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"Epigenetic Changes Programmed Into Future Generations But the most disturbing finding was that atrazine had epigenetic effects. Epigenetics is the theory that environmental factors, such as diet, lifestyle choices and pesticides can impact the health of people who are exposed to them and also their descendants. Human DNA, according to epigenetics, is not unchangeable; it can be altered by such environmental factors. Epigenetic changes can be imprinted on the DNA of a fetus during pregnancy according to Winchester."

In December 2019, the Coronavirus disease 2019 (COVID-19), caused by a novel coronavirus SARS-CoV-2, emerged in Wuhan, Hubei province, China1 and soon spread across the world. In this ongoing pandemic, public health concerns and the urgent need for effective therapeutic measures require a deep understanding of its epidemiology, transmissibility and pathogenesis. Here we analyzed the clinical, molecular and immunological data from 326 confirmed cases of COVID-19 in Shanghai. Genomic sequences of SARS-CoV-2 assembled from 112 quality samples together with sequences in the Global Initiative on Sharing All Influenza Data (GISAID) showed a stable evolution and suggested two major lineages with differential exposure history during the early phase of the outbreak in Wuhan. Nevertheless, they exhibited similar virulence and clinical outcomes. Lymphocytopenia, especially the reduced CD4+ and CD8+ T cell counts upon admission, was predictive of disease progression. High levels of IL-6 and IL-8 during treatment were observed in patients with severe or critical disease and correlated with decreased lymphocyte count. The determinants of disease severity seemed to stem mostly from host factors such as age, lymphocytopenia, and its associated cytokine storm, whereas viral genetic variation did not significantly affect the outcomes.

Aerosol transmission of viruses must be acknowledged as a key factor leading to the spread of infectious respiratory diseases. Evidence suggests that SARS-CoV-2 is silently spreading in aerosols exhaled by highly contagious infected individuals with no symptoms. Owing to their smaller size, aerosols may lead to higher severity of COVID-19 because virus-containing aerosols penetrate more deeply into the lungs (10). It is essential that control measures be introduced to reduce aerosol transmission. A multidisciplinary approach is needed to address a wide range of factors that lead to the production and airborne transmission of respiratory viruses, including the minimum virus titer required to cause COVID-19; viral load emitted as a function of droplet size before, during, and after infection; viability of the virus indoors and outdoors; mechanisms of transmission; airborne concentrations; and spatial patterns. More studies of the filtering efficiency of different types of masks are also needed. COVID-19 has inspired research that is already leading to a better understanding of the importance of airborne transmission of respiratory disease.

In rodents with type 2 diabetes, a single surgical injection of a protein called fibroblast growth factor 1 can restore blood sugar levels to normal for weeks or months. Yet how this growth factor acts in the brain to generate this lasting benefit has been poorly understood.

"That said, there's another factor driving the reaction of Clinton's supporters, and the best way I can find to approach it is to consider one of the more thoughtful responses from that side of the political landscape, an incisive essay posted to Livejournal last week by someone who goes by the nom de Web "Ferrett Steinmetz." The essay's titled The Cold, Cold Math We'll Need to Survive the Next Twenty Years, and it comes so close to understanding what happened last Tuesday that the remaining gap offers an unsparing glimpse straight to the heart of the failure of the Left to make its case to the rest of the American people. At the heart of the essay are two indisputable points. The first is that the core constituencies of the Democratic Party are not large enough by themselves to decide who gets to be president. That's just as true of the Republican party, by the way, and with few exceptions it's true in every democratic society.  Each party large enough to matter has a set of core constituencies who can be counted on to vote for it under most circumstances, and then has to figure out how to appeal to enough people outside its own base to win elections. That's something that both parties in the US tend to forget from time to time, and when they do so, they lose. The second indisputable point is that if Democrats want to win an election in today's America, they have to find ways to reach out to people who don't share the values and interests of the Left. It's the way that Ferrett Steinmetz frames that second point, though, that shows why the Democratic Party failed to accomplish that necessary task this time. "We have to reach out to people who hate us," Steinmetz says, and admits that he has no idea at all how to do that. "

The common challenge of covid-19 has produced very different outcomes around the world, leading to many questions about the determinants of national performance and shortcomings in global performance. Problems of reporting and standards do not make precise comparisons easy, but few would disagree that the roughly 1400 deaths reported by South Korea, Thailand, and Vietnam together represent far better results than the roughly 700 000 deaths reported by Brazil, the United Kingdom, and the United States.1 Adjusting these figures for population-the first group has about a third of the citizens of the second group-does not explain why covid-19 mortality differs by a factor of nearly 500. Neither typical proxy measures such as gross national income per capita nor national rankings on the 2019 Global Health Security Index have any meaningful association with performance on covid-19.2

Land use change-for example, the conversion of natural habitats to agricultural or urban ecosystems-is widely recognized to influence the risk and emergence of zoonotic disease in humans1,2. However, whether such changes in risk are underpinned by predictable ecological changes remains unclear. It has been suggested that habitat disturbance might cause predictable changes in the local diversity and taxonomic composition of potential reservoir hosts, owing to systematic, trait-mediated differences in species resilience to human pressures3,4. Here we analyse 6,801 ecological assemblages and 376 host species worldwide, controlling for research effort, and show that land use has global and systematic effects on local zoonotic host communities. Known wildlife hosts of human-shared pathogens and parasites overall comprise a greater proportion of local species richness (18-72% higher) and total abundance (21-144% higher) in sites under substantial human use (secondary, agricultural and urban ecosystems) compared with nearby undisturbed habitats. The magnitude of this effect varies taxonomically and is strongest for rodent, bat and passerine bird zoonotic host species, which may be one factor that underpins the global importance of these taxa as zoonotic reservoirs. We further show that mammal species that harbour more pathogens overall (either human-shared or non-human-shared) are more likely to occur in human-managed ecosystems, suggesting that these trends may be mediated by ecological or life-history traits that influence both host status and tolerance to human disturbance5,6. Our results suggest that global changes in the mode and the intensity of land use are creating expanding hazardous interfaces between people, livestock and wildlife reservoirs of zoonotic disease.

Most recent macro trends - cloud compute, social, mobile, crypto, AI - that have reshaped the technology landscape are rooted in new technical capabilities or pushing the frontier of product form factors. Another shock to the system is emerging today, driven not by the underlying technology, but by an evolution in customer buying behavior. For shorthand, we think of this trend as "growth+sales": the bottom-up growth motion eventually layered with top-down sales.

You probably interact with fifty to a hundred machine learning products every day, from your social media feeds and YouTube recommendations to your email spam filter and the updates that the New York Times, CNN, or Fox News decide to push, not to mention the hidden models that place ads on the websites you visit, and that redesign your 'experience' on the fly. Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. They differ fundamentally from each other along dimensions such as alignment of incentives between stakeholders, "creep factor", and the nature of how their feedback loops ope !L

Scientists zero in on the factors that heighten the chance of 'airblasts' after a slope collapses.