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Observational studies of the relationship between alcohol use and telomere length have produced conflicting results. The largest such study to date, of 4,567 individuals, found no association between alcohol intake and either baseline or longitudinal change in telomere length [9]. Another analysis of two American cohorts (n = 2623) also reported null findings [10]. On the other hand, a few small studies (sample size range: 255‑1800) have observed associations with heavy drinking or AUD. Participants with AUD have been reported to have shorter telomeres compared to healthy controls [11]. A longitudinal study of Helsinki businessmen observed that higher midlife alcohol consumption was associated with shorter telomere length in older age [8]. Drinking 30 g/day of alcohol in older participants was associated with shorter telomeres in a Korean study [12]. Associations were stronger in those experiencing the alcohol flush reaction, raising the intriguing possibility that acetaldehyde, ethanol’s toxic breakdown product, is mechanistically involved. In a recent review of 27 studies, 10 showed significant associations between alcohol use and telomere length [13]. The studies included cross-sectional and longitudinal designs. The majority comprised European participants with ages ranging from the third to seventh decade. Most studies observed positive associations between alcohol and LTL. However heterogeneity between studies in methods of quantifying telomere length and categorizing alcohol intake hindered meta-analysis and aggregation of the data.

MR seeks to identify potentially causal determinants of an outcome. It estimates the association between genetically predicted levels of an exposure and an outcome of interest. Residual confounding and reverse causation aim to be less of a concern than in most other methods of analyzing observational data [14]. With MR, genetic proxies can be used to study the effects of genetically-predicted variability in alcohol consumption or AUD risk. To our knowledge, no MR study of alcohol and telomere length has yet been attempted.

We conducted a large observational study of two alcohol phenotypes, alcohol consumption and AUD, and leucocyte. We then performed linear MR analyses to investigate the evidence for a causal effect between alcohol consumption/AUD and LTL. Estimates generated by our observational and genetic methods were compared. Genetic distinction between different alcohol use traits motivates their separate analysis. Quantity/frequency measures such as drinks per week and AUDIT-C (Alcohol Use Disorders Identification Test Consumption, a 3 item screening tool), while moderately genetically correlated with AUD, have distinct patterns of genetic correlation with other traits [13]. Furthermore, as there has been much speculation about potential J-shaped relationships between alcohol and health outcomes [15], we performed a non-linear MR analysis to examine the shape of the relationship between alcohol consumption and telomere length.

OAKLAND, Calif. July 25 (Reuters) — U.S. chipmaker Intel Corp (INTC.O) said on Monday it will produce chips for Taiwan’s MediaTek Inc (2454.TW), one of the world’s largest chip design firms.

The manufacturing arrangement is one of the most significant deals Intel has announced since it launched its so-called foundry business early last year.

A foundry business builds chips that other companies design and Taiwan Semiconductor Manufacturing Co (TSMC) (2330.TW) is the top player in that space. Intel has mainly built chips it designed itself.

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The existence of ethical concerns is precisely why it’s important for business owners to understand the different technologies driving the Metaverse forward and what impact they may have on users, the environment, and our society. By understanding these technologies, businesses can find new ways to enrich our society with constructive uses of virtual reality connectivity that enrich our world and keep the digital economy booming.

In addition, understanding these technologies is important because as more advanced techniques are developed for use in Metaverse projects, the average cost of US$48,000 for app design in the USA will undoubtedly go up. Business owners need to understand what they need to focus on when planning their next move.

Businesses also need to understand that as the landscape of the Metaverse evolves, the nature of the content will change as well. Creating quality content marketing strategies with these immersive, virtual environments in mind is essential as the industry moves forward.

The Dubai facility has the capacity to produce over two million pounds of leafy greens annually, and will grow lettuces, arugula, mixed salad greens, and spinach.

ECO stands for Emirates Crop One; the vertical farm is a joint venture between Crop One Holdings (a Massachusetts-based vertical farming company) and Emirates Flight Catering (the catering business that serves Emirates Airlines). Greens from the vertical farm will be served onboard Emirates flights, and will also be sold in grocery stores in the UAE. Since they’re grown in a sterile environment without pesticides, herbicides, or chemicals, the greens come ready-to-eat and don’t need to be washed.

The UAE is in many ways an ideal location for vertical farming, if not a place where the technology may soon become essential. It gets an abundance of sunlight but doesn’t have much water to speak of (it was, fittingly, the field testing site for a nanoparticle technology that helps sandy soil retain water and nutrients); that means vertical farms could use energy from solar panels to grow food indoors using 95 percent less water than traditional agriculture.

With the growing technological advancements, it is now possible to create complex applications without spending huge amounts of money, waiting for months and years, and employing multiple developers. The introduction of low-code and no-code platforms has made it possible to build applications integrated with advanced technologies. Here, we have listed some of the most prominent low-code platforms that developers can use to create AI applications in 2022.

Microsoft PowerApps: Microsoft PowerApps is a low-code platform that allows users to create business applications without writing code. The platform uses a drag-and-drop interface to build applications from a set of pre-built components that enables citizen developers to create business applications without writing code.

Salesforce Platform: Salesforce Platform is the first low-code platform that delivers the power and flexibility of an enterprise-grade custom app with the speed, agility, and simplicity of a SaaS app. It provides a visual drag-and-drop interface for creating applications and it offers a variety of ready-to-use templates.

How do you teach an autonomous drone to fly itself? Practice, practice, practice. Now Microsoft is offering a way to put a drone’s control software through its paces millions of times before the first takeoff.

The cloud-based simulation platform, Project AirSim, is being made available in limited preview starting today, in conjunction with this week’s Farnborough International Airshow in Britain.

“Project AirSim is a critical tool that lets us bridge the world of bits and the world of atoms, and it shows the power of the industrial metaverse — the virtual worlds where businesses will build, test and hone solutions, and then bring them into the real world,” Gurdeep Pall, Microsoft corporate vice president for business incubations in technology and research, said today in a blog posting.

Intel ((INTC) — Get Intel Corporation Report ) is the bearer of additional bad news.

The chip giant will give an extra blow to consumers and businesses concerned about the health of the economy. For several weeks in fact, consumers have seen their bills for groceries and other products increase. The price of gasoline at the pump has jumped when they go to fill up their car.

And the situation is not getting any better since inflation remains at its highest for forty years, which should push the Federal Reserve to be even more aggressive in raising rates. However, economists have already warned that this monetary policy would plunge the economy into recession.

In today’s business world, machine-learning algorithms are increasingly being applied to decision-making processes, which affects employment, education, and access to credit. But firms usually keep algorithms secret, citing concerns over gaming by users that can harm the predictive power of algorithms. Amid growing calls to require firms to make their algorithms transparent, a new study developed an analytical model to compare the profit of firms with and without such transparency. The study concluded that there are benefits but also risks in algorithmic transparency.

Conducted by researchers at Carnegie Mellon University (CMU) and the University of Michigan, the study appears in Management Science.

“As managers face calls to boost , our findings can help them make decisions to benefit their firms,” says Param Vir Singh, Professor of Business Technologies and Marketing at CMU’s Tepper School of Business, who coauthored the study.