and to predict new systems for synthesis and analysis.

A side product of these calculations is full stellar property posterior samplings for every host star, modeled as single, binary, and triple systems.

As the sample of dense planets with well - constrained masses and radii continues to grow, we will be able to test whether the fixed compositional model found for the seven dense planets considered in this paper extends to the full population of 1 - 6 Earth mass planets.

In patient samples and animal models, molecular biomarkers are used as indicators of normal and pathogenic processes.

As a way of overcoming this lack of samples, the team developed disease models instead.

Their work encompasses several strategies, including: developing FL - HCC animal models to characterize tumor - immune interactions, exploring if a mutated protein associated with FL - HCC could be targeted by immunotherapy, identifying immune checkpoints that could potentially serve as targets for immunotherapy as well as biomarkers for analyzing patients, and evaluating the effectiveness of immunotherapy strategies against FL - HCC patient samples in the lab.

However the models indicated that detection probability for secondary sampling occasions of individuals marked as adults (0.16 + − SE 0.02) was greater than that of young individuals (0.11 + − SE 0.02).

The authors report that in laboratory tests using cellulose as a model indoor material exposed to smoke, levels of newly formed TSNAs detected on cellulose surfaces were 10 times higher than those originally present in the sample following exposure for three hours to a «high but reasonable» concentration of nitrous acid (60 parts per billion by volume).

We tested whether the population had remained constant over the four primary sampling periods using robust design as well as Pradel's models [26].

In projecting climate variables such as temperature, precipitation, and humidity, there is generally a tradeoff between (a) the ability to produce high - resolution projections needed to inform local decisions and model local responses, and (b) the ability to sample uncertainty.

As such, a second method 200 derived from at least one output of the first method 100 can include: receiving a biological sample from a subject S210; characterizing the subject with a form of an autoimmune condition based upon processing a microbiome dataset derived from the biological sample S220; and promoting a therapy to the subject with the autoimmune condition based upon the characterization and the therapy model S230.

As shown in FIG. 1A, a first method 100 for diagnosing and treating an autoimmune condition comprises: receiving an aggregate set of samples from a population of subjects S110; characterizing a microbiome composition and / or functional features for each of the aggregate set of samples associated with the population of subjects, thereby generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects S120; receiving a supplementary dataset, associated with at least a subset of the population of subjects, wherein the supplementary dataset is informative of characteristics associated with the autoimmune condition S130; and transforming the supplementary dataset and features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset into a characterization model of the autoimmune condition S140.