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In 2010 Prof. Shlomo Havlin and collaborators published an article in the journal Nature proposing that the abrupt electricity failure causing the famous 2003 Italy blackout was a consequence of the inter-dependency of two networks. According to Havlin’s theory the dependency between the power network and its communication system led to cascading failures and abrupt collapse. Havlin’s seminal work ignited a new field in statistical physics known as “network of networks” or “interdependent networks” and paved the way for understanding and predicting the effects of the interaction between networks.

The main novelty of Havlin’s model is the existence of two types of links that represent two qualitatively different kinds of interactions. Within networks, links between nodes describe connectivity such as or communication connections. Between networks, on the other hand, links describe dependency relationships in which the functionality of a node in one network depends on the functionality of a node in the other. The communication hubs need electricity and the electric power stations depend on communication control. This dependency leads to a cascading effect in which failure of a single node in one of the networks could lead to an abrupt breakdown of both networks.

Over the past decade or so since, Havlin, from the Department of Physics at Bar-Ilan University in Israel, and others have applied this concept to a variety of abstract systems, such as the internet, road traffic, the economy, infrastructure, and more. But being a theorist, Havlin was unable to manifest the hypothesis on real experimental physical systems and thus the theory couldn’t be confirmed in controlled experiments, nor could it be implemented for device-type applications.

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Year 2020 😗😁


Schizophrenia is one of the top 25 causes of global diseases burdens in terms of years lived with the disease and the emotional and economical strains it imposes on the society. Several strategies have been used to treat the patients, specially using typical and atypical psychoactives. However, due to its multifactorial characteristic and patient resistance, schizophrenia is still a difficult disease to diagnose and treat. Thus, new strategies for diagnostics and treatment must be researched to optimize the efficacy and reduce the side effects of the actual therapy. Nanomedicine tries to improve low-weight molecular agents for treatment of diseases through the use of nanoscaled carriers. Among nanomedicine, nanopsychiatry specifically deals with the potential role of nanotechnology in solving psychiatry diseases problems. Therefore, the objective of this work is to provide an overview of the state of the art of nanopsychiatry in the sense of treating schizophrenia.

Yesterday the U.S. Preventative Service Task Force (USPSTF) announced an updated recommendation for breast cancer screening focusing on encouraging more women to begin biennial (every other year) mammograms at age 40. This recommendation, available online now in draft form, is an update to the Task Force’s January 2016 recommendation that women aged 50 – 74 receive mammograms every other year. At the same time, the USPSTF noted that women in their 40s should make an individual choice regarding regular breast cancer screening.

The USPSTF, comprised of experts in disease prevention and evidence-based medicine, serves as an independent team striving to improve the health of people throughout the United States. The Task Force recommends preventative healthcare based on evidence and clinical data. While the recommendations levied by the Task Force pertain to various preventative services, including cancer screening, behavioral counseling, and preventive medicines, the group’s overarching focus remains to help stay healthy.

Importantly, the USPSTF does not conduct its own studies or clinical trials. Instead, this group reviews evidence on preventative approaches to different diseases to conclude the potential pros and cons of such measures.

Cristina Montes Muntinlupa, Philippines

The most common method astronomers use to determine the composition of stars, planets, and other objects is spectroscopy. Today, this process uses instruments with a grating that spreads out the light from an object by wavelength. This spread-out light is called a spectrum. Every element — and combination of elements — has a unique fingerprint that astronomers can look for in the spectrum of a given object. Identifying those fingerprints allows researchers to determine what it is made of.

So you are pretty sure artificial intelligence is the future and you want a job in AI before it takes yours, but you don’t know how to code or have a background in technology. Not to worry! There’s a new job you are likely qualified for, and it’s paying hundreds of thousands of dollars a year.

What To Know: Microsoft Corp MSFT-backed ChatGPT has taken the world by storm. It exceeded 100 million monthly active users in two months’ time, making it the fastest-growing platform ever, and it’s not slowing down.

The thing about chatbots like ChatGPT is they need to be taught by humans. After a developer builds a large language model (LLM), the program needs to learn to communicate. That’s where you could come into play.

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