Tests cover compliance, sales & marketing, and transferable skills
Better skills assessments help employers make more informed people decisions
Questionmark, the online assessment provider, has launched a new ready-made assessment offer that helps employers assess the business skills of their people. The tests cover compliance, sales and marketing, and transferable skills.
Questionmark has developed the tests in response to demand from customers who wanted help to identify strengths and address areas of risk or weakness across specific skills and functions.
The launch is part of the firm’s strategy to provide an end-to-end assessment service for customers. It complements Questionmark’s enterprise-grade assessment platform. It follows the launch of Questionmark’s professional services, where the firm provides a range of consultancy and training services to help customers get up to speed on the platform.
Assessments available through the new offer will include:
Employers often struggle to identify what regulations and compliance
Expanding routine newborn screening to include a metabolic vulnerability profile could lead to earlier detection of life-threatening complications in babies born preterm, according to a study by UC San Francisco researchers. The new method, which was developed at UCSF, offers valuable and time-sensitive insights into which infants are at greatest risk during their most vulnerable time, immediately after birth.
The study, published in Nature Pediatric Research by scientists at the UCSF California Preterm Birth Initiative (PTBI-CA), assessed the records of 9,639 preterm infants who experienced mortality or at least one complication or mortality.
Using the results of standard newborn profiles and blood tests, they identified a combination of six newborn characteristics and 19 metabolites that, together, created a vulnerability profile that reliably identified preterm babies at substantially increased risk for death and severe illness.
“Our results point to a number of potential biological pathways that may play a key role
NASA’s Jet Propulsion Laboratory uses an AI tool on a supercomputer cluster to identify potential craters on the Red Planet.
On July 15, 1965, the Mariner 4 spacecraft snapped a series of photographs of Mars during its flyby of the Red Planet. These were the first “close-up” images taken of another planet from outer space, according to NASA. One of these first grainy photographs depicted a massive crater nearly 100 miles in diameter. Now, NASA’s Jet Propulsion Laboratory (JPL) is tapping artificial intelligence (AI) to help with its cosmic cartography efforts, using these technologies to identify “fresh craters” on Mars.
For more than 14 years, the Mars Reconnaissance Orbiter (MRO) has transmitted detailed images of Mars back to researchers on Earth. Scientists have used orbiter data to spot more than 1,000 new Martian craters.
Rapeseed has the potential to replace soy as the best plant-based source of protein for humans. In a current study, nutrition scientists at the Martin Luther University Halle-Wittenberg (MLU), found that rapeseed protein consumption has comparable beneficial effects on human metabolism as soy protein. The glucose metabolism and satiety were even better. Another advantage: The proteins can be obtained from the by-products of rapeseed oil production. The study was published in the journal Nutrients.
For a balanced and healthy diet, humans need protein. “It contains essential amino acids which can not be synthesized in the body,” says Professor Gabriele Stangl from the Institute of Agricultural and Nutritional Sciences at MLU. Meat and fish are important sources of high-quality proteins. However, certain plants can also provide valuable proteins. “Soy is generally considered the best source of plant protein as it contains a particularly beneficial composition of amino acids,” says Stangl.
A University of Central Florida researcher is part of a new study showing that artificial intelligence can be nearly as accurate as a physician in diagnosing COVID-19 in the lungs.
The study, recently published in Nature Communications, shows the new technique can also overcome some of the challenges of current testing.
Researchers demonstrated that an AI algorithm could be trained to classify COVID-19 pneumonia in computed tomography (CT) scans with up to 90 percent accuracy, as well as correctly identify positive cases 84 percent of the time and negative cases 93 percent of the time.
CT scans offer a deeper insight into COVID-19 diagnosis and progression as compared to the often-used reverse transcription-polymerase chain reaction, or RT-PCR, tests. These tests have high false negative rates, delays in processing and other challenges.
Another benefit to CT scans is that they can detect COVID-19 in people without symptoms, in those who have
Rapid Diagnostic Testing, Repurposing Drug Therapies and Vaccines Targeting Innate Immunity, Are Integral Factors in Mitigating COVID-19
BALTIMORE, Sept. 30, 2020 /PRNewswire/ — The Global Virus Network (GVN), a coalition of the world’s leading medical and basic virology research centers working to prevent illness and death from viral disease, convened a press conference with attendees from across the globe to discuss key takeaways from the GVN virtual 2020 Special Annual Meeting held September 23-24, 2020.
A video of the full press conference, can be found here.
“We do not know what the future holds for COVID-19 – there may be seasonal variations or chronic infections or maybe a slowdown,” said Dr. Christian Bréchot, GVN President. “However, we know that we have to prepare and that this for now and not after the end of this pandemics; in the spirit of preparation, it is very timely that we used
Mathematicians have developed a framework to determine when regions enter and exit COVID-19 infection surge periods, providing a useful tool for public health policymakers to help manage the coronavirus pandemic.
The first published paper on second-surge COVID-19 infections from US states suggests that policymakers should look for demonstrable turning points in data rather than stable or insufficiently declining infection rates before lifting restrictions.
Mathematicians Nick James and Max Menzies have published what they believe is the first analysis of COVID-19 infection rates in US states to identify turning points in data that indicate when surges have started or ended.
The new study by the Australian mathematicians is published today in the journal Chaos, published by the American Institute of Physics.
“In some of the worst performing states, it seems that policymakers have looked for plateauing or slightly declining infection rates. Instead, health officials should look for identifiable local maxima
Intolerances to chemicals, foods and drugs impact 8%-33% of individuals, studies suggest, yet few people are screened for it at their doctors’ offices.
To address this and increase awareness of chemical intolerance, researchers at The University of Texas Health Science Center at San Antonio (UT Health San Antonio) developed and validated a three-question, yes-or-no survey that primary care providers, allergists, dermatologists and other specialists can incorporate into patient visits. The survey, called the Brief Environmental Exposure and Sensitivity Inventory, or BREESI, can also be used by researchers and patient groups, and for epidemiological studies in exposed populations.
Sept. 16 in the journal PLOS ONE, the researchers reported that the BREESI accurately predicts scores on a comprehensive 50-question survey called the Quick Environmental Exposure and Sensitivity Inventory (QEESI). The QEESI, which the UT Health San Antonio group introduced online in 2014, is available at no charge to patients and clinicians.