Researchers at the University of Essex, UESTC-China and ZTE have recently introduced a scheme for the deployment of hybrid access points (H-APs), which could simultaneously enable wireless information transfer (WIT) and wireless energy transfer (WET) in smart cities. This unique scheme, presented in a paper pre-published on arXiv, uses a mobility model of grid-based streets in urban environments to represent the movements of users navigating a city.
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When we open our eyes, we immediately see our surroundings in great detail. How the brain is able to form these richly detailed representations of the world so quickly is one of the biggest unsolved puzzles in the study of vision.
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Robots hold promise for a large number of people with neurological movement disorders severely affecting the quality of their lives. Now researchers have tapped artificial intelligence techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.
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Scientists from Salk Institute (U.S.), Skoltech (Russia), and the Riken Center for Brain Science (Japan) investigated a theoretical model of how populations of neurons in the visual cortex of the brain may recognize and process faces and their expressions, and how they are organized. The research was recently published in Neural Computation and highlighted on its cover.
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Natural phenomena and biological mechanisms can be great sources of inspiration for scientists developing mathematical approaches, computer systems and robots. Over the past few decades, research has repeatedly proved the value of replicating behaviors observed in nature through the introduction of many fascinating bio-inspired computational techniques and systems.
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Introductory statistics courses teach us that, when fitting a model to some data, we should have more data than free parameters to avoid the danger of overfitting—fitting noisy data too closely, and thereby failing to fit new data. It is surprising, then, that in modern deep learning the practice is to have orders of magnitude more parameters than data. Despite this, deep networks show good predictive performance, and in fact do better the more parameters they have. Why would that be?
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Researchers from the U.S. Army and North Carolina State University have developed a computational model that can be used to expedite military operations aimed at evacuating noncombatants, disaster response or humanitarian relief.
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The World Health Organization has launched a new easy-to-access, digital version of its Model list of Essential Medicines (EML). The move will revolutionize the way this core WHO reference tool is used.
More than 150 countries currently use the WHO list to work out which medicines best meet their national health contexts and priorities, so they can compile their own national essential medicines lists.
Essential medicines are those that satisfy the priority health care needs of a population. They are the medicines that need to be available in a functioning health system at all times, in appropriate dosage forms, of assured quality, and at prices individuals and the community can afford.
Keeping up-to-date lists of the most important medicines a country needs is key to achieving health for all in a sustainable way.
Since 1977, the WHO list has been revised every 2 years (most recently in 2019) by a group of experts and published in print or PDF formats. It includes information about available dose forms and strengths; specifications as to who should take a medicine; what conditions a medicine can treat and how it should be taken, as well as details about the clinical evidence supporting recommendations being made.
The new electronic version brings the traditional EML to smartphones and computer screens in a comprehensive, freely accessible, online database. Instead of flicking through pages of information, users can search by simply clicking on the name of a medicine, for example, or a health issue. They can also make their own customized lists by exporting the list – in full or in part – into an Excel or Word version.
The electronic EML is the latest step in WHO’s effort to harness digital technologies to drive improvements in global public health, and advance progress towards universal health coverage.
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https://www.who.int/news-room/detail/27-02-2020-who-launch-e-eml
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The Democratic Republic of the Congo (DRC), Burundi, Ghana and Zambia have licensed an Ebola vaccine, just 90 days after World Health Organization (WHO) prequalification. Registration of the vaccine is expected in additional countries in the coming weeks.
The licensing of the vaccine means that the manufacturer can stockpile and widely distribute this vaccine to African countries at risk of Ebola virus disease outbreaks. Once licensed doses are available, use of the vaccine will not require clinical trial or other research protocols.
“The approval of the Ebola vaccine by these countries is another milestone in the fight against this unforgiving disease,” said WHO Director-General Dr Tedros Adhanom Ghebreyesus. “Africa has rallied to cement hard-fought progress to keep its people safe from Ebola.”
WHO accelerated the licensing and roll-out of the Ebola vaccine by certifying that it met the organization’s standards for quality, safety and efficacy in its fastest vaccine prequalification process ever, announced in November 2019.
The speed with which this has been achieved has been made possible by a different approach, where national licensing procedures were done in parallel based on one single scientific review process. Usually, these process are done one by one, which can take years. The process was led by WHO with the participation of the African Vaccine Regulatory Forum (an African network of national regulatory authorities and ethics committees), the European Medicines Agency, and Merck.
“The rapid approval of the Ebola vaccine by countries in the Africa Region helps ensure this critical prevention tool will be available when and where it is needed most,” said Dr Matshidiso Moeti, WHO Regional Director for Africa. “This kind of collaboration and innovation is a model for other health priorities.”
The injectable Ebola vaccine, Ervebo, is manufactured by Merck (known as MSD outside the US and Canada). Preliminary study results have shown a 97.5% vaccine efficacy. Data also suggests that vaccinating people who are already infected reduces their chances of dying.
In response to the ongoing Ebola outbreak in the DRC, over 290 000 people have been vaccinated under compassionate use protocols. Once licensed doses are available, use of the vaccine in DRC will no longer require these protocols
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https://www.who.int/news-room/detail/14-02-2020-four-countries-in-the-african-region-license-vaccine-in-milestone-for-ebola-prevention
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E-cigarette vapour is much less harmful to lung cells than cigarette smoke. Lab tests show that, unlike tobacco smoke, which causes oxidative stress and cell death, e-cigarette vapour does not. Oxidative stress and cell death are driving factors in the development of many smoking-related diseases such as COPD and lung cancer.
Vapour from e-cigarettes has been found to contain significantly lower levels of the toxicants found in cigarette smoke (Chemical Research in Toxicology DOI: 10.1021/acs.chemrestox.6b00188), but suitable lab tests and clinical studies are necessary to understand whether this translates into reductions in biological responses and disease.
Researchers at British American Tobacco have developed a standardized way of measuring and comparing the potential of conventional cigarette smoke and e-cigarette vapour to cause oxidative stress in an in vitro model of lung epithelium.
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