Exam Code: ISEB-SWTINT1 Practice test 2023 by Killexams.com team
ISEB Intermediate Certificate in Software Testing
ISEB Intermediate test
Killexams : ISEB Intermediate test - BingNews https://killexams.com/pass4sure/exam-detail/ISEB-SWTINT1 Search results Killexams : ISEB Intermediate test - BingNews https://killexams.com/pass4sure/exam-detail/ISEB-SWTINT1 https://killexams.com/exam_list/ISEB Killexams : Fibrinolysis for Patients with Intermediate-Risk Pulmonary Embolism No result found, try new keyword!In a randomized, double-blind trial, we compared tenecteplase plus heparin with placebo plus heparin in normotensive patients with intermediate ... by a positive test for cardiac troponin I ... Sun, 16 Aug 2020 06:50:00 -0500 en-US text/html https://www.nejm.org/doi/full/10.1056/NEJMoa1302097 Killexams : Intermediate vocabulary with 6 Minute Vocabulary

Improve your vocabulary with 6 Minute Vocabulary (Intermediate), our English vocabulary series for intermediate level learners. On this page you'll find a range of intermediate vocabulary programmes to boost your language skills. Each programme covers a key vocabulary point with all the explanations, examples and activities you need to become an English vocabulary champion - in just 6 minutes. Topics include hyphenation, prefixes, false friends, discourse markers, linking words, synonyms, antonyms and much, much more.

If this series is too difficult why not start with our basic vocabulary series. You can also work on your grammar with our basic grammar series and our intermediate grammar series. Then check your grammar knowledge with our complete basic grammar reference guide, intermediate grammar reference guide and upper-intermediate grammar reference guide.

Wed, 12 Aug 2020 11:41:00 -0500 text/html https://www.bbc.co.uk/learningenglish/english/intermediate-vocabulary
Killexams : Memory Test

5 minutes

Do you have a knack for remembering names and numbers or are you the type of person who forgets things from one moment to the next? Find out if you have the proverbial memory of an elephant by taking this test.

Read each question carefully and answer as truthfully as possible. After finishing the Memory Test, you will receive a detailed, personalized interpretation of your score that includes diagrams and information on the test topic.

This test is intended for informational and entertainment purposes only. It is not a substitute for professional diagnosis or for the treatment of any health condition. If you would like to seek the advice of a licensed mental health professional you can search Psychology Today's directory here.

Wed, 13 Sep 2017 18:04:00 -0500 en-US text/html https://www.psychologytoday.com/us/tests/iq/memory-test
Killexams : Transitioning to Intermediate Directions

Lesson Plan

Learning Objectives

  • Students will be able to follow and supply directions using intermediate directions and transitional words.


(8 minutes)

  • Separate the students into two groups.
  • Play a game with the students. Draw an intermediate direction from the index cards pile, and have one group move in that direction. Repeat the steps for the next group.
  • Provide two directions at one time, using transitional words. (For example, Group A, move southeast, then move north.)
  • Reference the posted intermediate directions on the classroom walls as support.
  • Say, “Now that we have practiced moving ourselves using intermediate directions, we will use transitional words and intermediate directions with a map.”

Thu, 02 Dec 2021 12:53:00 -0600 en text/html https://www.education.com/lesson-plan/transitioning-to-intermediate-directions/
Killexams : Anxiety Test

Everybody worries or gets the odd case of butterflies in the stomach. But are you missing out on opportunities and happiness because of fears and worries? Is anxiety interfering with your life? While moderate anxiety can be limiting, severe anxiety can be crippling. Anxiety currently afflicts more than 20 million Americans, making it the most common mental illness in the US. Find out if you're too anxious with this anxiety test. It will determine whether you should consider seeking help, and to what degree. For each statement in the questionnaire, please indicate how often you feel that way.

After finishing this test you will receive a FREE snapshot report with a summary evaluation and graph. You will then have the option to purchase the full results for $6.95

This test is intended for informational and entertainment purposes only. It is not a substitute for professional diagnosis or for the treatment of any health condition. If you would like to seek the advice of a licensed mental health professional you can search Psychology Today's directory here.

Thu, 02 Mar 2017 10:12:00 -0600 en-US text/html https://www.psychologytoday.com/us/tests/health/anxiety-test
Killexams : Everything You Should Know About a Hair Strand Drug Test

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Healthline only shows you brands and products that we stand behind.

Our team thoroughly researches and evaluates the recommendations we make on our site. To establish that the product manufacturers addressed safety and efficacy standards, we:
  • Evaluate ingredients and composition: Do they have the potential to cause harm?
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A hair strand drug test, also known as a hair drug test, screens for illicit drug use and the misuse of prescription medication.

Though it’s common to refer to this as a “hair follicle test,” a hair strand drug test only tests clipped strands of hair, not the follicle located under the scalp.

During this test, a small amount of hair is removed from your head using scissors. The sample is then analyzed for signs of drug use during the 90 days preceding the test. It’s typically used to test for:

While a urine drug screen can detect if you’ve used drugs in the last few days, a hair drug test can detect drug use in the past 90 days.

Your workplace may request a hair test to screen for illicit drug use before hire or randomly during employment. Some research also indicates that hair drug testing can be useful for monitoring drug use in at-risk individuals when used alongside self-reporting.

Your hair strand test might take place in a lab or within a hospital setting. Or your workplace may perform the test using a kit that’s then mailed to a laboratory. You can also order at-home hair tests online.

If your workplace has mandated that you take the test, they’ll likely require you to be supervised during the testing process.

You can wash your hair, dye your hair, and use styling products without affecting the accuracy of the test.

After confirming identifying information, the collector will cut between 100 and 120 hairs from the crown of your head. They can collect the hairs from different spots on your crown to avoid creating a bald spot.

If you have very little or no hair on your head, the collector might use body hair for the test instead. The collector will place the hair in foil and then in a secure envelope to be mailed for overnight testing.

A negative result can be determined within 24 hours of hair removal. A test called ELISA is used as a screening test. This test determines if the hair sample is negative for drug use.

A negative result indicates that you haven’t engaged in illicit drug use over the past 90 days. Additional testing is required to confirm a positive result.

A positive drug test is confirmed after 72 hours. All nonnegative tests undergo a second test, called gas chromatography/mass spectrometry (GC/MS). It confirms a positive test result. This test also identifies the specific drugs used.

An inconclusive result isn’t common when testing procedures are followed. In some cases, improper collection of the hair specimen may result in the test being rejected completely. In this case, the test may be repeated.

The laboratory responsible for testing will deliver the results to the individual or organization requesting the test. They’ll use confidential means, like a secure fax, a phone call, or an online interface to share test results.

Because lab results are confidential health information, you’ll need to sign a release before the results are passed on to your workplace.

Can the test identify the date of drug use?

A hair drug test detects a pattern of repeated drug use over the last 90 days. Because hair growth rates vary from person to person, this test can’t accurately determine when in the 90 days drugs were used.

The collection and testing of hair for this test follows a very specific set of standards to increase accuracy. During testing, the collected hair is washed and tested for environmental contamination that could change the results of the test.

Your results won’t be affected if you wash your hair, dye your hair, or use styling products.

To guard against a false positive, laboratories conduct two tests. The first, called ELISA, is able to deliver a negative or positive result within 24 hours.

The second, called GC/MS, is a widely accepted method for confirming a positive result. This second test can also test for specific drugs and can detect as many as 17 different drugs. The GC/MS also guards against false-positive results caused by foods like poppy seeds or hemp seeds.

One 2017 study did find inconsistency between self-reporting of cannabis use and the results of hair drug tests. This may indicate the potential of a false positive.

Certain medications may influence the results of the test. If a doctor has prescribed an opioid painkiller and you use them as directed, these drugs will show up on your test. In this case, your employer will likely request you provide documentation of prescriptions.

If you believe your hair drug test results are inaccurate, you may immediately request a retest from your employer.

A hair drug test is more expensive than a urine drug test. An at-home kits costs between $64.95 and $85. Drug tests performed in a hospital or laboratory may cost between $100 and $125.

If you’re a current employee and your workplace requires you to take a hair strand drug test, they’re required by law to pay you for the time spent taking the test. They’ll also pay for the test itself.

If a drug test is part of pre-employment screening, the employer isn’t required to compensate you for your time.

Many insurance carriers cover drug tests if it’s performed within a hospital for medical purposes, like an inpatient stay or an emergency room visit.

The main difference between a hair drug test and a urine drug test is the window of detection.

A urine drug test is used to test for drug use over the three days preceding the test. A hair drug test is the only drug test that can detect repeated drug use up to 90 days prior to the test.

This is possible because drugs present in the bloodstream actually become a part of hair cells as the hair grows. The sweat and sebum present on your scalp may also play a role in drug presence in existing strands of hair.

Because of the rate of hair growth, drugs can’t be detected in the hair until five to seven days after use. In the case of a workplace accident, a hair drug test wouldn’t be an appropriate test for detecting latest drug use.

If you have questions or concerns about your drug test results, reach out to the medical review officer, or MRO. An MRO evaluates drug test results and may be able to explain your test results.

Hair drug tests can identify drug use up to 90 days prior to the test date. That’s because the chemicals from the drugs that end up in your bloodstream become part of the hair cells as your hair grows.

Hair drug tests may not be appropriate for determining latest drug use. That’s because it may take five to seven days for the drugs to be identifiable through a hair test. Urine drug tests are used to detect latest drug use.

If you’re taking prescribed medications, let the administrator of the test know. Medications may lead to a false-positive test result.

Sun, 05 Feb 2023 10:00:00 -0600 en text/html https://www.healthline.com/health/hair-follicle-drug-test
Killexams : Intermediate Test Analyst – Western Cape Cape Town

We are recruiting for an Intermediate Test Analyst to join our dynamic team in a hybrid work environment located in Cape Town for a 6-month contract position.

Qualification Required:

Preferred Qualifications:

  • IT Related Degree/ Diploma

Duties/ Responsibilities:

  • API and Web Service testing (Soap UI, Postman).
  • Integration Platform testing.
  • Black and White box testing (back-end testing).
  • Web Based on Application testing.
  • Mobile application testing.
  • Strong SQL.
  • Full STLC Testing experience.
  • Strong experience in ISTQB Standards and techniques.
  • Experience using DevOps – Azzure tool for testing.
  • Experience working with an Agile team, development methodology, and collaboration tools (e.g. Jira, Xray, Confluence).
  • Experience working with HP ALM (QC).
  • Ability to communicate well with internal stakeholders.

Work environment:

Desired Skills:

  • Systems Analysis
  • Complex Problem Solving
  • Programming
  • C#
  • Java
  • SQL
  • HTML

Learn more/Apply for this position

Thu, 19 Jan 2023 10:00:00 -0600 en-US text/html https://it-online.co.za/2023/01/20/intermediate-test-analyst-western-cape-cape-town-2/
Killexams : Intermediate-Term Core-Plus Bond Funds

Maintaining independence and editorial freedom is essential to our mission of empowering investor success. We provide a platform for our authors to report on investments fairly, accurately, and from the investor’s point of view. We also respect individual opinions––they represent the unvarnished thinking of our people and exacting analysis of our research processes. Our authors can publish views that we may or may not agree with, but they show their work, distinguish facts from opinions, and make sure their analysis is clear and in no way misleading or deceptive.

To further protect the integrity of our editorial content, we keep a strict separation between our sales teams and authors to remove any pressure or influence on our analyses and research.

Read our editorial policy to learn more about our process.

Thu, 30 Apr 2020 13:19:00 -0500 en text/html https://www.morningstar.com/intermediate-term-core-plus-bond-funds
Killexams : An Intermediate Solution?

Kerem Çamsari receives an Early CAREER Award to develop probabilistic computing, which could be an important step on the way to quantum computers

As researchers around the world continue their long and arduous pursuit toward quantum computing, some are working on what might be considered “bridge” technologies to increase energy efficiency by reimagining how a computer carries out computations.

Among these innovative approaches is probabilistic computing, a rapidly emerging area in which Kerem Çamsari, an assistant professor in the Electrical and Computer Engineering Department in the UC Santa Barbara College of Engineering (COE) is pursuing pioneering research. He has just received a five-year, $546,000 National Science Foundation (NSF) Early CAREER Award to do so.

According to Çamsari, the work requires “reimagining computers and using them to Excellerate the energy efficiency of power-hungry machine-learning (ML) and artificial-intelligence (AI) algorithms.”

“We are very grateful for this support,” he said of the award. “With this level of sustained funding, we really hope to make a positive impact in making computing sustainable into the future.” 

“We are delighted to hear about Kerem Çamsari’s well-deserved NSF CAREER Award,” said Tresa Pollock, acting dean of the UCSB College of Engineering. “His research is important to enabling the ‘bridging’ technology of probabilistic computing, which holds promise for increasing the energy efficiency of the artificial intelligence in its various forms while engineers work toward developing quantum systems. This award further recognizes the tremendous talent, innovation and leadership of junior faculty in the COE.”

Probabilistic computing is a technological response to the fact that a large class of models in ML and AI are inherently probabilistic. A good example is the recently developed “generative” AI models, such as ChatGPT. These models output probabilistic results by making guesses at a right answer from a set of plausible answers, providing a different answer even when the same question is asked of the model more than once. Çamsari described it as being “a little like talking to a human,” in that you wouldn't use exactly the same words to explain something to someone a second or third time to help them understand it.

The probabilistic model works because it has access to a "bag" of right answers it can choose from, and it is not necessarily clear which one is "best"; hence, it pays to model the problem (of finding a right answer) probabilistically. On the other hand, traditional computers, based on the silicon transistor, are largely deterministic and precise and, Çamsari noted, “That precision makes it extremely costly to use them to imitate true randomness.” 

Traditional computing is based on deterministic bits, which must have one of two values — 0 or 1 — at any given time. They never fluctuate. They only change as time goes on according to any specific computation.

In contrast, a probabilistic bit fluctuates constantly between 0 and 1 as a function of time — these fluctuations can be as fast as every nanosecond. It is never a definite 0 or a definite 1, but in a state of constant fluctuation between them. The p-bit is a physical hardware building block that can generate that string of 0s and 1s. That built-in randomness is often useful in algorithms.

Researchers in Çamsari’s lab are trying “to design a new fundamental building block,” the p-bit, he said, which is represented by a naturally noisy device. The idea is to design a transistor-like object that uses naturally occurring noise in the environment “to realize the kind of probabilistic behavior we need, starting from the most fundamental building block of the computer.”

To do that, they modify a type of nanodevice used in magnetic memory technology to make it highly “memory-less,” such that it naturally fluctuates in the presence of thermal noise at room temperature. “That provides a steady stream of random bits at practically no cost,” Çamsari saif. “Further, because the memory industry has integrated billions of such tiny magnetic nanodevices with silicon transistors, our idea to make them useful for computation is highly scalable. The magnetic nanodevices used by the memory industry are not probabilistic; however, in our work, we are trying to make them lose their memory as fast as possible, and this requires making careful modifications to these devices.”

Çamsari envisions a type of hybrid computer in which analog p-bits provide true randomness in a classical computer. “You would need thousands of silicon transistors to make a random bit, but the p-bits in this project instead use tiny magnetic units that, unlike transistors, are already noisy and, therefore, consume less power and occupy less space on the chip,” he said. “Our projections show that the energy-efficiency and performance of ML/AI models in such a computer will be orders of magnitude beyond what is available with graphical and tensor processing units (GPU/TPU).”

One challenge of the research is that it is tricky to couple many p-bits together. To sidestep this issue, Çamsari’s team, in collaboration with researchers at Japan’s Tohoku University, have opted to take a hybrid approach, using a single noisy magnetic tunnel junction (MTJ) — essentially a tiny magnet — to drive digital circuits inside a field-programmable gate array (FPGA). This combination of digital, deterministic circuits with noisy p-bits may lead to hybrid probabilistic-classical computers that might extend the capabilities of classical computation.

In a latest publication at the International Electron Devices Meeting (IEDM), the flagship device conference, Çamsari’s team “showed how a single noisy MTJ can be integrated effectively with powerful programmable silicon-based microprocessors,” he said. “In the CAREER proposal, we described a much more ambitious goal of providing an example of this approach one hundred times larger and establishing a regime in which the hybrid computer could significantly outperform stand-alone classical computers.”

A key question underlying this research is how the computation of a probabilistic computer compares to that of quantum computation: “It is well known that the primary anticipated application of quantum computers will be naturally ‘quantum’ problems, for example, understanding the electronic and physical properties of a complex molecule or uncovering new physics, problems that are too hard to solve using classical computers,” Çamsari explained. “Similarly, the primary application for probabilistic computers would be problems that are naturally probabilistic, and we believe that ML and AI are full of such examples.”

Traditional computers cannot solve quantum problems. “If the problem you are trying to solve is quantum mechanical and your computer is not,” Çamsari said, “then you are trying to simulate something.”

“Imagine mixing a cup of coffee with cream,” he continued. “Having a classical computer is like trying to simulate that complicated flow by making a model of cream and water molecules and predicting their motion. Building a quantum — or probabilistic — computer is a little like taking a cup, coffee and cream and then combining them to see how they will mix, with no simulation involved. This is the idea of ‘natural’ computing, in which you build a computer that is naturally inclined by its designed nature to tell you what you wanted to know in the first place.”

Moreover, and importantly, Çamsari added, “We and others have shown that probabilistic computing can even be used to solve a subset of quantum problems. And while it would not do everything a quantum computer does, probabilistic computing is here now, and a probabilistic computer is easy to build, and, therefore, much easier to scale.”

His team’s approach, Çamsari said, “can be viewed as part of a growing trend of developing ’domain-specific hardware and architectures’ — that is, computers designed with a specific domain and a specific purpose in mind, rather than according to the old paradigm of ‘general-purpose’ computers. A key feature is taking inspiration from physics, be it in the form of probabilistic or quantum building blocks. This allows computing systems to be built that are natural and energy efficient. In the case of p-bits, this amounts to harnessing natural randomness in the environment instead of trying to mimic randomness out of precise building blocks.”

Mon, 13 Feb 2023 13:50:00 -0600 en text/html https://www.news.ucsb.edu/2023/020837/intermediate-solution
Killexams : Baird Intermediate Bond Inst

Maintaining independence and editorial freedom is essential to our mission of empowering investor success. We provide a platform for our authors to report on investments fairly, accurately, and from the investor’s point of view. We also respect individual opinions––they represent the unvarnished thinking of our people and exacting analysis of our research processes. Our authors can publish views that we may or may not agree with, but they show their work, distinguish facts from opinions, and make sure their analysis is clear and in no way misleading or deceptive.

To further protect the integrity of our editorial content, we keep a strict separation between our sales teams and authors to remove any pressure or influence on our analyses and research.

Read our editorial policy to learn more about our process.

Fri, 17 Feb 2023 09:11:00 -0600 en text/html https://www.morningstar.com/funds/xnas/bimix/quote
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